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class | open_issues int64 3 104 ⌀ | file_path stringlengths 3 208 | file_name stringclasses 509
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
graspologic-org/graspologic | https://github.com/graspologic-org/graspologic | https://api.github.com/repos/graspologic-org/graspologic | graspologic-org | graspologic | Python package for graph statistics | 995 | 170 | 995 | mit | main | 2018-09-07T04:00:05 | 2026-04-30T00:01:20 | [
"data-science",
"graph",
"graph-statistics",
"machine-learning",
"networks",
"python"
] | {
"Python": 1132802
} | false | 72 | graspologic/match/wrappers.py | wrappers.py | .py | 14,080 | https://github.com/graspologic-org/graspologic/blob/main/graspologic/match/wrappers.py | https://raw.githubusercontent.com/graspologic-org/graspologic/main/graspologic/match/wrappers.py | c086ff30fcfbb50b3dee01b062304005d7b8a8cf | Python | 2026-05-04T01:17:45.091539 | # Copyright (c) Microsoft Corporation and contributors.
# Licensed under the MIT License.
from typing import Any, NamedTuple, Optional
import numpy as np
from beartype import beartype
from joblib import Parallel, delayed
from sklearn.utils import check_scalar
from graspologic.match.solver import _GraphMatchSolver
fr... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | calc_metrics.py | calc_metrics.py | .py | 8,527 | https://github.com/autonomousvision/stylegan-xl/blob/main/calc_metrics.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/calc_metrics.py | 7599a0e0de590d0ef15f6df821ef4536431ddae4 | Python | 2026-05-04T01:17:49.915332 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | dataset_tool.py | dataset_tool.py | .py | 18,591 | https://github.com/autonomousvision/stylegan-xl/blob/main/dataset_tool.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/dataset_tool.py | 1fd0868df64d61203c90a0c5065a1d0785c6a624 | Python | 2026-05-04T01:17:51.554489 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | dnnlib/__init__.py | __init__.py | .py | 488 | https://github.com/autonomousvision/stylegan-xl/blob/main/dnnlib/__init__.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/dnnlib/__init__.py | e7423bffe245d0ff3f32e8658aa67daae454e64e | Python | 2026-05-04T01:17:52.982914 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | dnnlib/util.py | util.py | .py | 17,132 | https://github.com/autonomousvision/stylegan-xl/blob/main/dnnlib/util.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/dnnlib/util.py | 6bbdf3bd8fe1c138cd969d37dcc52190b45c4c16 | Python | 2026-05-04T01:17:54.410604 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | feature_networks/clip/clip.py | clip.py | .py | 9,329 | https://github.com/autonomousvision/stylegan-xl/blob/main/feature_networks/clip/clip.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/feature_networks/clip/clip.py | 2d75adc5a944beff8d7b2457c208d93a64805219 | Python | 2026-05-04T01:17:55.866883 | import hashlib
import os
import urllib
import warnings
from typing import Union, List
import torch
import torch.nn as nn
from PIL import Image
from torchvision.transforms import Compose, Resize, CenterCrop, ToTensor, Normalize
from tqdm import tqdm
from .model import build_model
from .simple_tokenizer import SimpleTo... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | feature_networks/clip/model.py | model.py | .py | 18,151 | https://github.com/autonomousvision/stylegan-xl/blob/main/feature_networks/clip/model.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/feature_networks/clip/model.py | c5d73cf6025f4f930ba43f844d40527f21e9c1e1 | Python | 2026-05-04T01:17:57.281539 | from collections import OrderedDict
from typing import Tuple, Union
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
class Bottleneck(nn.Module):
expansion = 4
def __init__(self, inplanes, planes, stride=1):
super().__init__()
# all conv layers have strid... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | feature_networks/clip/simple_tokenizer.py | simple_tokenizer.py | .py | 4,632 | https://github.com/autonomousvision/stylegan-xl/blob/main/feature_networks/clip/simple_tokenizer.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/feature_networks/clip/simple_tokenizer.py | 0a66286b7d5019c6e221932a813768038f839c91 | Python | 2026-05-04T01:17:58.423097 | import gzip
import html
import os
from functools import lru_cache
import ftfy
import regex as re
@lru_cache()
def default_bpe():
return os.path.join(os.path.dirname(os.path.abspath(__file__)), "bpe_simple_vocab_16e6.txt.gz")
@lru_cache()
def bytes_to_unicode():
"""
Returns list of utf-8 byte and a corr... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | feature_networks/constants.py | constants.py | .py | 2,282 | https://github.com/autonomousvision/stylegan-xl/blob/main/feature_networks/constants.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/feature_networks/constants.py | e3c61ca1f678b56529627b6a32adc2c44a6409c2 | Python | 2026-05-04T01:17:59.744284 | TORCHVISION = [
"vgg11_bn",
"vgg13_bn",
"vgg16",
"vgg16_bn",
"vgg19_bn",
"densenet121",
"densenet169",
"densenet201",
"inception_v3",
"resnet18",
"resnet34",
"resnet50",
"resnet101",
"resnet152",
"shufflenet_v2_x0_5",
"mobilenet_v2",
"wide_resnet50_2",... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | feature_networks/pretrained_builder.py | pretrained_builder.py | .py | 13,405 | https://github.com/autonomousvision/stylegan-xl/blob/main/feature_networks/pretrained_builder.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/feature_networks/pretrained_builder.py | 6b78497622e0eb0c0375a02e97be121e9c200c17 | Python | 2026-05-04T01:18:01.210571 | import numpy as np
import torch
import torch.nn as nn
import torchvision.models as zoomodels
from torch.autograd import Function
import timm
from feature_networks import clip
from feature_networks.vit import _make_vit_b16_backbone, forward_vit
from feature_networks.constants import ALL_MODELS, VITS, EFFNETS, REGNETS
... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | feature_networks/vit.py | vit.py | .py | 14,450 | https://github.com/autonomousvision/stylegan-xl/blob/main/feature_networks/vit.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/feature_networks/vit.py | 957f90952ec906fac72780497bcfb2b21cb1319f | Python | 2026-05-04T01:18:02.818068 | import torch
import torch.nn as nn
import timm
import types
import math
import torch.nn.functional as F
class Slice(nn.Module):
def __init__(self, start_index=1):
super(Slice, self).__init__()
self.start_index = start_index
def forward(self, x):
return x[:, self.start_index :]
class... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | gen_class_samplesheet.py | gen_class_samplesheet.py | .py | 2,797 | https://github.com/autonomousvision/stylegan-xl/blob/main/gen_class_samplesheet.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/gen_class_samplesheet.py | 3f578e4f7f4c0739ab7d97dbd5521dc55c83196c | Python | 2026-05-04T01:18:04.050656 | import os
from pathlib import Path
import PIL.Image
from typing import List
import click
import numpy as np
import torch
from tqdm import tqdm
import legacy
import dnnlib
from training.training_loop import save_image_grid
from torch_utils import gen_utils
from gen_images import parse_range
@click.command()
@click.opt... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | gen_images.py | gen_images.py | .py | 4,981 | https://github.com/autonomousvision/stylegan-xl/blob/main/gen_images.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/gen_images.py | 996eec313a8e819505b8f6b6bbca2dfae1e79757 | Python | 2026-05-04T01:18:05.368059 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | gen_video.py | gen_video.py | .py | 8,063 | https://github.com/autonomousvision/stylegan-xl/blob/main/gen_video.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/gen_video.py | 74fd8d6e9c1517171a4da219b24572ff430600b0 | Python | 2026-05-04T01:18:06.904679 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | gui_utils/__init__.py | __init__.py | .py | 448 | https://github.com/autonomousvision/stylegan-xl/blob/main/gui_utils/__init__.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/gui_utils/__init__.py | 939e7c6c8f94c4ea1141885c3c3295fe083b06aa | Python | 2026-05-04T01:18:08.086410 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | gui_utils/gl_utils.py | gl_utils.py | .py | 16,342 | https://github.com/autonomousvision/stylegan-xl/blob/main/gui_utils/gl_utils.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/gui_utils/gl_utils.py | 64b6cb6510ab2f5075effe8684d824f50bd38272 | Python | 2026-05-04T01:18:09.566992 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | gui_utils/glfw_window.py | glfw_window.py | .py | 7,848 | https://github.com/autonomousvision/stylegan-xl/blob/main/gui_utils/glfw_window.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/gui_utils/glfw_window.py | 83264eb89a855ec5038cf255994ee2b4b3ddb5ee | Python | 2026-05-04T01:18:11.017123 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | gui_utils/imgui_utils.py | imgui_utils.py | .py | 6,612 | https://github.com/autonomousvision/stylegan-xl/blob/main/gui_utils/imgui_utils.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/gui_utils/imgui_utils.py | 333024bd6999bf2b18a5cb96766c4da3798666a2 | Python | 2026-05-04T01:18:12.367765 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | gui_utils/imgui_window.py | imgui_window.py | .py | 3,994 | https://github.com/autonomousvision/stylegan-xl/blob/main/gui_utils/imgui_window.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/gui_utils/imgui_window.py | 30d539a1382def526050c83978d1118348ac77ad | Python | 2026-05-04T01:18:13.578932 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | gui_utils/text_utils.py | text_utils.py | .py | 5,637 | https://github.com/autonomousvision/stylegan-xl/blob/main/gui_utils/text_utils.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/gui_utils/text_utils.py | 35e5e4a16dc62c4be80df5432208bce5d386bf16 | Python | 2026-05-04T01:18:15.197349 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | legacy.py | legacy.py | .py | 16,875 | https://github.com/autonomousvision/stylegan-xl/blob/main/legacy.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/legacy.py | fc043b983b9302e88ed66e3d5a1830c750d0af20 | Python | 2026-05-04T01:18:16.654074 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | metrics/__init__.py | __init__.py | .py | 448 | https://github.com/autonomousvision/stylegan-xl/blob/main/metrics/__init__.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/metrics/__init__.py | 939e7c6c8f94c4ea1141885c3c3295fe083b06aa | Python | 2026-05-04T01:18:17.876741 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | metrics/equivariance.py | equivariance.py | .py | 10,868 | https://github.com/autonomousvision/stylegan-xl/blob/main/metrics/equivariance.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/metrics/equivariance.py | d5559aca37b45e246a2ed279193cf4d59011f0b9 | Python | 2026-05-04T01:18:19.294377 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | metrics/frechet_inception_distance.py | frechet_inception_distance.py | .py | 2,341 | https://github.com/autonomousvision/stylegan-xl/blob/main/metrics/frechet_inception_distance.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/metrics/frechet_inception_distance.py | ec916ca95c3f2fdbf532299fffa4c237899d821e | Python | 2026-05-04T01:18:20.625456 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | metrics/inception_score.py | inception_score.py | .py | 1,901 | https://github.com/autonomousvision/stylegan-xl/blob/main/metrics/inception_score.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/metrics/inception_score.py | e0a3a442b4cd7f993773ee77c5394796c28c2ef8 | Python | 2026-05-04T01:18:21.759994 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | metrics/kernel_inception_distance.py | kernel_inception_distance.py | .py | 2,329 | https://github.com/autonomousvision/stylegan-xl/blob/main/metrics/kernel_inception_distance.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/metrics/kernel_inception_distance.py | d69325c1ef4e2894817ef6003e9335c4de657199 | Python | 2026-05-04T01:18:23.316030 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | metrics/metric_main.py | metric_main.py | .py | 6,733 | https://github.com/autonomousvision/stylegan-xl/blob/main/metrics/metric_main.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/metrics/metric_main.py | 26362bc0ba56f25c13f1f0570f1f2fd9da121901 | Python | 2026-05-04T01:18:24.634850 | # distribution of this software and related documentation without an express
# license agreement from NVIDIA CORPORATION is strictly prohibited.
"""Main API for computing and reporting quality metrics."""
import os
import time
import json
import torch
import dnnlib
from . import metric_utils
from . import frechet_in... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | metrics/metric_utils.py | metric_utils.py | .py | 14,459 | https://github.com/autonomousvision/stylegan-xl/blob/main/metrics/metric_utils.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/metrics/metric_utils.py | b095614e75f3f0add7f748a8a9da1827b389f940 | Python | 2026-05-04T01:18:26.219198 | # Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | metrics/perceptual_path_length.py | perceptual_path_length.py | .py | 5,256 | https://github.com/autonomousvision/stylegan-xl/blob/main/metrics/perceptual_path_length.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/metrics/perceptual_path_length.py | c68519fea298b076ef317b5ea75e22a77225baaf | Python | 2026-05-04T01:18:27.604878 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | metrics/precision_recall.py | precision_recall.py | .py | 3,738 | https://github.com/autonomousvision/stylegan-xl/blob/main/metrics/precision_recall.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/metrics/precision_recall.py | 8e51b9a1abddcb3f11001d528a387c05f494ef05 | Python | 2026-05-04T01:18:28.827946 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | pg_modules/blocks.py | blocks.py | .py | 10,639 | https://github.com/autonomousvision/stylegan-xl/blob/main/pg_modules/blocks.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/pg_modules/blocks.py | 2e8c999af4a4eccc5e9864beb4f3f9105d98b92d | Python | 2026-05-04T01:18:30.353029 | import functools
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils import spectral_norm
from training.networks_stylegan2 import Conv2dLayer, Conv2dLayerDepthwise
### single layers
def conv2d(*args, **kwargs):
return spectral_norm(nn.Conv2d(*args, **kwargs))
def convTranspose... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | pg_modules/discriminator.py | discriminator.py | .py | 7,513 | https://github.com/autonomousvision/stylegan-xl/blob/main/pg_modules/discriminator.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/pg_modules/discriminator.py | f76c8e58eeb8d63cafaf2f0d0a2df6cfd41bc49c | Python | 2026-05-04T01:18:31.721010 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision.transforms import Normalize
import pickle
from training.diffaug import DiffAugment
from training.networks_stylegan2 import FullyConnectedLayer
from pg_modules.blocks import conv2d, DownBlock, DownBlockPatch
from pg_m... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | pg_modules/projector.py | projector.py | .py | 5,678 | https://github.com/autonomousvision/stylegan-xl/blob/main/pg_modules/projector.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/pg_modules/projector.py | d923cc3a277eac67af0bdb763f204fdbd4bcb757 | Python | 2026-05-04T01:18:32.994393 | import torch
import torch.nn as nn
from feature_networks.vit import forward_vit
from feature_networks.pretrained_builder import _make_pretrained
from feature_networks.constants import NORMALIZED_INCEPTION, NORMALIZED_IMAGENET, NORMALIZED_CLIP, VITS
from pg_modules.blocks import FeatureFusionBlock
def get_backbone_nor... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | run_inversion.py | run_inversion.py | .py | 12,935 | https://github.com/autonomousvision/stylegan-xl/blob/main/run_inversion.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/run_inversion.py | 6758df9f344fb4b00254a120579e450fa4ffd59b | Python | 2026-05-04T01:18:35.370551 | """Project given image to the latent space of pretrained network pickle."""
import copy
import os
from time import perf_counter
import dill
import click
import imageio
import numpy as np
import PIL.Image
import torch
import torch.nn.functional as F
from tqdm import trange
import dnnlib
import legacy
from metrics imp... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | run_stylemc.py | run_stylemc.py | .py | 11,667 | https://github.com/autonomousvision/stylegan-xl/blob/main/run_stylemc.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/run_stylemc.py | bc79fbfe6f0a91e2bdfe8228dbb6bbec87d63cd9 | Python | 2026-05-04T01:18:36.515906 | """
Approach: "StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation"
Reimplemented and modified by Axel Sauer for "StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets"
"""
import os
import re
import click
import legacy
from typing import List, Optional
import PIL.Image
import imageio
from... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/__init__.py | __init__.py | .py | 448 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/__init__.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/__init__.py | 939e7c6c8f94c4ea1141885c3c3295fe083b06aa | Python | 2026-05-04T01:18:38.340076 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/custom_ops.py | custom_ops.py | .py | 6,666 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/custom_ops.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/custom_ops.py | dd7cc046e925f58602154be9bdf678ca9d76f59f | Python | 2026-05-04T01:18:39.606502 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/gen_utils.py | gen_utils.py | .py | 25,284 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/gen_utils.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/gen_utils.py | 62c9cb05edc4157a49acf517e282cc0815bc15d6 | Python | 2026-05-04T01:18:41.143885 | # Code from: https://github.com/PDillis/stylegan3-fun
import os
import re
import json
from typing import List, Tuple, Union, Optional
from collections import OrderedDict
from locale import atof
import click
import numpy as np
import torch
import torch.nn.functional as F
import dnnlib
# ----------------------------... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/misc.py | misc.py | .py | 11,872 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/misc.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/misc.py | fec19dc99ceb91dedcbb3f6992028abf41026eb4 | Python | 2026-05-04T01:18:42.642067 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/ops/__init__.py | __init__.py | .py | 448 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/ops/__init__.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/ops/__init__.py | 939e7c6c8f94c4ea1141885c3c3295fe083b06aa | Python | 2026-05-04T01:18:43.976824 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/ops/bias_act.py | bias_act.py | .py | 9,813 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/ops/bias_act.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/ops/bias_act.py | 5c485c0027570decab26f0b6602a363a432b851f | Python | 2026-05-04T01:18:45.303958 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/ops/conv2d_gradfix.py | conv2d_gradfix.py | .py | 9,465 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/ops/conv2d_gradfix.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/ops/conv2d_gradfix.py | 388778fa971d7bc5c64b5fd6c0e5492863ee1c5f | Python | 2026-05-04T01:18:46.684708 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/ops/conv2d_resample.py | conv2d_resample.py | .py | 6,765 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/ops/conv2d_resample.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/ops/conv2d_resample.py | 5eb5877d7ffe4af74a2165f1d8d8c39dfac2476b | Python | 2026-05-04T01:18:48.192169 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/ops/filtered_lrelu.py | filtered_lrelu.py | .py | 12,915 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/ops/filtered_lrelu.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/ops/filtered_lrelu.py | b606f7fc486206268d8b53ff32a09635d7ce3231 | Python | 2026-05-04T01:18:49.606578 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/ops/fma.py | fma.py | .py | 2,047 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/ops/fma.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/ops/fma.py | 51a45dfa0829987e8ee5214663e068cb3af2a8b9 | Python | 2026-05-04T01:18:50.936782 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/ops/grid_sample_gradfix.py | grid_sample_gradfix.py | .py | 3,020 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/ops/grid_sample_gradfix.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/ops/grid_sample_gradfix.py | 979ee831b232c68b8c271be9e376c70c57a31b02 | Python | 2026-05-04T01:18:52.295072 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/ops/upfirdn2d.py | upfirdn2d.py | .py | 16,392 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/ops/upfirdn2d.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/ops/upfirdn2d.py | b544be1d52e97bfc02e59d08c30c6ddbb69bdbde | Python | 2026-05-04T01:18:53.827152 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/persistence.py | persistence.py | .py | 9,752 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/persistence.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/persistence.py | f90ce85e8ace0f44e839158b22c5790de448d82d | Python | 2026-05-04T01:18:55.646291 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/training_stats.py | training_stats.py | .py | 10,720 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/training_stats.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/training_stats.py | 5de4134f1943e7c3104bbc926b2abaf828626525 | Python | 2026-05-04T01:18:56.978670 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | torch_utils/utils_spectrum.py | utils_spectrum.py | .py | 5,658 | https://github.com/autonomousvision/stylegan-xl/blob/main/torch_utils/utils_spectrum.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/torch_utils/utils_spectrum.py | 2931ea13f455dad3208bd17e0394e958f3ccff63 | Python | 2026-05-04T01:18:58.431847 | import torch
from torch.fft import fftn
def roll_quadrants(data, backwards=False):
"""
Shift low frequencies to the center of fourier transform, i.e. [-N/2, ..., +N/2] -> [0, ..., N-1]
Args:
data: fourier transform, (NxHxW)
backwards: bool, if True shift high frequencies back to center
... |
autonomousvision/stylegan-xl | https://github.com/autonomousvision/stylegan-xl | https://api.github.com/repos/autonomousvision/stylegan-xl | autonomousvision | stylegan-xl | [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | 995 | 118 | 995 | mit | main | 2022-02-01T20:11:25 | 2026-04-15T14:18:10 | [] | {
"Python": 688904,
"Cuda": 101457,
"C++": 32603
} | false | 45 | train.py | train.py | .py | 17,044 | https://github.com/autonomousvision/stylegan-xl/blob/main/train.py | https://raw.githubusercontent.com/autonomousvision/stylegan-xl/main/train.py | 5191144edb321edc5c6d833ecfd857ecb1c64ebb | Python | 2026-05-04T01:18:59.694875 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... |
ivandokov/phockup | https://github.com/ivandokov/phockup | https://api.github.com/repos/ivandokov/phockup | ivandokov | phockup | Media sorting tool to organize photos and videos from your camera in folders by year, month and day. | 995 | 113 | 995 | mit | master | 2016-09-04T21:15:52 | 2026-05-01T17:13:05 | [
"camera",
"exiftool",
"organize-media-files",
"organize-photos",
"photobackup",
"sort-images",
"sort-media-files",
"sort-videos",
"sorting"
] | {
"Python": 64777,
"Shell": 1175,
"Dockerfile": 403
} | false | 30 | __main__.py | __main__.py | .py | 251 | https://github.com/ivandokov/phockup/blob/master/__main__.py | https://raw.githubusercontent.com/ivandokov/phockup/master/__main__.py | 828aa3408564ee8593c6508e590d188e64eea888 | Python | 2026-05-04T01:19:04.043863 | #!/usr/bin/env python3
import sys
from phockup import main
from src.printer import Printer
if __name__ == '__main__':
try:
main(sys.argv[1:])
except KeyboardInterrupt:
Printer().empty().line('Exiting...')
sys.exit(0)
|
ivandokov/phockup | https://github.com/ivandokov/phockup | https://api.github.com/repos/ivandokov/phockup | ivandokov | phockup | Media sorting tool to organize photos and videos from your camera in folders by year, month and day. | 995 | 113 | 995 | mit | master | 2016-09-04T21:15:52 | 2026-05-01T17:13:05 | [
"camera",
"exiftool",
"organize-media-files",
"organize-photos",
"photobackup",
"sort-images",
"sort-media-files",
"sort-videos",
"sorting"
] | {
"Python": 64777,
"Shell": 1175,
"Dockerfile": 403
} | false | 30 | phockup.py | phockup.py | .py | 12,199 | https://github.com/ivandokov/phockup/blob/master/phockup.py | https://raw.githubusercontent.com/ivandokov/phockup/master/phockup.py | c432f57192d59d013609623bec45b165eb4d31f7 | Python | 2026-05-04T01:19:05.478727 | #!/usr/bin/env python3
import argparse
import logging
import logging.handlers
import os
import re
import sys
from src.date import Date
from src.dependency import check_dependencies
from src.phockup import Phockup
__version__ = '1.13.0'
PROGRAM_DESCRIPTION = """\
Media sorting tool to organize photos and videos from ... |
ivandokov/phockup | https://github.com/ivandokov/phockup | https://api.github.com/repos/ivandokov/phockup | ivandokov | phockup | Media sorting tool to organize photos and videos from your camera in folders by year, month and day. | 995 | 113 | 995 | mit | master | 2016-09-04T21:15:52 | 2026-05-01T17:13:05 | [
"camera",
"exiftool",
"organize-media-files",
"organize-photos",
"photobackup",
"sort-images",
"sort-media-files",
"sort-videos",
"sorting"
] | {
"Python": 64777,
"Shell": 1175,
"Dockerfile": 403
} | false | 30 | src/date.py | date.py | .py | 5,011 | https://github.com/ivandokov/phockup/blob/master/src/date.py | https://raw.githubusercontent.com/ivandokov/phockup/master/src/date.py | 0454343786833e1e3eb860cfde0dc5bb26bc7ad5 | Python | 2026-05-04T01:19:07.320069 | import os
import re
from datetime import datetime, timedelta
class Date:
def __init__(self, filename=None):
self.filename = filename
@staticmethod
def parse(date: str) -> str:
date = date.replace('YYYY', '%Y') # 2017 (year)
date = date.replace('YY', '%y') # 17 (year)
dat... |
ivandokov/phockup | https://github.com/ivandokov/phockup | https://api.github.com/repos/ivandokov/phockup | ivandokov | phockup | Media sorting tool to organize photos and videos from your camera in folders by year, month and day. | 995 | 113 | 995 | mit | master | 2016-09-04T21:15:52 | 2026-05-01T17:13:05 | [
"camera",
"exiftool",
"organize-media-files",
"organize-photos",
"photobackup",
"sort-images",
"sort-media-files",
"sort-videos",
"sorting"
] | {
"Python": 64777,
"Shell": 1175,
"Dockerfile": 403
} | false | 30 | src/dependency.py | dependency.py | .py | 245 | https://github.com/ivandokov/phockup/blob/master/src/dependency.py | https://raw.githubusercontent.com/ivandokov/phockup/master/src/dependency.py | 41055b473c3e6609dcf7b4bb83b61bf0f942beb6 | Python | 2026-05-04T01:19:08.653002 | import logging
import shutil
logger = logging.getLogger('phockup')
def check_dependencies():
if shutil.which('exiftool') is None:
raise Exception("Exiftool is not installed.\
Visit http://www.sno.phy.queensu.ca/~phil/exiftool/")
|
ivandokov/phockup | https://github.com/ivandokov/phockup | https://api.github.com/repos/ivandokov/phockup | ivandokov | phockup | Media sorting tool to organize photos and videos from your camera in folders by year, month and day. | 995 | 113 | 995 | mit | master | 2016-09-04T21:15:52 | 2026-05-01T17:13:05 | [
"camera",
"exiftool",
"organize-media-files",
"organize-photos",
"photobackup",
"sort-images",
"sort-media-files",
"sort-videos",
"sorting"
] | {
"Python": 64777,
"Shell": 1175,
"Dockerfile": 403
} | false | 30 | src/exif.py | exif.py | .py | 1,080 | https://github.com/ivandokov/phockup/blob/master/src/exif.py | https://raw.githubusercontent.com/ivandokov/phockup/master/src/exif.py | 676e19165c7b68d58d590bf2c97ffacde480700b | Python | 2026-05-04T01:19:09.893683 | import json
import shlex
import subprocess
import sys
import threading
from subprocess import CalledProcessError, check_output
class Exif(object):
def __init__(self, filename):
self.filename = filename
def data(self):
try:
exif_command = self.get_exif_command(self.filename)
... |
ivandokov/phockup | https://github.com/ivandokov/phockup | https://api.github.com/repos/ivandokov/phockup | ivandokov | phockup | Media sorting tool to organize photos and videos from your camera in folders by year, month and day. | 995 | 113 | 995 | mit | master | 2016-09-04T21:15:52 | 2026-05-01T17:13:05 | [
"camera",
"exiftool",
"organize-media-files",
"organize-photos",
"photobackup",
"sort-images",
"sort-media-files",
"sort-videos",
"sorting"
] | {
"Python": 64777,
"Shell": 1175,
"Dockerfile": 403
} | false | 30 | src/phockup.py | phockup.py | .py | 17,267 | https://github.com/ivandokov/phockup/blob/master/src/phockup.py | https://raw.githubusercontent.com/ivandokov/phockup/master/src/phockup.py | 5add1cd046ba14895c545ef0f0093189028bf37b | Python | 2026-05-04T01:19:11.825825 | #!/usr/bin/env python3
import concurrent.futures
import filecmp
import logging
import os
import re
import shutil
import sys
import time
from tqdm import tqdm
from src.date import Date
from src.exif import Exif
logger = logging.getLogger('phockup')
ignored_files = ('.DS_Store', 'Thumbs.db')
class Phockup:
DEFAU... |
ivandokov/phockup | https://github.com/ivandokov/phockup | https://api.github.com/repos/ivandokov/phockup | ivandokov | phockup | Media sorting tool to organize photos and videos from your camera in folders by year, month and day. | 995 | 113 | 995 | mit | master | 2016-09-04T21:15:52 | 2026-05-01T17:13:05 | [
"camera",
"exiftool",
"organize-media-files",
"organize-photos",
"photobackup",
"sort-images",
"sort-media-files",
"sort-videos",
"sorting"
] | {
"Python": 64777,
"Shell": 1175,
"Dockerfile": 403
} | false | 30 | tests/test_date.py | test_date.py | .py | 4,424 | https://github.com/ivandokov/phockup/blob/master/tests/test_date.py | https://raw.githubusercontent.com/ivandokov/phockup/master/tests/test_date.py | 6a027d65075c7ae54988e981f68480b3726e8aee | Python | 2026-05-04T01:19:13.157643 | #!/usr/bin/env python3
import os
import re
from datetime import datetime
from src.date import Date
os.chdir(os.path.dirname(__file__))
def test_parse_date_format_valid():
"""Test that parse_date_format returns a valid format for strftime"""
datetime.strftime(
datetime.now(),
Date().parse("YY... |
ivandokov/phockup | https://github.com/ivandokov/phockup | https://api.github.com/repos/ivandokov/phockup | ivandokov | phockup | Media sorting tool to organize photos and videos from your camera in folders by year, month and day. | 995 | 113 | 995 | mit | master | 2016-09-04T21:15:52 | 2026-05-01T17:13:05 | [
"camera",
"exiftool",
"organize-media-files",
"organize-photos",
"photobackup",
"sort-images",
"sort-media-files",
"sort-videos",
"sorting"
] | {
"Python": 64777,
"Shell": 1175,
"Dockerfile": 403
} | false | 30 | tests/test_exif.py | test_exif.py | .py | 808 | https://github.com/ivandokov/phockup/blob/master/tests/test_exif.py | https://raw.githubusercontent.com/ivandokov/phockup/master/tests/test_exif.py | c625904ffba5995755a37a608e80feacfea2a4e3 | Python | 2026-05-04T01:19:14.490376 | #!/usr/bin/env python3
import os
from subprocess import CalledProcessError
from src.exif import Exif
os.chdir(os.path.dirname(__file__))
def test_exif_reads_valid_file():
exif = Exif("input/exif.jpg")
assert exif.data()['CreateDate'] == '2017:01:01 01:01:01'
def test_exif_reads_files_with_illegal_characte... |
ivandokov/phockup | https://github.com/ivandokov/phockup | https://api.github.com/repos/ivandokov/phockup | ivandokov | phockup | Media sorting tool to organize photos and videos from your camera in folders by year, month and day. | 995 | 113 | 995 | mit | master | 2016-09-04T21:15:52 | 2026-05-01T17:13:05 | [
"camera",
"exiftool",
"organize-media-files",
"organize-photos",
"photobackup",
"sort-images",
"sort-media-files",
"sort-videos",
"sorting"
] | {
"Python": 64777,
"Shell": 1175,
"Dockerfile": 403
} | false | 30 | tests/test_phockup.py | test_phockup.py | .py | 23,492 | https://github.com/ivandokov/phockup/blob/master/tests/test_phockup.py | https://raw.githubusercontent.com/ivandokov/phockup/master/tests/test_phockup.py | 0c634a6bbe2d6dc96abf17321733982c3137a1a0 | Python | 2026-05-04T01:19:15.982929 | #!/usr/bin/env python3
import logging
import os
import shutil
import sys
from datetime import datetime
import pytest
from src.dependency import check_dependencies
from src.exif import Exif
from src.phockup import Phockup
os.chdir(os.path.dirname(__file__))
def test_check_dependencies(mocker):
mocker.patch('shu... |
KaiyangZhou/pytorch-center-loss | https://github.com/KaiyangZhou/pytorch-center-loss | https://api.github.com/repos/KaiyangZhou/pytorch-center-loss | KaiyangZhou | pytorch-center-loss | Pytorch implementation of Center Loss | 995 | 217 | 995 | mit | master | 2018-03-21T16:12:01 | 2026-04-03T01:48:32 | [
"center-loss",
"computer-vision",
"deep-learning",
"feature-learning",
"loss-functions",
"python",
"pytorch"
] | {
"Python": 14841
} | false | 23 | center_loss.py | center_loss.py | .py | 1,619 | https://github.com/KaiyangZhou/pytorch-center-loss/blob/master/center_loss.py | https://raw.githubusercontent.com/KaiyangZhou/pytorch-center-loss/master/center_loss.py | 9e87012b8b806c4c8ca15696416ccab88da4b01a | Python | 2026-05-04T01:19:20.446381 | import torch
import torch.nn as nn
class CenterLoss(nn.Module):
"""Center loss.
Reference:
Wen et al. A Discriminative Feature Learning Approach for Deep Face Recognition. ECCV 2016.
Args:
num_classes (int): number of classes.
feat_dim (int): feature dimension.
"""
def... |
KaiyangZhou/pytorch-center-loss | https://github.com/KaiyangZhou/pytorch-center-loss | https://api.github.com/repos/KaiyangZhou/pytorch-center-loss | KaiyangZhou | pytorch-center-loss | Pytorch implementation of Center Loss | 995 | 217 | 995 | mit | master | 2018-03-21T16:12:01 | 2026-04-03T01:48:32 | [
"center-loss",
"computer-vision",
"deep-learning",
"feature-learning",
"loss-functions",
"python",
"pytorch"
] | {
"Python": 14841
} | false | 23 | datasets.py | datasets.py | .py | 1,332 | https://github.com/KaiyangZhou/pytorch-center-loss/blob/master/datasets.py | https://raw.githubusercontent.com/KaiyangZhou/pytorch-center-loss/master/datasets.py | 463d46b3ba6eb83c54ff3463730456c6b7ae9f6e | Python | 2026-05-04T01:19:21.759893 | import torch
import torchvision
from torch.utils.data import DataLoader
import transforms
class MNIST(object):
def __init__(self, batch_size, use_gpu, num_workers):
transform = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize((0.1307,), (0.3081,))
])
... |
KaiyangZhou/pytorch-center-loss | https://github.com/KaiyangZhou/pytorch-center-loss | https://api.github.com/repos/KaiyangZhou/pytorch-center-loss | KaiyangZhou | pytorch-center-loss | Pytorch implementation of Center Loss | 995 | 217 | 995 | mit | master | 2018-03-21T16:12:01 | 2026-04-03T01:48:32 | [
"center-loss",
"computer-vision",
"deep-learning",
"feature-learning",
"loss-functions",
"python",
"pytorch"
] | {
"Python": 14841
} | false | 23 | main.py | main.py | .py | 7,968 | https://github.com/KaiyangZhou/pytorch-center-loss/blob/master/main.py | https://raw.githubusercontent.com/KaiyangZhou/pytorch-center-loss/master/main.py | 267618c0f9de3b3676daec97f569946cf2565211 | Python | 2026-05-04T01:19:23.275060 | import os
import sys
import argparse
import datetime
import time
import os.path as osp
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt
import numpy as np
import torch
import torch.nn as nn
from torch.optim import lr_scheduler
import torch.backends.cudnn as cudnn
import datasets
import mod... |
KaiyangZhou/pytorch-center-loss | https://github.com/KaiyangZhou/pytorch-center-loss | https://api.github.com/repos/KaiyangZhou/pytorch-center-loss | KaiyangZhou | pytorch-center-loss | Pytorch implementation of Center Loss | 995 | 217 | 995 | mit | master | 2018-03-21T16:12:01 | 2026-04-03T01:48:32 | [
"center-loss",
"computer-vision",
"deep-learning",
"feature-learning",
"loss-functions",
"python",
"pytorch"
] | {
"Python": 14841
} | false | 23 | models.py | models.py | .py | 1,758 | https://github.com/KaiyangZhou/pytorch-center-loss/blob/master/models.py | https://raw.githubusercontent.com/KaiyangZhou/pytorch-center-loss/master/models.py | 7cd15be6a4b6092d9ab9a446b651c0de10de1a69 | Python | 2026-05-04T01:19:24.482135 | import torch
import torch.nn as nn
from torch.nn import functional as F
import math
class ConvNet(nn.Module):
"""LeNet++ as described in the Center Loss paper."""
def __init__(self, num_classes):
super(ConvNet, self).__init__()
self.conv1_1 = nn.Conv2d(1, 32, 5, stride=1, padding=2)
se... |
KaiyangZhou/pytorch-center-loss | https://github.com/KaiyangZhou/pytorch-center-loss | https://api.github.com/repos/KaiyangZhou/pytorch-center-loss | KaiyangZhou | pytorch-center-loss | Pytorch implementation of Center Loss | 995 | 217 | 995 | mit | master | 2018-03-21T16:12:01 | 2026-04-03T01:48:32 | [
"center-loss",
"computer-vision",
"deep-learning",
"feature-learning",
"loss-functions",
"python",
"pytorch"
] | {
"Python": 14841
} | false | 23 | transforms.py | transforms.py | .py | 200 | https://github.com/KaiyangZhou/pytorch-center-loss/blob/master/transforms.py | https://raw.githubusercontent.com/KaiyangZhou/pytorch-center-loss/master/transforms.py | 6e86b84496825be6f6ecb8eafc650d42eedbc45d | Python | 2026-05-04T01:19:25.967189 | from torchvision.transforms import *
from PIL import Image
class ToGray(object):
"""
Convert image from RGB to gray level.
"""
def __call__(self, img):
return img.convert('L') |
KaiyangZhou/pytorch-center-loss | https://github.com/KaiyangZhou/pytorch-center-loss | https://api.github.com/repos/KaiyangZhou/pytorch-center-loss | KaiyangZhou | pytorch-center-loss | Pytorch implementation of Center Loss | 995 | 217 | 995 | mit | master | 2018-03-21T16:12:01 | 2026-04-03T01:48:32 | [
"center-loss",
"computer-vision",
"deep-learning",
"feature-learning",
"loss-functions",
"python",
"pytorch"
] | {
"Python": 14841
} | false | 23 | utils.py | utils.py | .py | 1,964 | https://github.com/KaiyangZhou/pytorch-center-loss/blob/master/utils.py | https://raw.githubusercontent.com/KaiyangZhou/pytorch-center-loss/master/utils.py | 8dca95c919eb6be09f2922275b297bfacf116266 | Python | 2026-05-04T01:19:27.397538 | import os
import sys
import errno
import shutil
import os.path as osp
import torch
def mkdir_if_missing(directory):
if not osp.exists(directory):
try:
os.makedirs(directory)
except OSError as e:
if e.errno != errno.EEXIST:
raise
class AverageMeter(object):
... |
jithurjacob/Windows-10-Toast-Notifications | https://github.com/jithurjacob/Windows-10-Toast-Notifications | https://api.github.com/repos/jithurjacob/Windows-10-Toast-Notifications | jithurjacob | Windows-10-Toast-Notifications | Python library to display Windows 10 Toast Notifications | 994 | 167 | 994 | mit | master | 2015-12-08T08:17:04 | 2026-05-02T15:38:40 | [
"desktop-application",
"python",
"python-library",
"pywin32",
"win32",
"windows"
] | {
"Python": 7773
} | false | 75 | setup.py | setup.py | .py | 1,322 | https://github.com/jithurjacob/Windows-10-Toast-Notifications/blob/master/setup.py | https://raw.githubusercontent.com/jithurjacob/Windows-10-Toast-Notifications/master/setup.py | 8ead33e6ae7877134f26a4d4702e88ce56b9578e | Python | 2026-05-04T01:19:31.816473 |
from operator import attrgetter
from os import path
from pip.req import parse_requirements
from setuptools import setup
def read(fname):
return open(path.join(path.dirname(__file__), fname)).read()
def from_here(relative_path):
return path.join(path.dirname(__file__), relative_path)
requirements_txt = li... |
jithurjacob/Windows-10-Toast-Notifications | https://github.com/jithurjacob/Windows-10-Toast-Notifications | https://api.github.com/repos/jithurjacob/Windows-10-Toast-Notifications | jithurjacob | Windows-10-Toast-Notifications | Python library to display Windows 10 Toast Notifications | 994 | 167 | 994 | mit | master | 2015-12-08T08:17:04 | 2026-05-02T15:38:40 | [
"desktop-application",
"python",
"python-library",
"pywin32",
"win32",
"windows"
] | {
"Python": 7773
} | false | 75 | test/test.py | test.py | .py | 344 | https://github.com/jithurjacob/Windows-10-Toast-Notifications/blob/master/test/test.py | https://raw.githubusercontent.com/jithurjacob/Windows-10-Toast-Notifications/master/test/test.py | c75c47ff6122d7c96ebc25b299925c30ed1c843e | Python | 2026-05-04T01:19:33.023672 | from win10toast import ToastNotifier
if __name__ == "__main__":
# Example
toaster = ToastNotifier()
toaster.show_toast(
"Hello World!!!",
"Python is 10 seconds awsm!",
duration=10)
toaster.show_toast(
"Example two",
"Once you start coding in Python you'll hate ot... |
jithurjacob/Windows-10-Toast-Notifications | https://github.com/jithurjacob/Windows-10-Toast-Notifications | https://api.github.com/repos/jithurjacob/Windows-10-Toast-Notifications | jithurjacob | Windows-10-Toast-Notifications | Python library to display Windows 10 Toast Notifications | 994 | 167 | 994 | mit | master | 2015-12-08T08:17:04 | 2026-05-02T15:38:40 | [
"desktop-application",
"python",
"python-library",
"pywin32",
"win32",
"windows"
] | {
"Python": 7773
} | false | 75 | win10toast/__init__.py | __init__.py | .py | 5,439 | https://github.com/jithurjacob/Windows-10-Toast-Notifications/blob/master/win10toast/__init__.py | https://raw.githubusercontent.com/jithurjacob/Windows-10-Toast-Notifications/master/win10toast/__init__.py | 8ed1bc55131db7dd236e4dbb9efee1cf4878ea9a | Python | 2026-05-04T01:19:34.151946 | from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
__all__ = ['ToastNotifier']
# #############################################################################
# ########## Libraries #############
# ##################################
# standard library
... |
jithurjacob/Windows-10-Toast-Notifications | https://github.com/jithurjacob/Windows-10-Toast-Notifications | https://api.github.com/repos/jithurjacob/Windows-10-Toast-Notifications | jithurjacob | Windows-10-Toast-Notifications | Python library to display Windows 10 Toast Notifications | 994 | 167 | 994 | mit | master | 2015-12-08T08:17:04 | 2026-05-02T15:38:40 | [
"desktop-application",
"python",
"python-library",
"pywin32",
"win32",
"windows"
] | {
"Python": 7773
} | false | 75 | win10toast/__main__.py | __main__.py | .py | 668 | https://github.com/jithurjacob/Windows-10-Toast-Notifications/blob/master/win10toast/__main__.py | https://raw.githubusercontent.com/jithurjacob/Windows-10-Toast-Notifications/master/win10toast/__main__.py | a962b7a382ee3296ba33ec9df578c5b54ee28679 | Python | 2026-05-04T01:19:35.481625 | from win10toast import ToastNotifier
import time
# #############################################################################
# ###### Stand alone program ########
# ###################################
if __name__ == "__main__":
# Example
toaster = ToastNotifier()
toaster.show_toast(
"Hello Wor... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/__init__.py | __init__.py | .py | 1,465 | https://github.com/TypeError/secure/blob/main/secure/__init__.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/__init__.py | 9ce3631520eda7e3454ca6e332a7b07ba33e8c21 | Python | 2026-05-04T01:19:39.705405 | from secure.secure import (
COMMA_JOIN_OK,
DEFAULT_ALLOWED_HEADERS,
MULTI_OK,
Preset,
Secure,
)
from .headers.cache_control import CacheControl
from .headers.content_security_policy import ContentSecurityPolicy
from .headers.cross_origin_embedder_policy import CrossOriginEmbedderPolicy
from .header... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/_internal/configured_headers.py | configured_headers.py | .py | 4,278 | https://github.com/TypeError/secure/blob/main/secure/_internal/configured_headers.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/_internal/configured_headers.py | d8b0c4cbfce8180a6a0b792046d99c02cdc12a5c | Python | 2026-05-04T01:19:40.924707 | from __future__ import annotations
from types import MappingProxyType
from typing import TYPE_CHECKING, Any, TypeAlias, overload
from ..headers.base_header import BaseHeader
from ..headers.custom_header import CustomHeader
from .types import HeaderItems, HeaderPair
if TYPE_CHECKING:
from collections.abc import C... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/_internal/constants.py | constants.py | .py | 1,111 | https://github.com/TypeError/secure/blob/main/secure/_internal/constants.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/_internal/constants.py | 8bdb8ed3c8e0e99043dcb5a889e7701bbc196217 | Python | 2026-05-04T01:19:42.138031 | from __future__ import annotations
import re
# Headers that may appear multiple times as separate fields.
MULTI_OK: frozenset[str] = frozenset(
{
"content-security-policy",
}
)
# Headers where RFC7230-style comma merging is safe/expected.
COMMA_JOIN_OK: frozenset[str] = frozenset({"cache-control"})
... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/_internal/emit.py | emit.py | .py | 4,677 | https://github.com/TypeError/secure/blob/main/secure/_internal/emit.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/_internal/emit.py | 6369a95784ddd5a6eb26106ac35890d89cc407ce | Python | 2026-05-04T01:19:43.470131 | from __future__ import annotations
import inspect
from typing import TYPE_CHECKING, cast
if TYPE_CHECKING:
from collections.abc import Callable, MutableMapping
from .types import HeaderItems, ResponseProtocol
class HeaderSetError(RuntimeError):
"""Raised when applying a header to a response fails."""
... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/_internal/normalize.py | normalize.py | .py | 4,702 | https://github.com/TypeError/secure/blob/main/secure/_internal/normalize.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/_internal/normalize.py | ee239c86f54e3efed4b46d5d674d13d074ff7090 | Python | 2026-05-04T01:19:44.644091 | from __future__ import annotations
from dataclasses import dataclass
import logging
from types import MappingProxyType
from typing import TYPE_CHECKING
from .constants import HEADER_NAME_RE
if TYPE_CHECKING:
from collections.abc import Iterable, Mapping
from .types import OnInvalidPolicy
SPACE_CODEPOINT = ... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/_internal/policy.py | policy.py | .py | 5,617 | https://github.com/TypeError/secure/blob/main/secure/_internal/policy.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/_internal/policy.py | dbabd5a45f6cb5e0e6f09f1aead5e238b1883ddc | Python | 2026-05-04T01:19:45.930132 | from __future__ import annotations
from collections import defaultdict
import logging
from typing import TYPE_CHECKING
from ..headers.base_header import BaseHeader
from ..headers.custom_header import CustomHeader
if TYPE_CHECKING:
from collections.abc import Iterable
from .types import DeduplicateAction, On... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/_internal/presets.py | presets.py | .py | 4,178 | https://github.com/TypeError/secure/blob/main/secure/_internal/presets.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/_internal/presets.py | 80ab5660ec054b696473a33049c2a3c361ae2944 | Python | 2026-05-04T01:19:47.144004 | from __future__ import annotations
from enum import Enum
from ..headers import (
CacheControl,
ContentSecurityPolicy,
CrossOriginEmbedderPolicy,
CrossOriginOpenerPolicy,
CrossOriginResourcePolicy,
CustomHeader,
PermissionsPolicy,
ReferrerPolicy,
Server,
StrictTransportSecurity,... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/_internal/types.py | types.py | .py | 602 | https://github.com/TypeError/secure/blob/main/secure/_internal/types.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/_internal/types.py | 330301a795de8e52012be721fd946245a8f634a0 | Python | 2026-05-04T01:19:48.486511 | from __future__ import annotations
from typing import Literal, Protocol, TypeAlias
OnInvalidPolicy = Literal["drop", "warn", "raise"]
DeduplicateAction = Literal["raise", "first", "last", "concat"]
OnUnexpectedPolicy = Literal["raise", "drop", "warn"]
class HeadersProtocol(Protocol):
@property
def headers(s... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/__init__.py | __init__.py | .py | 1,194 | https://github.com/TypeError/secure/blob/main/secure/headers/__init__.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/__init__.py | 3ab20e2c9d50db0393e504b949209693c27429e7 | Python | 2026-05-04T01:19:49.820818 | from .base_header import BaseHeader
from .cache_control import CacheControl
from .content_security_policy import ContentSecurityPolicy
from .cross_origin_embedder_policy import CrossOriginEmbedderPolicy
from .cross_origin_opener_policy import CrossOriginOpenerPolicy
from .cross_origin_resource_policy import CrossOrigin... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/_validation.py | _validation.py | .py | 569 | https://github.com/TypeError/secure/blob/main/secure/headers/_validation.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/_validation.py | 2907b78f58e5cd67f1fec75ee4d876d79dfedc6b | Python | 2026-05-04T01:19:51.251520 | from __future__ import annotations
def normalize_header_value(value: str, *, what: str = "header value") -> str:
"""
Trim whitespace and reject CR/LF characters in header strings.
Args:
value: Raw header string.
what: Description of the value (used for error messages).
Returns:
... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/base_header.py | base_header.py | .py | 4,835 | https://github.com/TypeError/secure/blob/main/secure/headers/base_header.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/base_header.py | 01474f2951c93fcea65f2040778cfc937338b6ab | Python | 2026-05-04T01:19:52.584169 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Cache-Control
# https://owasp.org/www-project-secure-headers/#cache-control
from abc import abstractmethod
from dataclasses import dataclass
from enum... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/cache_control.py | cache_control.py | .py | 11,610 | https://github.com/TypeError/secure/blob/main/secure/headers/cache_control.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/cache_control.py | d7c849b0275629f941bd95d89206197bd6f020df | Python | 2026-05-04T01:19:54.119804 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/Cache-Control
# https://owasp.org/www-project-secure-headers/#cache-control
#
# Cache-Control by Mozilla Contributors is licensed under CC-BY... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/content_security_policy.py | content_security_policy.py | .py | 14,866 | https://github.com/TypeError/secure/blob/main/secure/headers/content_security_policy.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/content_security_policy.py | 96accbd619bd086f37a0082ad639ec2ee1dfa7e3 | Python | 2026-05-04T01:19:55.452395 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/Content-Security-Policy
# https://owasp.org/www-project-secure-headers/#content-security-policy
#
# Content-Security-Policy by Mozilla Contri... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/cross_origin_embedder_policy.py | cross_origin_embedder_policy.py | .py | 4,377 | https://github.com/TypeError/secure/blob/main/secure/headers/cross_origin_embedder_policy.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/cross_origin_embedder_policy.py | 8fe60cfae6e710f5d0320f9f69b3f2b316e75ae9 | Python | 2026-05-04T01:19:56.783615 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/Cross-Origin-Embedder-Policy
# https://owasp.org/www-project-secure-headers/#cross-origin-embedder-policy
#
# Cross-Origin-Embedder-Policy by... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/cross_origin_opener_policy.py | cross_origin_opener_policy.py | .py | 5,820 | https://github.com/TypeError/secure/blob/main/secure/headers/cross_origin_opener_policy.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/cross_origin_opener_policy.py | f1a3fa5900d439981b7d88cfa31209a3e72696d8 | Python | 2026-05-04T01:19:58.738170 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/Cross-Origin-Opener-Policy
# https://owasp.org/www-project-secure-headers/#cross-origin-opener-policy
#
# Cross-Origin-Opener-Policy by Mozil... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/cross_origin_resource_policy.py | cross_origin_resource_policy.py | .py | 4,233 | https://github.com/TypeError/secure/blob/main/secure/headers/cross_origin_resource_policy.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/cross_origin_resource_policy.py | e1cb96c26815e48eab56f8eb6f1c9efaaae4d926 | Python | 2026-05-04T01:19:59.971659 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/Cross-Origin-Resource-Policy
# https://owasp.org/www-project-secure-headers/#cross-origin-resource-policy
#
# Cross-Origin-Resource-Policy by... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/custom_header.py | custom_header.py | .py | 2,082 | https://github.com/TypeError/secure/blob/main/secure/headers/custom_header.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/custom_header.py | f3ee622b8e0f677af5ffef5502375c232a9f7fdd | Python | 2026-05-04T01:20:01.132842 | from __future__ import annotations # type: ignore
from dataclasses import dataclass, field
from secure.headers._validation import normalize_header_value
from secure.headers.base_header import BaseHeader
@dataclass
class CustomHeader(BaseHeader):
"""
Wrapper for an arbitrary HTTP header.
Default header... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/permissions_policy.py | permissions_policy.py | .py | 18,114 | https://github.com/TypeError/secure/blob/main/secure/headers/permissions_policy.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/permissions_policy.py | e65d67bb85e7fd9bb7a1977b3841975d982124b9 | Python | 2026-05-04T01:20:02.541642 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/Permissions-Policy
# https://owasp.org/www-project-secure-headers/#permissions-policy
#
# Permissions-Policy by Mozilla Contributors is licen... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/referrer_policy.py | referrer_policy.py | .py | 6,498 | https://github.com/TypeError/secure/blob/main/secure/headers/referrer_policy.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/referrer_policy.py | 3d33ca88c576a95b1cc5b053b69287a2bf6ef22b | Python | 2026-05-04T01:20:03.786790 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/Referrer-Policy
# https://owasp.org/www-project-secure-headers/#referrer-policy
#
# Referrer-Policy by Mozilla Contributors is licensed under... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/server.py | server.py | .py | 2,313 | https://github.com/TypeError/secure/blob/main/secure/headers/server.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/server.py | 9c8c87a89bda58fdc0590930fbc2e6b768701bf7 | Python | 2026-05-04T01:20:10.103479 | from __future__ import annotations # type: ignore
from dataclasses import dataclass, field
from secure.headers._validation import normalize_header_value
from secure.headers.base_header import BaseHeader, HeaderDefaultValue, HeaderName
@dataclass
class Server(BaseHeader):
"""
Builder for the ``Server`` HTTP... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/strict_transport_security.py | strict_transport_security.py | .py | 6,243 | https://github.com/TypeError/secure/blob/main/secure/headers/strict_transport_security.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/strict_transport_security.py | 3b4e3a191d2382ca704733d534203ee9b3eb9f27 | Python | 2026-05-04T01:20:11.630368 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/Strict-Transport-Security
# https://owasp.org/www-project-secure-headers/
#
# Strict-Transport-Security by Mozilla Contributors is licensed u... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/x_content_type_options.py | x_content_type_options.py | .py | 3,075 | https://github.com/TypeError/secure/blob/main/secure/headers/x_content_type_options.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/x_content_type_options.py | e8623756666d1ddb900f6908710c1fe86fb21248 | Python | 2026-05-04T01:20:12.974845 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/X-Content-Type-Options
# https://owasp.org/www-project-secure-headers/#x-content-type-options
#
# X-Content-Type-Options by Mozilla Contributors is lic... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/x_dns_prefetch_control.py | x_dns_prefetch_control.py | .py | 3,782 | https://github.com/TypeError/secure/blob/main/secure/headers/x_dns_prefetch_control.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/x_dns_prefetch_control.py | 3ecedaea0a84fd6bfb7b71ef2692b3960377a613 | Python | 2026-05-04T01:20:14.306628 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/X-DNS-Prefetch-Control
# https://owasp.org/www-project-secure-headers/#x-dns-prefetch-control
#
# X-DNS-Prefetch-Control by Mozilla Contribut... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/x_frame_options.py | x_frame_options.py | .py | 4,254 | https://github.com/TypeError/secure/blob/main/secure/headers/x_frame_options.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/x_frame_options.py | 3cac5dc302d8b4be99a59d883a358acbc0e97e69 | Python | 2026-05-04T01:20:15.586245 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/X-Frame-Options
# https://owasp.org/www-project-secure-headers/#x-frame-options
#
# X-Frame-Options by Mozilla Contributors is licensed under... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/headers/x_permitted_cross_domain_policies.py | x_permitted_cross_domain_policies.py | .py | 4,818 | https://github.com/TypeError/secure/blob/main/secure/headers/x_permitted_cross_domain_policies.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/headers/x_permitted_cross_domain_policies.py | 411ada82d4c4de7e1efaafc3a143c6248456d2ad | Python | 2026-05-04T01:20:17.178055 | # Security header recommendations and information from the MDN Web Docs and the OWASP Secure Headers Project
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/X-Permitted-Cross-Domain-Policies
# https://owasp.org/www-project-secure-headers/#x-permitted-cross-domain-policies
#
# X-Permitted-Cross-Dom... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/middleware/__init__.py | __init__.py | .py | 185 | https://github.com/TypeError/secure/blob/main/secure/middleware/__init__.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/middleware/__init__.py | 3d8dce7105252206ff757f6be903443107dc5e07 | Python | 2026-05-04T01:20:18.501203 | from __future__ import annotations
from .asgi import SecureASGIMiddleware
from .wsgi import SecureWSGIMiddleware
__all__ = [
"SecureASGIMiddleware",
"SecureWSGIMiddleware",
]
|
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/middleware/asgi.py | asgi.py | .py | 5,768 | https://github.com/TypeError/secure/blob/main/secure/middleware/asgi.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/middleware/asgi.py | b228eaaebcae7421eef0a2fe0bf6df097a5015ab | Python | 2026-05-04T01:20:20.128957 | from __future__ import annotations
from collections.abc import Awaitable, Callable, Iterable, MutableMapping
from typing import Protocol, TypeAlias, cast
from ..secure import MULTI_OK, Secure
# ---------------------------------------------------------------------------
# ASGI typing aliases
# -----------------------... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/middleware/wsgi.py | wsgi.py | .py | 4,981 | https://github.com/TypeError/secure/blob/main/secure/middleware/wsgi.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/middleware/wsgi.py | 6e11e3082500037c1c2d61b278a5122eb37b6055 | Python | 2026-05-04T01:20:21.461988 | from __future__ import annotations
from collections.abc import Iterable
from types import TracebackType
from typing import Any, TypeAlias
from ..secure import MULTI_OK, Secure
# ---------------------------------------------------------------------------
# WSGI typing aliases
# ---------------------------------------... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | secure/secure.py | secure.py | .py | 18,123 | https://github.com/TypeError/secure/blob/main/secure/secure.py | https://raw.githubusercontent.com/TypeError/secure/main/secure/secure.py | cd1b86c2d237ccf017669159f15cf44841028f43 | Python | 2026-05-04T01:20:23.002667 | from __future__ import annotations
import logging
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from collections.abc import Iterable, Mapping
from ._internal.types import DeduplicateAction, HeaderItems, OnInvalidPolicy, OnUnexpectedPolicy, ResponseProtocol
from .headers import (
BaseHeader,
... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_cache_control.py | test_cache_control.py | .py | 1,317 | https://github.com/TypeError/secure/blob/main/tests/headers/test_cache_control.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_cache_control.py | 71c5aaa3540ad2a7ed37578f48bd149505f75ae4 | Python | 2026-05-04T01:20:24.227814 | import unittest
from secure.headers import CacheControl
class TestCacheControl(unittest.TestCase):
def test_default_cache_control(self):
"""Test default Cache-Control value (no-store, max-age=0)."""
cache_control = CacheControl()
self.assertEqual(cache_control.header_value, "no-store, max... |
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