sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
d7451de8427b45de4992e65f59a8c3be3273dfc33aa1a5a2c7094c7ed08eb15c | Python | 27,925 | 872 | #!/usr/bin/env python
# encoding: utf-8
"""
meshconvert.py
A script to convert between tetrahedral mesh formats.
Created by Bryan Klingner (stellar.b@overt.org) on 2006-12-07.
"""
from __future__ import print_function, absolute_import # NEED TO STAY AS TOP IMPORT
import sys
import getopt
import os
help_message = \
'... |
f09087fd964d5cbb31b844edfaa8d913336322d70a4ea3c5c75eda7a6e044ab5 | Python | 27,950 | 820 | # Copyright 2022 Google AI and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... |
2b4e82d4d32772c052230556b98f69d960e5d54a8c1164f1716bd1e25fa3148d | Python | 27,973 | 647 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/higgs_audio_v2_tokenizer/modular_higgs_audio_v2_tokenizer.py.
# Do NOT edit this file manually as any edits will ... |
d252b776d756f5f94618944916eb121bec6bc365f74d934b65d1fc1893904c68 | Python | 27,980 | 859 | """
RDA Spatial Localization Viewer.
For each RDA segment (LRDA/GRDA) with W05 frequency estimates:
1. Load 19-channel monopolar EEG (200 Hz)
2. Bandpass filter 0.5-20 Hz for EEG display
3. Compute narrowband filter at freq +/- 0.4 Hz
4. Per-channel amplitude envelope via Hilbert -> 19-element vector
5. Comp... |
6452a0e325c6ac5f20318f6a44dd80fe1eef37c74e41036158803761687fde5c | Python | 28,029 | 231 | from Utils.Results_variables import *
from Utils.Settings import Adapt_for_Nature_style
from Utils.Utils import Naturize_text
results = {"Distance explains most of the ripple strength correlation variability.":
f"We studied ripple propagation along the hippocampal longitudinal axis in" \
" an ... |
5af598e345980e9385a6eceff432330db62addba843bc8c8107f443502c157b8 | Python | 28,030 | 666 | import gc
import logging
import os
import array_readwriter
import constants
import numpy as np
import pyarrow
import pyarrow.parquet as pq
import torch
import torch.distributed as dist
from gloo_wrapper import alltoallv_cpu
from utils import (
DATA_TYPE_ID,
generate_read_list,
get_gid_offsets,
get_idr... |
ad8b09e43af9e2464e650dcf171319fda0d53917c0f17a0bd470ca7631ad447c | Python | 28,077 | 723 | """
Core OpenBCI object for handling connections and samples from the WiFi Shield
Note that the LIB will take care on its own to print incoming ASCII messages if any (FIXME, BTW).
EXAMPLE USE:
def handle_sample(sample):
print(sample.channels_data)
wifi = OpenBCIWifi()
wifi.start(handle_sample)
TODO: Cyton/Gangli... |
35ddc90455d27393c9de68d0fe366f27a74588573b803400f78f362eee3a848c | Python | 28,101 | 923 | import backend as F
import dgl
import dgl.function as fn
import dgl.nn.mxnet as nn
import mxnet as mx
import networkx as nx
import numpy as np
import pytest
import scipy as sp
from mxnet import autograd, gluon, nd
from utils import parametrize_idtype
from utils.graph_cases import (
get_cases,
random_bipartite,... |
2bad378e39807bcfe1ee5ef5f05fccbddb9796e23857d00aed39e779b4d54d18 | Python | 28,115 | 657 | import os
import numpy as np
import random
import cv2
import re
import itertools
from dataParameters import *
# Versioning specific utils
import pkg_resources as pkgs
from packaging import version as pkg_version
from platform import python_version
tfversion = pkg_version.parse(pkgs.get_distribution('tensorflow').versi... |
db4519174af9c0eb8626ab86cd3151fcf53f236b387778e623087be4ee026b69 | Python | 28,116 | 906 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
iamp = 0.5
def reldiffs(fother,f1,iother,i1):
iout = []
rdout = []
N1 = len(f1)
Nother = len(fother)
for i in range(Nother):
ithis = iother[i]
for j in range(N1):
iba... |
61f699390f459980ae0e4eafa0a9f6bc92c53b0ba695d902e332f5297508d15f | Python | 28,124 | 936 | """Provide tests for SQLite storage interface."""
# Authors: Federico Raimondo <f.raimondo@fz-juelich.de>
# Synchon Mandal <s.mandal@fz-juelich.de>
# License: AGPL
from pathlib import Path
import numpy as np
import pandas as pd
import pytest
from numpy.testing import assert_array_equal
from pandas.testing i... |
ec19979c8b45c49753f1b0ee3b6ac9087a4385da3e3283e8f2aaeee92e3c1616 | Python | 28,195 | 570 | from sklearn.preprocessing import OneHotEncoder
from collections import Iterable
from utils.dbms_utils import DBMSUtils
import logging
import random
class OneHotEncoderSQL(object):
"""
This class implements the SQL wrapper for a Sklearn OneHotEncoder object.
"""
def __init__(self):
self.param... |
f7c9a049a21bdb874aad762985afe11dfa9e47271216555da1bf805ef0730554 | Python | 28,202 | 734 | #!/usr/bin/env python3
"""
Check HeuDiConv DICOM info files for completeness.
"""
from pathlib import Path
from typing import List, Dict, Optional, Set, Tuple
from dataclasses import dataclass, field
from collections import defaultdict
import csv
import re
import typer
from rich.console import Console
from rich.table ... |
3806fbc8360ff19059e5e308ee4b51eb67dae4bb02b432f67f9c9f8ce3fad79f | Python | 28,218 | 679 | """
========
Projects
========
"""
import os
import re
import sys
import json
import pickle
import shutil
from typing import TypeVar
from PySide6.QtGui import QIcon
from PySide6.QtCore import Qt, QSize, QTimer
from PySide6.QtWidgets import QListWidgetItem, QTreeWidgetItem, QDialogButtonBox, QWidget
from PySide6.QtUiT... |
58d40929513e87fdbc7f56a8a87d2f80c50e601e953a949894a7d55967098bfa | Python | 28,231 | 854 | """Train Faster-RCNN end to end."""
import argparse
import os
# disable autotune
os.environ["MXNET_CUDNN_AUTOTUNE_DEFAULT"] = "0"
import logging
import time
import gluoncv as gcv
import mxnet as mx
import numpy as np
from data import *
from gluoncv import data as gdata, utils as gutils
from gluoncv.data.batchify impo... |
cbf00607af278e43674678ecbad5f816785da924af6f70bc950669dab2c85ca8 | Python | 28,275 | 760 | """
Generate HTML viewer for reviewing HPP-detected discharge times.
Binary review: MW marks each case as Correct (C) or Incorrect (I).
Generates EEG images with discharge timing markers overlaid.
Usage:
conda run -n foe python code/label_pipeline/generate_timing_review_viewer.py
"""
import sys, json, base64, io... |
21f58a18b064d9f06f6bb350ee188945f014ec084808a29d04dcb8b11faa8e65 | Python | 28,348 | 946 | """ANTs' utilities."""
import os
from warnings import warn
from ..base import traits, Tuple, isdefined, TraitedSpec, File, Str, InputMultiObject
from ..mixins import CopyHeaderInterface
from .base import ANTSCommandInputSpec, ANTSCommand
class ImageMathInputSpec(ANTSCommandInputSpec):
dimension = traits.Int(
... |
4a1d5748c5376d5d62b56db2c9fd6631915498a04c5afd858191402f402dc0ca | Python | 28,378 | 669 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/afmoe/modular_afmoe.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
# ... |
191a06d660e974dde122d3e9197e3c9a30e0b0fac877b56a43ee397e3c4bd54f | Python | 28,387 | 652 | #!/usr/bin/env python
## Program: VMTK
## Module: $RCSfile: vmtkmeshclipcenterlines.py,v $
## Language: Python
## Date: $$
## Version: $$
## Copyright (c) Luca Antiga, David Steinman. All rights reserved.
## See LICENSE file for details.
## This software is distributed WITHOUT ANY WARRANTY; wit... |
eb3c5d038921099af6c0be0470356df94d4af440060e5a6a3111dd85f863904b | Python | 28,409 | 623 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/exaone_moe/modular_exaone_moe.py.
# Do NOT edit this file manually as any edits will be overwritten by the genera... |
8c807b695c6d3835b5035703d6def4a45dfa6296a2b35583064be5f937ee32ec | Python | 28,444 | 654 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/deepseek_v2/modular_deepseek_v2.py.
# Do NOT edit this file manually as any edits will be overwritten by the gene... |
7f28a5e78d8784d9a183ee4428c93be4606dad452035aed2d90177043ddabae5 | Python | 28,499 | 632 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/granite_speech5/modular_granite_speech5.py.
# Do NOT edit this file manually as any edits will be overwritten by ... |
822f7795ac5b12b2592842b455a767522dff6b27ec86be377bf942c30f69d05b | Python | 28,511 | 649 | import re
import os
import imgui
import glfw
from os.path import basename
from tkinter.filedialog import askopenfilename, askdirectory
from .._renderer import CapturedException
from ..gui import imgui_utils
from ..utils import EasyDict, LEFT_MOUSE_BUTTON, RIGHT_MOUSE_BUTTON
import slideflow as sf
#------------------... |
6edd380da3b0c657fc77cd81c9dc06abe1880a509bd6767dc231b5dd1b112b01 | Python | 28,521 | 785 | #!/usr/bin/env python3
"""Own the single per-user SimpleMind Explorer development server.
The public ``start`` command launches a detached supervisor, transfers the
per-user advisory lock to it, verifies page and BB-targeted run health, and
then exits. The supervisor owns Next.js and the state record until an explicit... |
bfdf3959a435b1518c157664a58bd9c848c0da20edc13bc94bedd0c1e2ba42a6 | Python | 28,527 | 707 | """
Experiment R5: Advanced ensemble methods, stacking, and LPD-specific deep dive.
The LPD gap is our main challenge (algorithm rs=0.425 vs expert 0.53).
This experiment tries aggressive LPD-targeted approaches.
Approaches:
a) r5_stacked_ridge: Two-level stacking with 3 ridge models
b) r5_lpd_aggressive: Max of ... |
1473798d1f3e32dd52461c8ef2919a479131552c84e4090f23e32376fc305677 | Python | 28,536 | 815 | """
==========
Cyton Base
==========
"""
import re
import time
import logging
import pickle
from threading import Thread
from datetime import datetime
from functools import cached_property
from abc import ABCMeta, abstractmethod
from multiprocessing import Process, Manager
from typing import Optional, Union, Literal, ... |
722b8d0573bd711be51bee4f304efe43893ab38f845371db71574297c80932d9 | Python | 28,553 | 747 | """Node embedding optimizers for distributed training"""
import abc
import warnings
from abc import abstractmethod
from os.path import exists
import torch as th
import dgl
from .... import backend as F
from ...dist_tensor import DistTensor
from ...graph_partition_book import EDGE_PART_POLICY, NODE_PART_POLICY
from .... |
914f2b00a1f60fe73eea8cb9eb29d2e49928d8c2cd573ff7ae22babbdaf37e98 | Python | 28,561 | 772 | """
===========
Connections
===========
"""
import sys
import os
import json
import time
import types
import pickle
import shutil
import logging
import requests
from openbci_stream.acquisition import (
Cyton,
CytonBase,
wifi,
restart_services,
)
from PySide6.QtCore import Qt, Signal, QThread, Slot, QT... |
2fc095b489dd7bbe9e2b8e9792c45bd736b99b7c8cffb774f8e14131b5d891c3 | Python | 28,592 | 657 | # Viz functions
"""
miscelallaneous functions and classes to visualize simulation data
"""
"""
Importage
"""
from scipy.io import loadmat
# Suppress warnings; keeps things cleaner
import warnings
warnings.filterwarnings('ignore')
# Standard scientific python import commands
import os,sys,glob,numpy as np,pandas as... |
bf52a2c235bcd2e16f762314dae5c7ccea62729815b9869e6e5c2e1260e646eb | Python | 28,652 | 830 | from django.http import HttpResponse, FileResponse, Http404
from django.core.files import File
from rest_framework import status
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.parsers import FileUploadParser, MultiPartParser, FormParser
import os
import json... |
ec5d773aa2322dccb440ec97101ce14f807656158821fcb523ea4bb6e95cea8a | Python | 28,673 | 642 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/granitemoe/modular_granitemoe.py.
# Do NOT edit this file manually as any edits will be overwritten by the genera... |
22a4bd730f6721864670aff6957a3d6c3a6fa1d5ab94ef83ba10770b6b08076c | Python | 28,689 | 687 | #!/usr/bin/env python
## Program: VMTK
## Module: $RCSfile: vmtktetringenerator.py,v $
## Language: Python
## Date: $Date: 2006/07/27 08:27:40 $
## Version: $Revision: 1.14 $
## Copyright (c) Luca Antiga, David Steinman. All rights reserved.
## See LICENSE file for details.
## This software is ... |
280b7bdf8b1a9967f2a4f2383c95f1085c1f1382d9310f0b8c3fb0f62dc10314 | Python | 28,691 | 953 | """Cora, citeseer, pubmed dataset.
(lingfan): following dataset loading and preprocessing code from tkipf/gcn
https://github.com/tkipf/gcn/blob/master/gcn/utils.py
"""
from __future__ import absolute_import
import os, sys
import pickle as pkl
import warnings
import networkx as nx
import numpy as np
import scipy.sp... |
813d35020cac8bfd07cc0790d56b260e599fba52a52209eb1419a97cc7a08379 | Python | 28,735 | 918 | """
Modeling Relational Data with Graph Convolutional Networks
Paper: https://arxiv.org/abs/1703.06103
Code: https://github.com/tkipf/relational-gcn
Difference compared to tkipf/relation-gcn
* l2norm applied to all weights
* remove nodes that won't be touched
"""
import argparse
import gc, os
import itertools
import t... |
3e2f5a926f507515cbf0d2269f5ad59472ca0cb216d510b06c4985bb011130dd | Python | 28,753 | 854 | import os
import unittest
from collections.abc import Iterator, Mapping
from functools import partial
import backend as F
import dgl
import dgl.ops as OPS
import numpy as np
import pytest
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from utils import parametrize_idtype
@pytest.ma... |
9f77c850161fd7c9eba6d4ba1b4f14179cb7779917ecf025aa3cdae3da9ef653 | Python | 28,799 | 704 | import imgui
import numpy as np
import slideflow as sf
import slideflow.grad as grad
from typing import Union, List, Optional, Tuple
from array import array
from collections import defaultdict
from slideflow.util import isnumeric
from ..utils import EasyDict, LEFT_MOUSE_BUTTON
from ..gui import imgui_utils
# --------... |
48eaee2d2b6476a01413ad62ed6a7b57f60eddc2d3c0df667dbd1d5b1a9dd636 | Python | 28,810 | 772 | """
Train a 1D CNN for channel-level PD detection with multi-task frequency estimation.
Uses 5-fold patient-stratified CV. Multi-task loss:
loss = BCE(pd_pred, pd_label) + alpha * MSE(freq_pred, log_freq_target) * pd_mask
Compares against logistic regression baseline (channel AUC 0.766, patient AUC 0.902).
"""
imp... |
953f0a8193a7096177a2f6a9f62bfa1244fa9acd360019935e109f09157fe4c9 | Python | 28,817 | 885 | """
HPP-Assisted Discharge Labeling Tool for Harvested Segments.
Semi-automated labeling: user clicks a frequency button (0.25-4.5 Hz),
HPP runs with that frequency as prior and shows inferred discharge times.
User can accept, adjust frequency, or manually add/delete markers.
The "cheating" HPP achieves Spearman >0.9... |
9899faf14ed735b5ca5daa79d4a011ff57c19f1599145c34aa7f542152c1f1a1 | Python | 28,928 | 820 | """
Reinhard normalization based on method of:
E. Reinhard, M. Adhikhmin, B. Gooch, and P. Shirley, ‘Color transfer between images’, IEEE Computer Graphics and Applications, vol. 21, no. 5, pp. 34–41, Sep. 2001.
"""
from typing import Tuple, Dict, Optional, Union
import torch
import numpy as np
from contextlib impor... |
64f74c2a48aaea23611b133876b3870daec9805864726e9a3756f0d85d9206fd | Python | 28,940 | 810 | #!/usr/bin/env python
from __future__ import print_function
import argparse
import collections
import uuid
import copy
import heapq
import json
import re
import sqlite3
import logging
import os
import numpy as np
import six
import neuroglancer
import neuroglancer.cli
debug_graph = False
verbose_merging = False
d... |
632b9060d7552b67fc21c246147d1479222552d82ac877af3de8cd8d6d1ae7c3 | Python | 28,966 | 656 | # Sumit Bam Shrestha 09/28/2020 5pm
# =================================
# This is a wrapper code that generates feedforward slayerSNN network from a
# network config file (*.yaml). This will also include modules to output a
# network description file (*.hdf5) OR SOME OTHER FORMAT (TO BE DECIDED) which
# will be direc... |
f6821b89653982192a21817019ad5bb5a8018d387b604524234750cb21fbb4e9 | Python | 28,987 | 688 | #!/usr/bin/env python
## Program: VMTK
## Module: $RCSfile: vmtkcenterlines.py,v $
## Language: Python
## Date: $Date: 2006/07/17 09:52:56 $
## Version: $Revision: 1.20 $
## Copyright (c) Luca Antiga, David Steinman. All rights reserved.
## See LICENSE file for details.
## This software is dist... |
41732b9c806f292a0c09d7a2f57e2627c64040a7a666867b6a7df20af66b4dca | Python | 28,995 | 640 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/cohere2_moe/modular_cohere2_moe.py.
# Do NOT edit this file manually as any edits will be overwritten by the gene... |
4dac38f94d20a64b8e666e4194f4a5adeae8aad74cda47b676ed1c51652dd8b9 | Python | 28,996 | 638 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/granite_speech_plus/modular_granite_speech_plus.py.
# Do NOT edit this file manually as any edits will be overwri... |
89bf7750ddc5e25642c09155165cd767cd240cb3ac441b24f5bf5bd0da0fc572 | Python | 28,996 | 766 | # repo originally forked from https://github.com/Confusezius/Deep-Metric-Learning-Baselines
################# LIBRARIES ###############################
import pickle
import warnings
from numpy.core.arrayprint import IntegerFormat
warnings.filterwarnings("ignore")
import copy
import os
import random
import numpy as... |
0ce60ce84eb93d644fc872c0792b7b7717cb7303b487d5b37b23cff317a62dce | Python | 29,015 | 887 | """Classes and functions for batching multiple graphs together."""
from __future__ import absolute_import
from . import backend as F
from .base import dgl_warning, DGLError
from .ops import segment
__all__ = [
"readout_nodes",
"readout_edges",
"sum_nodes",
"sum_edges",
"mean_nodes",
"mean_edge... |
35c1127b605cee1c683f1955020161d5981cb0d6d4944d59ff92a2188041d364 | Python | 29,017 | 665 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/flex_olmo/modular_flex_olmo.py.
# Do NOT edit this file manually as any edits will be overwritten by the generati... |
67ca9f62c958280c4ffd39851a638c8bfa535e4e24c51a999470e89b8e29fc8e | Python | 29,051 | 691 | # Copyright 2024 Descript and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... |
1454c47c7d0350ce39e6856e881deb1909acc2be7b6734eb99810ddacd6148ee | Python | 29,060 | 733 | import argparse
import os
import sys
from pathlib import Path
from bidsonym.defacing_algorithms import (run_pydeface, run_mri_deface,
run_mridefacer, run_quickshear,
run_deepdefacer, run_image_deface)
from bidsonym.utils import (check_o... |
da95fdba39b24d3452ea1249bf6612d7489279c36a5ed8869ab3402efd8a6fb9 | Python | 29,064 | 702 | # Copyright 2025 Mobile Perception Systems Lab at TU/e and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licens... |
ad21f4eded5a61872ae6b6d5637eb7842835441926e0009bd0b65c89f9cb95ce | Python | 29,128 | 927 | """
Modeling Relational Data with Graph Convolutional Networks
Paper: https://arxiv.org/abs/1703.06103
Code: https://github.com/tkipf/relational-gcn
Difference compared to tkipf/relation-gcn
* l2norm applied to all weights
* remove nodes that won't be touched
"""
import argparse
import gc, os
import itertools
import t... |
aa612ac3e0f0a0e0601341555fc5e3998d1a6b9e8b7f25f74ad794f8b8c682ca | Python | 29,131 | 737 | # Copyright 2025 Google Inc. HuggingFace Inc. team. All rights reserved.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... |
51ea453cfff799adf03a1011ed9d070ebd74b8e2f2c934ab6d6845ac92609db0 | Python | 29,137 | 625 | # Copyright 2024 HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
aa9cff60314557b61d32ffe282e2ab81ee3cc0af9b684d1ec2443b33640077f5 | Python | 29,152 | 643 | # Copyright 2024 the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... |
27ed7f8406e2653c775ef635139c61418d55de21d59cc07d675397bbddf5d5d5 | Python | 29,215 | 653 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/minimax_m2/modular_minimax_m2.py.
# Do NOT edit this file manually as any edits will be overwritten by the genera... |
cecbc348992fe6119a51ae15480e8fbb0cd91b27b7acd6198616b072e09679d6 | Python | 29,255 | 799 | """
Round 7: Within-segment candidate tracking with HMM-style decoding and comb-fit scoring.
KEY INSIGHT: Instead of picking one global frequency from a single FFT/ACF peak,
track frequency candidates across overlapping windows and decode the most consistent
frequency using HMM/Viterbi logic. This directly targets sub... |
fb16d369a26accf8ea1e6c34603b796aedbc1c402a36c442a531327c283409f5 | Python | 29,256 | 691 | """
Layer definitions
"""
import sys
import tensorflow as tf
# ModuleNotFoundError is new in 3.6; older versions will throw SystemError
if sys.version_info < (3, 6):
ModuleNotFoundError = SystemError
try:
from . import initializers
except (ModuleNotFoundError, ImportError) as e:
import initializers
"""C... |
b3d1022f46265d2fc67e85077392b71a482f98203230c91afe39a29f1d2a2860 | Python | 29,267 | 1,144 | from __future__ import annotations
from gymnasium.envs.registration import register
from minigrid import minigrid_env, wrappers
from minigrid.core import roomgrid
from minigrid.core.world_object import Wall
from minigrid.envs.wfc.config import WFC_PRESETS, register_wfc_presets
__version__ = "3.2.0"
def register_mi... |
5fb72f8743089e42ce38f2d40268dba29a59389edd6a6b1388043fba00553f00 | Python | 29,297 | 709 | # Copyright 2020 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... |
0e165e69618a68b77f2780ebead717bb11b761ff07d3b35c6d6e6fad341d612c | Python | 29,345 | 772 | # Copyright 2026 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... |
b79dc5ed5ce79279344d76840dd7d2e7272c3346050e566912f4b4dd0796db4b | Python | 29,361 | 825 | """
Reinhard normalization based on method of:
E. Reinhard, M. Adhikhmin, B. Gooch, and P. Shirley, ‘Color transfer between images’, IEEE Computer Graphics and Applications, vol. 21, no. 5, pp. 34–41, Sep. 2001.
"""
from __future__ import division
import numpy as np
import tensorflow as tf
from typing import Tuple, ... |
d5be9bc2ca89896a028cf7b614118316ce777ecd7b08863e6be107d19178c070 | Python | 29,363 | 787 | """
Round 7: Multi-montage inputs + event-vs-background GED spatial filtering.
Key insight: We've been forcing everything into one longitudinal bipolar montage,
but experts use multiple views. Different montages capture different aspects of
epileptiform activity.
Creates 3 montage views from raw referential data:
a... |
b91e1703b587d8213954603fdb8fc1c24f6fca66a9ffd8dc238aedadd8be6607 | Python | 29,378 | 677 | # Copyright 2022 The HuggingFace Team The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... |
d65f3183fe84ff48250202365c001d8e774335be70db51e64443b00bda3dc7c5 | Python | 29,378 | 613 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 19 05:27:06 2022
@author: nelab
"""
import os
import wandb
import torch
import numpy as np
from easydict import EasyDict as edict
import uuid
import shutil
from torch import nn
import pytorch_lightning as pl
from pytorch_lightning.loggers.wandb im... |
deafd71b1a099ccc80f07adaab169a972ee1e51ff1eb6e7c944aefe137349e49 | Python | 29,443 | 672 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/gpt_oss/modular_gpt_oss.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation o... |
56b7b92bc2c4055f3d429d192426e46037bfea330df6a1b70b508b0a89cb2812 | Python | 29,455 | 800 | #!/usr/bin/env python3
# -----------------------------------------------------------------------------
# Copyright (c) Yongning Lei 2025-2026
# Apache-2.0 license
# -----------------------------------------------------------------------------
"""
transform_common.py
Shared helpers for the EPI vol2surf pipeline:
0... |
61cd4f9bb4c32e3e693c141b14cdf556a30f78e208c4d2b64f5d819d09ea8943 | Python | 29,486 | 878 | import unittest
import warnings
import backend as F
import pytest
import torch
from dgl.sparse import (
diag,
from_coo,
from_csc,
from_csr,
from_torch_sparse,
identity,
to_torch_sparse_coo,
to_torch_sparse_csc,
to_torch_sparse_csr,
val_like,
)
from .utils import (
rand_coo... |
6fa02b8d80bf2c03d7e6c2a1a724816994966ff8f23d44e290383c9dcd3ef0d9 | Python | 29,541 | 666 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/cohere_asr/modular_cohere_asr.py.
# Do NOT edit this file manually as any edits will be overwritten by the genera... |
8f4872a8c177b8538da697ab5a1c55da2fb398996f190b7294bd7f1d84fee2e2 | Python | 29,546 | 755 | """
HemiNet Variant Training Scripts — Experiments 1.2, 1.4, 1.5
Trains and evaluates three HemiNet variants using 5-fold patient-stratified CV:
- Exp 1.2: HemiNetB (Design B — Dilated Convolutions)
- Exp 1.4: HemiNetD (Design D — Neural Wrapper Around Existing Pipeline)
- Exp 1.5: HemiNetPretrained (Design A + ... |
a4c05667f795a746575c16c419479e18ef477ada9aed3228ba77274cd7b2c3ba | Python | 29,573 | 843 | """Provide test for parcel aggregation."""
# Authors: Federico Raimondo <f.raimondo@fz-juelich.de>
# Synchon Mandal <s.mandal@fz-juelich.de>
# License: AGPL
import warnings
from pathlib import Path
import nibabel as nib
import numpy as np
import pytest
from nilearn.image import math_img, new_img_like
from n... |
5816c5dcad136f31ff46830915c214d5fd5f1f3bc9646c7f42f6e1a88a232018 | Python | 29,586 | 807 | """Torch Module for SubgraphX"""
import math
import networkx as nx
import numpy as np
import torch
import torch.nn as nn
from .... import to_heterogeneous, to_homogeneous
from ....base import NID
from ....convert import to_networkx
from ....subgraph import node_subgraph
from ....transforms.functional import remove_no... |
215f31a421595fc3d12e47fdd0fe5f4a3268eccef28b6db14b78844a0b8e93da | Python | 29,598 | 646 | # Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... |
d61de2c65fc1bbe39bc066b98978d59c8d22d0ea1f8b8dbb6fd7cb361190e40b | Python | 29,610 | 885 | """
handle_reruns.py
----------------
Check and fix extra (rerun) BOLD acquisitions for the VOTCLOC experiment.
Background
----------
When a subject has poor performance during a run, an extra run is acquired at
the end of the session to compensate. The lab note records these in
``protocol_name`` with a format like::... |
1a92cfc1511a95968fc9e4a26b543a77baf3aeb4c9228549c45c82eb9ab0a78e | Python | 29,654 | 710 | #!/usr/bin/env python
# @license
# Copyright 2020 Google Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
d995bdb0d552f01c668a8972c03d2f9049145cfcf4502da490559d9bff1e4648 | Python | 29,660 | 706 | # coding=utf-8
# Copyright 2020 The SimCLR Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
638b4df5adbf50d16687830866d6a370d3e47b35549e9d0a6e6f69e38ae611ed | Python | 29,700 | 688 | # Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... |
009c79f99abe45c078a70bf0de97b88622a51a34f487dffd9b49465c19d9f3fd | Python | 29,739 | 679 | # Copyright 2023 Microsoft Research and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... |
0b276d5056d8280ee93c07f823aacda78d9e4a88b3a13581f833dce2b2dc3fbc | Python | 29,846 | 645 | # Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... |
cdce5bb54c1352a56ca081551d81393afbffbd66bf3ae4e0182351e2437af987 | Python | 29,874 | 704 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/dbrx/modular_dbrx.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
# ... |
4e246a55fbf87c4edf19d83a96e3370104c2511ac2876a90a27f338b5208aff2 | Python | 29,918 | 926 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 23 21:06:13 2020
@author: ide2704
Effective brain connectivity functions
Ivan De La Pava Panche, Automatics Research Group
Universidad Tecnologica de Pereira, Pereira - Colombia
email: ide@utp.edu.co
"""
# Import the necessary libraries
import numpy as ... |
35f133091b64d147a459bdddfc015efbd629708b4cfbac19f51a0c6c8ab0951b | Python | 29,984 | 921 | """
Generate interactive HTML timing correction viewer for cases needing review.
Loads discharge_times.json and includes all cases where review_status
is NOT 'ground_truth' (i.e., auto-detected cases that haven't been manually
verified). MW can add, delete, and move discharge timing markers interactively.
EEG is rende... |
b603612ccc7c185e241d7c7d1b7124f60d523c77c18403ad3c5c9ee6cd459204 | Python | 29,986 | 828 | """
Train ChannelPDNetAttention with augmented data including 376 harvested
high-frequency LPD segments (>2.5 Hz) to improve frequency estimation
at the high end of the PD frequency spectrum.
Key differences from train_cnn_attention.py:
1. Loads 376 hi-freq harvested segments (bins 2.5-3.0, 3.0-3.5, 3.5+)
2. Uses ... |
c4bcf27a912ea90b3f70235609e2945591dc63a1bc62f7f8bcff53082ee0a771 | Python | 29,987 | 859 | # -----------------------------------------------------------------------------
# Copyright (c) Yongning Lei 2024
# All rights reserved.
#
# This script is distributed under the Apache-2.0 license.
# You may use, distribute, and modify this code under the terms of the Apache-2.0 license.
# See the LICENSE file for deta... |
a61da0eb15f0a72c3998fd14770b6864bdf68cc7d063fe3a6236933f0b4e26ba | Python | 29,996 | 819 | # Copyright 2021 The I-BERT Authors (Sehoon Kim, Amir Gholami, Zhewei Yao,
# Michael Mahoney, Kurt Keutzer - UC Berkeley) and The HuggingFace Inc. team.
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except ... |
a6b14258015ef89ed21abae491c5bc54e1e14a9bc0a5503f859045f356956f23 | Python | 30,052 | 725 | # Copyright 2025 Jingze Shi and the HuggingFace Inc. team. All rights reserved.
#
# The Doge family of small language models is trained by SmallDoge Team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the... |
7c2d213bb68289a299cd7fa1dc11e445ef4479aec7465764dfb682c157cd03f5 | Python | 30,074 | 765 | """
HPP-Assisted BIPD Discharge Labeling Tool.
Like the LPD labeler but with separate timing for left and right hemispheres.
Channels reordered: left lateral + left parasagittal | right lateral + right parasagittal | midline.
Two sets of frequency buttons and markers (red=left, blue=right).
Usage:
conda run -n fo... |
259d04a85176b87f61348a7717db2190046db23ed43d341aef772ea6034d466f | Python | 30,077 | 697 | # Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... |
7a77e049b940f7fecddb383f1e76ca75ba95c34a8d6231d0d8d324bab35c2c83 | Python | 30,090 | 706 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/lfm2_moe/modular_lfm2_moe.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation... |
c18962afa58e09380ac6bbc15a8211f737f90b759ed189d812f2532e0f99780d | Python | 30,128 | 858 | import unittest
import backend as F
import dgl
import networkx as nx
import numpy as np
import pytest
import scipy.sparse as ssp
from utils import parametrize_idtype
D = 5
def generate_graph(grad=False, add_data=True):
g = dgl.graph([]).to(F.ctx())
g.add_nodes(10)
# create a graph where 0 is the source... |
7c050b6e80a16316fad0103474399dd4f51a8dda1836fb2a6d74a277e1119574 | Python | 30,241 | 806 | #!/usr/bin/env python3
"""
Check DICOM file counts in raw data directories.
"""
from pathlib import Path
from typing import List, Dict, Tuple, Optional, Set
from collections import defaultdict, Counter
from concurrent.futures import ProcessPoolExecutor, as_completed
import re
import csv
import sys
import typer
from ri... |
5e8bbfa7c9ba1d4772dc50d8da18e5b4686d9a459c08e9a770d1da4ac2b36df8 | Python | 30,291 | 644 | import torch
from torch import nn
import torch.nn.functional as F
from torch_scatter import scatter
from torch_geometric.utils import degree
from e3nn.o3 import Irrep, Irreps, wigner_3j, matrix_to_angles, Linear, FullyConnectedTensorProduct, TensorProduct, SphericalHarmonics
from e3nn.nn import Extract
from .utils imp... |
a7300d24660d9482500d3f632661f476341842d3ec5c6f59ba0a2948fab4e692 | Python | 30,294 | 686 | # Copyright 2025 Deepseek AI and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... |
4a26efa031d415e891e75b3984d288556abcde8079d06a81e45f103df028de07 | Python | 30,312 | 689 | #!/usr/bin/env python
## Program: PypeS
## Module: $RCSfile: pypescript.py,v $
## Language: Python
## Date: $Date: 2006/05/26 12:36:30 $
## Version: $Revision: 1.18 $
## Copyright (c) Luca Antiga, David Steinman. All rights reserved.
## See LICENSE file for details.
## This software is distribu... |
ad6182dcca65ac63a9b3596229415f01b23445555cd9ad50b65b28b165dd64df | Python | 30,370 | 780 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/aimv2/modular_aimv2.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
# ... |
30bfcf6b6c3e88d20f8a0a5048ed0ef8f3a35a6a04c5cd0359abd058bfb7f970 | Python | 30,371 | 856 | """API for julearn."""
# Authors: Federico Raimondo <f.raimondo@fz-juelich.de>
# Sami Hamdan <s.hamdan@fz-juelich.de>
# License: AGPL
import inspect
import numpy as np
import pandas as pd
import sklearn
from joblib.parallel import get_active_backend
from sklearn.base import BaseEstimator
from sklearn.model_... |
4cef573a3a93afe76be3e76fed740e27da9c4439966a8c2468a12c7e576b47cf | Python | 30,389 | 932 | """
check_bids_counts_vs_labnote.py
--------------------------------
Compare BIDS acquisition counts and anchor times against the lab-note Excel
WITHOUT relying on the per-row timing in the lab note.
Strategy
--------
Instead of matching individual lab-note rows to BIDS files (unreliable due to
operator timing entries... |
0893b47454bdb7345aa4b8e2353fc8a812aeb1a74343af3e0d9e70a69fdf45b3 | Python | 30,436 | 753 | """
Functions to organize the data and plot
"""
import os
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
from scipy.spatial.distance import jensenshannon
from sklearn.metrics import pairwise_distances
from sklearn.cluster import AgglomerativeClustering
import scipy.clu... |
65e79851276d1464cee9301ebe10a6ebb48e443b711a27262b2258b4a3d798fc | Python | 30,446 | 650 | import torch
from torch import nn
import torch.nn.functional as F
from torch_scatter import scatter
from torch_geometric.utils import degree
from e3nn.o3 import Irrep, Irreps, wigner_3j, matrix_to_angles, Linear, FullyConnectedTensorProduct, TensorProduct, SphericalHarmonics
from e3nn.nn import Extract
from e3nn.util.... |
09c908810a37789e410a2bc7939556bb439e419c052d7130bc41eb7fbd588e09 | Python | 30,457 | 726 | ### This script could run hybrid MLP-GNN models sweeping over layer connections : (-2,-2), (-2,-3) and (-2,-4). The current setting is for (-2,-4) layer connections.
# Importing necessary packages
import time
start_time = time.time()
from openbabel import pybel
import networkx as nx
import pandas as pd
imp... |
e9c22e9359b6b91d6a2f9f08e4cc4533e23d72047775d630e25dc012a456dfdc | Python | 30,477 | 786 | # Copyright 2022 SHI Labs and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... |
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