repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
bandontseng/poseGuidedImgGeneration | [
"f3eb72c7f5f267e15cb73edc55d6a74a25a763ee"
] | [
"read_keypoint.py"
] | [
"import keras\nfrom keras.models import Sequential\nfrom keras.models import Model\nfrom keras.layers import Input, Dense, Activation, Lambda\nfrom keras.layers.convolutional import Conv2D\nfrom keras.layers.pooling import MaxPooling2D\nfrom keras.layers.normalization import BatchNormalization\nfrom keras.layers.me... | [
[
"numpy.zeros",
"scipy.ndimage.filters.gaussian_filter",
"numpy.nonzero",
"numpy.float32",
"numpy.logical_and.reduce",
"numpy.squeeze"
]
] |
joshwalawender/IQMon | [
"d6b7df9f489b94a197e4faeb53785f3f30d248df"
] | [
"iqmon/primitives/image_reduction.py"
] | [
"from pathlib import Path\nfrom datetime import datetime, timedelta\n\nimport numpy as np\nfrom astropy import units as u\nfrom astropy import stats\nfrom astropy.time import Time\nfrom astropy.nddata import CCDData\nimport ccdproc\n\n\nfrom keckdrpframework.primitives.base_primitive import BasePrimitive\n\nfrom .u... | [
[
"numpy.all"
]
] |
tupui/batman | [
"559e1c4574865694e47f52bb202c560fc6252d2d",
"559e1c4574865694e47f52bb202c560fc6252d2d",
"559e1c4574865694e47f52bb202c560fc6252d2d"
] | [
"test_cases/Mascaret/test_Convergence_PC.py",
"test_cases/Mascaret/data/function.py",
"test_cases/Mascaret/test_data_quad.py"
] | [
"import matplotlib.pyplot as plt\nimport batman\nimport numpy as np\nfrom TelApy.tools.studyMASC_UQ import MascaretStudy\nfrom batman.space import (Space, dists_to_ot)\nfrom batman.uq import UQ\nfrom batman.visualization import Kiviat3D, HdrBoxplot, response_surface, Tree\nfrom batman.surrogate import SurrogateMode... | [
[
"numpy.array",
"numpy.zeros",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.title",
"matplotlib.pyplot.legend",
"numpy.shape",
"matplotlib.pyplot.figure",
"matplotlib.pyplot.semilogy",
"matplotlib.pyplot.ylabel"
... |
xwu99/OAP | [
"6090971f8d63961d6a29b850510b5e779821939b"
] | [
"oap-native-sql/tools/process.py"
] | [
"#!/usr/bin/python\n\nimport sys\nimport pprint\nimport re\nimport traceback\nimport copy\nfrom collections import OrderedDict\nimport numpy as np\nimport collections\n\ndef process(input):\n try:\n return int(input)\n except:\n try:\n return float(input)\n except:\n ... | [
[
"numpy.isnan"
]
] |
fountain111/Algorithm- | [
"e4a42d3fc79d263af2a7e76faa796a16fe2b0850"
] | [
"sort.py"
] | [
"import numpy as np\nfrom flask import Flask\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport io\nimport base64\nfrom flask import render_template\nimport sys\nfrom flask import make_response\nimport math\napp = Flask(__name__)\nplt.switch_backend('agg') # solve main loop\nclass So... | [
[
"matplotlib.pyplot.switch_backend",
"numpy.array",
"numpy.matrix",
"numpy.dot",
"numpy.zeros",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.title",
"matplotlib.pyplot.figure",
"numpy.arange",
"matplotlib.pyplo... |
anhtu293/parnet-tf2 | [
"bdde9112ca8851f0962a246207e1d8f7db4a9ec6"
] | [
"src/layers.py"
] | [
"import tensorflow as tf\nfrom tensorflow.keras import layers, activations\n\n\nclass Shuffle(layers.Layer):\n def __init__(self, **kwargs):\n super(Shuffle, self).__init__(**kwargs)\n\n def call(self, x):\n c_idx = tf.range(0, tf.shape(x)[-1])\n c_idx = tf.random.shuffle(c_idx)\n ... | [
[
"tensorflow.keras.layers.Add",
"tensorflow.shape",
"tensorflow.keras.layers.AveragePooling2D",
"tensorflow.keras.layers.Activation",
"tensorflow.keras.layers.Concatenate",
"tensorflow.keras.layers.Conv2D",
"tensorflow.keras.layers.GlobalAveragePooling2D",
"tensorflow.gather",
"... |
tanujdhiman/scikit-learn | [
"1cd282d600088d2547d827af72a99e036106417a"
] | [
"sklearn/decomposition/_dict_learning.py"
] | [
"\"\"\" Dictionary learning.\n\"\"\"\n# Author: Vlad Niculae, Gael Varoquaux, Alexandre Gramfort\n# License: BSD 3 clause\n\nimport time\nimport sys\nimport itertools\nimport warnings\n\nfrom math import ceil\n\nimport numpy as np\nfrom scipy import linalg\nfrom joblib import Parallel, effective_n_jobs\n\nfrom ..ba... | [
[
"numpy.array",
"numpy.dot",
"numpy.empty",
"numpy.zeros",
"numpy.minimum",
"numpy.sum",
"scipy.linalg.svd",
"numpy.asfortranarray",
"numpy.seterr",
"numpy.sign",
"numpy.require",
"numpy.abs",
"numpy.clip",
"scipy.linalg.norm",
"numpy.maximum"
]
] |
gp201/transformers | [
"89f2781e87e92b04303f7f128107718e44e755ed"
] | [
"src/transformers/modeling_gpt2.py"
] | [
"# coding=utf-8\n# Copyright 2018 The OpenAI Team Authors and HuggingFace Inc. team.\n# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy o... | [
[
"torch.nn.Linear",
"torch.nn.Dropout",
"torch.cat",
"torch.nn.LayerNorm",
"torch.nn.MSELoss",
"torch.nn.Softmax",
"torch.arange",
"tensorflow.train.load_variable",
"torch.nn.CrossEntropyLoss",
"torch.ne",
"torch.from_numpy",
"tensorflow.train.list_variables",
"t... |
shibaji7/SolarEclipse | [
"673cefb49b44e60253327e89543aaf1fb61c23bc"
] | [
"code/utils.py"
] | [
"#!/usr/bin/env python\n\n\"\"\"utils.py: get utility functions.\"\"\"\n\n__author__ = \"Chakraborty, S.\"\n__copyright__ = \"Copyright 2020, SuperDARN@VT\"\n__credits__ = []\n__license__ = \"MIT\"\n__version__ = \"1.0\"\n__maintainer__ = \"Chakraborty, S.\"\n__email__ = \"shibaji7@vt.edu\"\n__status__ = \"Research... | [
[
"pandas.read_csv",
"numpy.isnan",
"numpy.meshgrid"
]
] |
ModelTC/EOD | [
"164bff80486e9ae6a095a97667b365c46ceabd86"
] | [
"up/tasks/det_3d/data/metrics/kitti_evaluator.py"
] | [
"# Standard Library\nimport builtins\nimport json\nimport copy\nimport numpy as np\n\n# Import from third library\nfrom up.utils.general.log_helper import default_logger as logger\nfrom up.utils.general.registry_factory import EVALUATOR_REGISTRY\nfrom up.data.metrics.base_evaluator import Evaluator\nfrom up.utils.g... | [
[
"numpy.array"
]
] |
ggorman/trytravis | [
"a624eb5710c9fa0f40af6843ba85f417290a05fe"
] | [
"devito/function.py"
] | [
"from collections import OrderedDict\nfrom functools import partial\n\nimport sympy\nimport numpy as np\nfrom psutil import virtual_memory\n\nfrom devito.cgen_utils import INT, cast_mapper\nfrom devito.data import Data, default_allocator, first_touch\nfrom devito.dimension import Dimension, DefaultDimension\nfrom d... | [
[
"numpy.dtype"
]
] |
chenlingantelope/scVI_TSP | [
"c89c35002205b1169a740da06ec691a3d4f4d405"
] | [
"scvi/inference/total_inference.py"
] | [
"from typing import Optional, Union, List, Callable\nimport logging\nimport torch\nfrom torch.distributions import Poisson, Gamma, Bernoulli, Normal\nfrom torch.utils.data import DataLoader\nimport numpy as np\nimport pandas as pd\nfrom scipy.stats import spearmanr\n\nfrom scvi.inference import Posterior\nfrom . im... | [
[
"torch.cat",
"torch.stack",
"torch.distributions.Bernoulli",
"torch.exp",
"torch.sum",
"numpy.concatenate",
"torch.sigmoid",
"torch.Size",
"numpy.log",
"pandas.DataFrame",
"numpy.transpose",
"torch.utils.data.DataLoader",
"torch.zeros_like",
"torch.nonzero",... |
mohammadakz/Nested_PPE_detection_FasterRCNN | [
"36555783fd5a6dfd51a76cf9e33bf1f1912eb44d"
] | [
"utils/visualization_utils.py"
] | [
"# Copyright 2017 The TensorFlow Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requ... | [
[
"numpy.ones_like",
"tensorflow.ones_like",
"numpy.sort",
"numpy.cumsum",
"numpy.histogram",
"numpy.uint8",
"tensorflow.shape",
"tensorflow.concat",
"numpy.logical_and",
"tensorflow.constant",
"tensorflow.squeeze",
"numpy.arange",
"matplotlib.use",
"numpy.arr... |
mahyar-osn/predict-algae-species | [
"d3a710572f66203b3964f49cba7e836b7cc1ba6f"
] | [
"src/predict-algae-species/core/config.py"
] | [
"\"\"\"\nA simple Configuration file for training and/or predicting algae cells.\n\"\"\"\n\nimport torch\nimport os\n\n\"\"\" base path of the dataset \"\"\"\nROOT = '/content/drive/MyDrive/algae-dataset'\n\n\"\"\" define the path to the tiles and annotations dataset \"\"\"\nIMAGE_DATASET_PATH = os.path.join(ROOT, ... | [
[
"torch.cuda.is_available"
]
] |
daboehme/heffte | [
"52e710d5fc727be9091697b7350824b95a82a76c"
] | [
"python/pyheffte_test_gpu.py"
] | [
"\nimport heffte\nimport numpy as np\nfrom numba import cuda as gpu\nimport mpi4py\n\ndef make_reference(num_entries, dtype, scale):\n reference = np.zeros((num_entries,), dtype)\n reference[0] = -512.0\n if scale == heffte.scale.symmetric:\n reference /= np.sqrt(float(2 * num_entries))\n elif sc... | [
[
"numpy.zeros"
]
] |
mruijzendaal/python_ann_three_body | [
"9380b0f7e4eaf7f481d8cdf34250e8475fe32a24"
] | [
"ann_three_body/main.py"
] | [
"import numpy as np\n\nimport physics\nimport storage\nimport learning\nimport visualization\nimport multiprocessing\nfrom itertools import repeat\nimport uuid\n\n# The dimensions of storage in this project are as follows:\n# Example: velocity\n# Dimension 0: storage. [v_x, v_y, vz]\n# Dime... | [
[
"numpy.random.seed"
]
] |
AIPHES/ecml-pkdd-2019-J3R-explainable-recommender | [
"e3de264bca9b7f4de1026527341ff519d8ab6856"
] | [
"model/MLPTopic.py"
] | [
"\nimport tensorflow as tf\n\nclass MLPTopic(object):\n def __init__(\n self, review_num_u, review_num_i, review_len_u, review_len_i, user_num, item_num, num_classes,\n user_vocab_size, item_vocab_size, n_latent, embedding_id, attention_size,\n embedding_size, filter_sizes, num_f... | [
[
"tensorflow.nn.conv2d",
"tensorflow.matmul",
"tensorflow.reshape",
"tensorflow.nn.embedding_lookup",
"tensorflow.nn.softmax",
"tensorflow.einsum",
"tensorflow.concat",
"tensorflow.subtract",
"tensorflow.random_uniform",
"tensorflow.constant",
"tensorflow.nn.bias_add",
... |
CaoZhongZ/training | [
"4a4d5a0b7efe99c680306b1940749211d4238a84"
] | [
"image_segmentation/pytorch/runtime/training.py"
] | [
"from tqdm import tqdm\n\nimport torch\nfrom torch.optim import Adam, SGD\nfrom torch.cuda.amp import autocast, GradScaler\n\nfrom runtime.distributed_utils import get_rank, reduce_tensor, get_world_size\nfrom runtime.inference import evaluate\nfrom runtime.logging import mllog_event, mllog_start, mllog_end, CONSTA... | [
[
"torch.cuda.amp.autocast",
"torch.optim.Adam",
"torch.optim.SGD",
"torch.nn.parallel.DistributedDataParallel",
"torch.optim.lr_scheduler.MultiStepLR",
"torch.cuda.amp.GradScaler"
]
] |
jmborr/ipdflex | [
"9537247c78373f740873703448d948e7a7ada9fb"
] | [
"tests/test_cnextend.py"
] | [
"import pytest\nimport numpy as np\nfrom numpy.testing import assert_array_equal\nfrom scipy.cluster import hierarchy\n\nfrom idpflex import cnextend as cnx\nfrom idpflex.properties import ScalarProperty\n\n\nclass TestClusterNodeX(object):\n\n def test_property(self):\n n = cnx.ClusterNodeX(0)\n n... | [
[
"numpy.array",
"numpy.testing.assert_array_equal",
"numpy.argmax"
]
] |
LLNL/DJINN | [
"3dd40a7f3bd179e1e51f7f7a9991faa457b9546a"
] | [
"djinn/djinn.py"
] | [
"###############################################################################\n# Copyright (c) 2018, Lawrence Livermore National Security, LLC.\n# \n# Produced at the Lawrence Livermore National Laboratory\n#\n# Written by K. Humbird (humbird1@llnl.gov), L. Peterson (peterson76@llnl.gov).\n#\n# LLNL-CODE-754815\... | [
[
"tensorflow.set_random_seed",
"numpy.array",
"numpy.percentile",
"tensorflow.train.import_meta_graph",
"tensorflow.reset_default_graph",
"tensorflow.Session",
"numpy.mean",
"tensorflow.disable_v2_behavior",
"sklearn.ensemble.RandomForestRegressor",
"sklearn.preprocessing.Mi... |
Jeremiah-England/Shapely | [
"769b203f2b7cbeeb0a694c21440b4025a563f807"
] | [
"docs/code/geometrycollection.py"
] | [
"from matplotlib import pyplot\nfrom shapely.geometry import LineString\nfrom figures import BLUE, GRAY, YELLOW, GREEN, SIZE, set_limits, plot_coords\n\nfig = pyplot.figure(1, figsize=SIZE, dpi=90) #1, figsize=(10, 4), dpi=180)\n\na = LineString([(0, 0), (1, 1), (1,2), (2,2)])\nb = LineString([(0, 0), (1, 1), (2,1)... | [
[
"matplotlib.pyplot.show",
"matplotlib.pyplot.figure"
]
] |
arimorcos/stn_motion_correct | [
"ffb344baaa4afc765953d4c29692659b65dc1d41"
] | [
"thin_spline_transformer.py"
] | [
"import lasagne\nimport theano\nimport theano.tensor as T\nimport numpy as np\n\n\nclass ThinSplineTransformerLayer(lasagne.layers.MergeLayer):\n \"\"\"\n Thin plate spline spatial transformer layer\n The layer applies an thin plate spline transformation [2] on the input.\n The transform is determined b... | [
[
"numpy.log",
"numpy.zeros",
"numpy.sqrt",
"numpy.linspace",
"numpy.linalg.inv"
]
] |
Emreayar6/SiemensHealthineers2020 | [
"46cf92ea5e6a140512a5c1c485c73d8c7a6a7f51"
] | [
"CarvisSampleCode.py"
] | [
"import cv2\r\nimport numpy as np\r\nimport pyautogui\r\nimport time\r\n\r\nwhile True:\r\n img = np.array(pyautogui.screenshot(region = (380, 300, 320, 220)))\r\n\r\n\r\n img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\r\n frame = img\r\n hsv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)\r\n\r\n # Yello... | [
[
"numpy.array",
"numpy.ones"
]
] |
Enpen/Hypernets | [
"5fbf01412ffaef310855d98f52f8cc169e96246b"
] | [
"hypernets/tests/tabular/tb_cuml/toolbox_test.py"
] | [
"# -*- coding:utf-8 -*-\n\"\"\"\n\n\"\"\"\n\nfrom hypernets.tabular import get_tool_box\nfrom hypernets.tabular.datasets import dsutils\nfrom . import if_cuml_ready, is_cuml_installed\n\nif is_cuml_installed:\n import cudf\n from hypernets.tabular.cuml_ex import CumlToolBox\n\n\n@if_cuml_ready\nclass TestCuml... | [
[
"sklearn.preprocessing.LabelEncoder"
]
] |
arnaudvl/alibi-detect | [
"573ef3be3435c834489a7b4f2d23e580c8a0a2a2"
] | [
"alibi_detect/utils/pytorch/prediction.py"
] | [
"from functools import partial\nimport numpy as np\nimport torch\nimport torch.nn as nn\nfrom typing import Callable, Union\nfrom alibi_detect.utils.prediction import tokenize_transformer\n\n\ndef predict_batch(x: Union[list, np.ndarray, torch.Tensor], model: Union[Callable, nn.Module, nn.Sequential],\n ... | [
[
"numpy.ceil",
"torch.cuda.is_available",
"torch.no_grad",
"torch.from_numpy"
]
] |
KfirCohen-PyLab/pyarbtools | [
"fbb933956d47c3453b39ddb50bf216d664ed540c"
] | [
"pyarbtools/pdwBuilder.py"
] | [
"\"\"\"\npdwBuilder\nAuthor: Morgan Allison, Keysight RF/uW Application Engineer\nPulse Descriptor Word building functions for Analog and Vector UXGs.\n\"\"\"\n\nimport math\nimport struct\nimport numpy as np\nfrom pyarbtools import error\n\n\ndef convert_to_floating_point(inputVal, exponentOffset, mantissaBits, ex... | [
[
"numpy.uint32",
"numpy.zeros"
]
] |
rajvijay68/streamlit | [
"7f15c0f2cb8711a128d1671d73ff297af45f07c0"
] | [
"lib/streamlit/bootstrap.py"
] | [
"# -*- coding: utf-8 -*-\n# Copyright 2018-2020 Streamlit Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requi... | [
[
"matplotlib.use"
]
] |
pdex/tensorflow | [
"1ce189fed323a8258ace5138da634e9b1aae19f7"
] | [
"tensorflow/python/keras/distribute/distribute_strategy_test.py"
] | [
"# Copyright 2016 The TensorFlow Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requ... | [
[
"tensorflow.python.ops.array_ops.identity",
"numpy.random.rand",
"tensorflow.python.ops.array_ops.ones",
"tensorflow.python.distribute.distribution_strategy_context.get_strategy",
"numpy.random.random",
"tensorflow.python.platform.test.main",
"tensorflow.python.keras.metrics.BinaryAccu... |
willfurnass/pFIRE | [
"406fdbb188a17b6413edcd0a229213464628ab15"
] | [
"benchmarking/pfire_benchmarking/application_routines.py"
] | [
"#!/usr/bin/env python3\n\nimport os\nimport subprocess as sp\n\nimport numpy as np\n\nfrom configobj import ConfigObj\n\nimport flannel.io as fio\n\nfrom .image_routines import load_image\n\n\nclass ResultObject:\n \"\"\"\n Small object to hold registration result info\n \"\"\"\n\n def __init__(self, r... | [
[
"numpy.full"
]
] |
lilakk/t5x | [
"cb0b7cfd8f25a631236766600298bbc49e884dc4"
] | [
"t5x/models_test.py"
] | [
"# Copyright 2022 The T5X Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or ag... | [
[
"numpy.concatenate",
"numpy.testing.assert_allclose",
"numpy.array",
"numpy.full",
"numpy.ones_like",
"numpy.max",
"numpy.zeros",
"numpy.testing.assert_array_equal",
"numpy.ones",
"numpy.stack",
"numpy.arange",
"numpy.squeeze",
"tensorflow.data.Dataset.from_tens... |
yasumura-lm/blueoil | [
"2149f97862e9a0684f816cc27f16d461b8dcc3ad"
] | [
"lmnet/lmnet/networks/object_detection/yolo_v2_quantize.py"
] | [
"# -*- coding: utf-8 -*-\n# Copyright 2018 The Blueoil Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE... | [
[
"tensorflow.compat.v1.summary.histogram",
"tensorflow.compat.v1.variable_scope",
"tensorflow.nn.leaky_relu"
]
] |
EntilZha/neural-el | [
"bab6659e1653909d911201cf33b340616cc59b99"
] | [
"neuralel.py"
] | [
"import os\nimport sys\nimport copy\nimport pprint\nimport numpy as np\nimport tensorflow as tf\nimport json\nimport time \nimport gc\n\nfrom memory_profiler import profile\nfrom readers.inference_reader import InferenceReader\nfrom readers.test_reader import TestDataReader\nfrom models.figer_model.el_model import ... | [
[
"numpy.set_printoptions",
"tensorflow.reset_default_graph",
"tensorflow.Session",
"tensorflow.ConfigProto",
"tensorflow.app.run"
]
] |
IMGARENA/superset | [
"c440d98fadaf5ee1859bd8c4a01036fb71f1753a"
] | [
"tests/pandas_postprocessing_tests.py"
] | [
"# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); y... | [
[
"pandas.Timestamp"
]
] |
jvrcavalcanti/Joguinho-sem-nome-python- | [
"7526a83b6f7872dbd2c70c8f18bf7e89e3cc5bb0"
] | [
"ai/main.py"
] | [
"import pygame as pg\nfrom classes.game import Screen\nfrom classes.player import Player\nfrom classes.fruit import Fruit\nfrom joblib import dump, load \nfrom sklearn.neural_network import MLPClassifier\nimport pandas as pd\nimport sys\n\ndef main():\n df = pd.read_csv(\"data.csv\")\n df.drop_duplicates()\n ... | [
[
"pandas.read_csv",
"sklearn.neural_network.MLPClassifier"
]
] |
ishine/lite-transformer | [
"de9631cbbbb9c42dce3616a1e95fb59a89ab696e"
] | [
"fairseq/optim/fairseq_optimizer.py"
] | [
"# Copyright (c) Facebook, Inc. and its affiliates.\n#\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\n\nimport math\n\nimport torch\n\n\nclass FairseqOptimizer(object):\n\n def __init__(self, args):\n super().__init__()\n ... | [
[
"torch.nn.utils.clip_grad_norm_"
]
] |
bjuncek/detr | [
"a1bd3788ca16fb8dc92f7e69b2d801259ecec8f9"
] | [
"models/backbone.py"
] | [
"# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n\"\"\"\nBackbone modules.\n\"\"\"\nfrom collections import OrderedDict\n\nimport torch\nimport torch.nn.functional as F\nimport torchvision\nfrom torch import nn\nfrom torchvision.models._utils import IntermediateLayerGetter\nfrom typing impor... | [
[
"torch.zeros",
"torch.ones"
]
] |
kif/HPP | [
"d555ae88c72fe6eea55e29ca9ecb58c059122fa1"
] | [
"1_Cython_C/setup.py"
] | [
"#!/usr/bin/env python\n\nfrom distutils.core import setup\nfrom Cython.Distutils import build_ext\nfrom distutils.extension import Extension\nimport numpy\n# from numpy.distutils.core import Extension\n\ncy_mod = Extension(\"inside_polygon\",\n sources=[\"inside_polygon.pyx\", \"InsidePolygonWithBounds.c\"],\n ... | [
[
"numpy.get_include"
]
] |
vwegmayr/entrack | [
"ba3cb68121b8a56faf765d97baaff98bb574dc6b"
] | [
"modules/models/base.py"
] | [
"import tensorflow as tf\nimport multiprocessing\nimport os\nimport nibabel as nib\nimport numpy as np\nimport subprocess\nimport json\n\nfrom sklearn.utils.validation import check_is_fitted\nfrom abc import ABC, abstractmethod\nfrom sklearn.base import BaseEstimator, TransformerMixin\nfrom termcolor import cprint\... | [
[
"numpy.isclose",
"numpy.dot",
"numpy.arccos",
"numpy.exp",
"numpy.where",
"numpy.sign",
"numpy.cos",
"numpy.inner",
"numpy.random.normal",
"numpy.sin",
"numpy.linalg.norm",
"numpy.eye",
"tensorflow.estimator.RunConfig",
"tensorflow.python.estimator.export.ex... |
yanMichellod/MNIST | [
"d789e73295ce045c1b358efa1c6df26a8570b721"
] | [
"Processor/Processor.py"
] | [
"# Inspired by https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-from-scratch-for-mnist-handwritten-digit-classification/\n# and https://www.kaggle.com/ashwani07/mnist-classification-using-random-forest\n\nimport os\n\nos.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"3\"\n\nimport tensorflow ... | [
[
"tensorflow.keras.optimizers.SGD",
"tensorflow.random.set_seed",
"sklearn.ensemble.RandomForestClassifier",
"tensorflow.keras.layers.Flatten",
"sklearn.metrics.accuracy_score",
"tensorflow.keras.layers.Conv2D",
"tensorflow.keras.layers.Dense",
"tensorflow.keras.layers.MaxPooling2D"... |
Platingamer42/DigitRecognition | [
"b42b0e79db90d198e72fc5f15c4bd730b6386671"
] | [
"RasPI/PicEditor.py"
] | [
"from PIL import Image\nfrom PIL import ImageOps\nimport numpy as np\nfrom scipy import ndimage\n\nclass PicEditor:\n #returns all pictures that might contain a digit -> ALL images in the Image...\n def getAll(self, original):\n img = original.copy() # we don't change the original, please.\n #Le... | [
[
"numpy.array",
"numpy.delete"
]
] |
mohan-chinnappan-n/ParlAI | [
"b4a442018d1a46f9374547ef0a9b8134b7bb4944"
] | [
"parlai/core/dict.py"
] | [
"#!/usr/bin/env python3\n\n# Copyright (c) Facebook, Inc. and its affiliates.\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\n\"\"\"\nContains code for parsing and building a dictionary from text.\n\"\"\"\n\nfrom parlai.core.opt import O... | [
[
"numpy.fromiter"
]
] |
photoszzt/deep-high-resolution-net.pytorch | [
"77d53f2c601ff00e600625016c984230ebf2d353"
] | [
"demo/export_onnx.py"
] | [
"import onnxruntime as rt\nimport onnx.utils\nimport onnx\n\nimport sys\nsys.path.append(\"../lib\")\n\nfrom config import update_config\nfrom config import cfg\nimport torch\nimport models\nimport argparse\n\n\ndef parse_args():\n parser = argparse.ArgumentParser(description='Train keypoints network')\n # ge... | [
[
"torch.randn",
"torch.onnx.export",
"torch.load"
]
] |
jakuzo/ms-collect | [
"b71e407082b5d58e4e837eb40e45c22490f03d84"
] | [
"src/ms_collect/viz/bar.py"
] | [
"from typing import List\nimport matplotlib.pyplot as plt\n\n\nclass Bar:\n def __init__(self, x: List[float], y: List[float]) -> None:\n \"\"\"\n Constructor for the bar class. Serves as a wrapper around\n matplotlib's bar charts.\n\n Args:\n x (List[float]): The values to... | [
[
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.figure",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.show",
"matplotlib.pyplot.bar"
]
] |
ganileni/modelinter | [
"82d2948a902a84c54a65e83c7305d6c45d641f51"
] | [
"modelinter/notebooks/imports.py"
] | [
"import matplotlib\nmatplotlib.use('nbagg')\nimport sys\nsys.path.append('../../')\nfrom modelinter.models.utils import view_code\n\n"
] | [
[
"matplotlib.use"
]
] |
kie4280/bg-matting-with-depth | [
"99cb87eb05342c7c6e3c871c6bccd8aef06a5451"
] | [
"V2wd/train_base.py"
] | [
"\"\"\"\nTrain MattingBase\n\nYou can download pretrained DeepLabV3 weights from <https://github.com/VainF/DeepLabV3Plus-Pytorch>\n\nExample:\n\n CUDA_VISIBLE_DEVICES=0 python V2/train_base.py \\\n --dataset-name photomatte85 \\\n --model-backbone resnet50 \\\n --model-name custom \\\n ... | [
[
"torch.cuda.amp.autocast",
"torch.nn.functional.l1_loss",
"torch.no_grad",
"torch.nn.functional.mse_loss",
"torch.randn_like",
"torch.utils.data.DataLoader",
"torch.load",
"torch.cuda.amp.GradScaler",
"torch.utils.tensorboard.SummaryWriter"
]
] |
saultyevil/PyPython | [
"109f650505388ecf0611c6e2661d1365bca4cd70"
] | [
"pypython/spectrum/__init__.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"Utility functions for creating and analyzing spectra.\"\"\"\nimport copy\nimport textwrap\nfrom enum import Enum\nfrom os import path\n\nimport numpy as np\nfrom matplotlib import pyplot as plt\nfrom scipy.integrate import simpson\n\nfrom pypython import _Attr... | [
[
"scipy.integrate.simpson",
"matplotlib.pyplot.show",
"numpy.array",
"matplotlib.pyplot.subplots"
]
] |
THU-MIG/torch-model-compression | [
"6c48f8a67d84cbc4d3079cbff5ab516b62dd2ff5"
] | [
"torchpruner/operator/onnx_operator.py"
] | [
"import numpy as np\nimport torchpruner.mask_utils as mask_utils\nfrom collections import OrderedDict\nfrom . import operator\n\nimport copy\n\n\ndef mask_mapping(\n node, mask, operator, defined_dict={}, masks=None, return_origin=False\n):\n in_or_out, rank = operator.rank(node)\n node_key = in_or_out + \... | [
[
"numpy.array",
"numpy.reshape",
"numpy.arange",
"numpy.sort",
"numpy.repeat",
"numpy.expand_dims"
]
] |
LukasStruppek/Plug-and-Play-Attacks | [
"f433f97531a5fb3e6f82965ecdde504e0eb1c4ab"
] | [
"utils/attack_config_parser.py"
] | [
"from copy import copy\nfrom typing import List\n\nimport numpy as np\nimport torch\nimport torch.optim as optim\nimport torchvision.transforms as T\nimport yaml\nfrom matplotlib.pyplot import fill\nimport wandb\n\nfrom attacks.initial_selection import find_initial_w\nfrom utils.wandb import load_model\n\n\nclass A... | [
[
"torch.repeat_interleave",
"torch.full",
"torch.cuda.is_available",
"torch.tensor",
"torch.load"
]
] |
Darkweiss/dannce | [
"dc64c73bebd4e3aeb5df6f4bc63e6b13e316877f"
] | [
"dannce/engine/ops.py"
] | [
"\"\"\"Operations for dannce.\"\"\"\nimport tensorflow as tf\nimport numpy as np\nfrom scipy.interpolate import RegularGridInterpolator\nimport tensorflow.keras.backend as K\nimport tensorflow.keras.initializers as initializers\nimport tensorflow.keras.constraints as constraints\nimport tensorflow.keras.regularizer... | [
[
"tensorflow.matrix_transpose",
"torch.cat",
"torch.stack",
"tensorflow.keras.backend.std",
"tensorflow.keras.regularizers.get",
"tensorflow.matmul",
"tensorflow.ones",
"tensorflow.reshape",
"torch.ones",
"tensorflow.keras.backend.reshape",
"tensorflow.reverse",
"ten... |
tttcn/Kluster | [
"a12b450ebdd07b201481aea49375b5673ba278d4"
] | [
"test/csv2bin.py"
] | [
"import numpy as np\nimport pandas as pd\n\n\ncsv_data = pd.read_csv(\"../data/double11_1020_1120.csv\")\ncsv_data *= 100.0\n# csv_data.fillna(0.0,inplace=True)\n# print(csv_data.isnull().any())\ncsv_data_u = csv_data.round(5).drop_duplicates(subset=csv_data.columns[1:],keep='first')\n# csv_data_u = csv_data\n\ncsv... | [
[
"pandas.read_csv"
]
] |
ZhangQingsen/CISC849Proj | [
"ae89693648ead79d97805d663c1db58dfc0786a0",
"ae89693648ead79d97805d663c1db58dfc0786a0"
] | [
"venv/Lib/site-packages/dask/array/utils.py",
"venv/Lib/site-packages/dask/dataframe/indexing.py"
] | [
"import difflib\nimport functools\nimport math\nimport numbers\nimport os\nimport warnings\n\nimport numpy as np\nfrom tlz import frequencies, concat\n\nfrom .core import Array\nfrom ..highlevelgraph import HighLevelGraph\nfrom ..utils import has_keyword, ignoring, is_arraylike\n\ntry:\n AxisError = np.AxisError... | [
[
"numpy.full",
"numpy.array",
"numpy.ones_like",
"numpy.zeros_like",
"numpy.empty",
"numpy.errstate",
"numpy.zeros",
"numpy.isnan",
"numpy.sum",
"numpy.ones",
"numpy.allclose",
"numpy.isscalar",
"numpy.empty_like",
"numpy.full_like"
],
[
"pandas.core.... |
caffett/gym | [
"a9126ace2488acfaa63544ad14859d530ee4ac76"
] | [
"gym/envs/F16/AeroBenchVVPython/code/check_engine.py"
] | [
"'''\nStanley Bak\n\nEngine controller specification checking\n'''\n\nimport numpy as np\nfrom numpy import deg2rad\n\nfrom RunF16Sim import RunF16Sim\nfrom PassFailAutomaton import AirspeedPFA, FlightLimits\nfrom CtrlLimits import CtrlLimits\nfrom LowLevelController import LowLevelController\nfrom Autopilot import... | [
[
"numpy.deg2rad",
"numpy.zeros"
]
] |
mehrdad-shokri/nevergrad | [
"7b68b00c158bf60544bc45997560edf733fb5812"
] | [
"nevergrad/benchmark/test_xpbase.py"
] | [
"# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.\n#\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\n\nimport sys\nimport numbers\nimport contextlib\nfrom unittest.mock import patch\nimport numpy as np\nimport neve... | [
[
"numpy.random.normal",
"numpy.array",
"numpy.isnan",
"numpy.testing.assert_equal",
"numpy.testing.assert_almost_equal",
"numpy.random.seed",
"numpy.testing.assert_array_equal",
"numpy.random.randint"
]
] |
AnelMusic/CAMVID_SEMANTIC_SEGMENTATION_TENSORFLOW2 | [
"75eb8daea8edc402e73ef323e754965dada1aafe"
] | [
"fcn8.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nModel exaplaination https://www.coursera.org/lecture/advanced-computer-vision-with-tensorflow/fcn-architecture-details-uwVDj\n@author: anelmusic\n\"\"\"\n\nimport tensorflow as tf\nimport config\n\nvgg_weights_path = config.VGG_WEIGHTS_PATH\n\ndef block(x, n... | [
[
"tensorflow.keras.layers.Add",
"tensorflow.keras.layers.Input",
"tensorflow.keras.layers.Activation",
"tensorflow.keras.layers.Conv2D",
"tensorflow.keras.layers.Conv2DTranspose",
"tensorflow.keras.Model",
"tensorflow.keras.layers.Cropping2D"
]
] |
dssg/mlpolicylab_fall20_bills1_public | [
"c0b991daf24ef8d35689bbd7ad83baf142c420a2"
] | [
"bf_bid.py"
] | [
"import pandas as pd\nimport psycopg2 as pg2\nimport yaml\nimport io\nimport ohio.ext.pandas\nfrom sqlalchemy import create_engine \n\n\n\n\ndef open_db_connection(secrets_file=\"secrets.yaml\", verbose=True):\n \"\"\"\n Opens connection to psql db\n\n :return:\n connection object\n \"\"\"\n t... | [
[
"pandas.read_pickle",
"pandas.DataFrame"
]
] |
jrmcornish/pyro | [
"38914d5eb596dc140e226031534ff4ea7903dc35"
] | [
"examples/lkj.py"
] | [
"import argparse\nimport torch\n\nimport pyro\nimport pyro.distributions as dist\nfrom pyro.infer.mcmc.api import MCMC\nfrom pyro.infer.mcmc import NUTS\n\n\"\"\"\nThis simple example is intended to demonstrate how to use an LKJ prior with\na multivariate distribution.\n\nIt generates entirely random, uncorrelated ... | [
[
"torch.zeros",
"torch.randn",
"torch.multiprocessing.set_sharing_strategy",
"torch.ones"
]
] |
kharris/max-qnorm-tensor-completion | [
"78a6a5be123cebe670ad1b82d2738d8537e9edfd",
"78a6a5be123cebe670ad1b82d2738d8537e9edfd"
] | [
"maxnorm/optimization.py",
"run_sweep_expander.py"
] | [
"import numpy as np\n#import jax.numpy as np\nfrom typing import Callable\nimport warnings\n\n'''\noptimization module\n\nProvides matrix-valued prox-gradient method and its accelerated versions.\nModified from the code in https://github.com/harrispopgen/mushi/\n\n'''\n\ndef hs_dot(A, B):\n return (A*B).flatten(... | [
[
"numpy.all",
"numpy.isfinite",
"numpy.abs"
],
[
"pandas.DataFrame",
"numpy.random.randn",
"numpy.sqrt"
]
] |
willhaslett/covid-19-growth | [
"e4b7ab8676f19f35a9e7ad9baaa0ffd6e34a9ad6"
] | [
"lib/county_charts.py"
] | [
"import pandas as pd\nimport numpy as np\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\nimport matplotlib.dates as dt\nimport matplotlib.ticker as ticker\nimport datetime\nimport pickle\nimport copy\nimport snake_case\n\nYAXPARAMS = {\n 'cases': {\n 'total': {\n 'ymax': 90,\n ... | [
[
"pandas.to_datetime",
"matplotlib.pyplot.savefig",
"matplotlib.dates.DateFormatter",
"matplotlib.dates.MonthLocator",
"matplotlib.ticker.FormatStrFormatter",
"matplotlib.pyplot.figure",
"numpy.arange",
"matplotlib.pyplot.style.use"
]
] |
thomasjpfan/modin | [
"f4d8e3c2341a7dca984492e2ac2222ed014c5048"
] | [
"modin/pandas/test/test_concat.py"
] | [
"from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport pytest\nimport pandas\nimport modin.pandas as pd\nfrom modin.pandas.utils import (\n to_pandas,\n from_pandas\n)\n\n\n@pytest.fixture\ndef ray_df_equals_pandas(ray_df, pandas_df):\n ret... | [
[
"pandas.DataFrame",
"pandas.concat"
]
] |
guyuisland/OpenHGNN | [
"ab25b83431fed760136e122b442ca4470eb9522c"
] | [
"space4hgnn/relation_models/layers.py"
] | [
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\nimport dgl\nfrom dgl.nn.pytorch import GraphConv, HeteroGraphConv\nfrom openhgnn.models.macro_layer.SemanticConv import SemanticAttention\nfrom ..models.layers import homo_layer_dict\n\nclass HeteroGeneralLayer(nn.Module):\n '''General wrap... | [
[
"torch.nn.Sequential",
"torch.nn.Dropout",
"torch.nn.BatchNorm1d"
]
] |
uActor/uActor | [
"1180db98f48ad447639a3d625573307d87b28902"
] | [
"evaluation/tools/result_processor_messaging.py"
] | [
"#!/usr/bin/env python\n\n\nimport os\nimport argparse\n\nimport pandas\nimport numpy\n\npandas.set_option('display.max_columns', None) # or 1000\npandas.set_option('display.max_rows', None) # or 1000\npandas.set_option('display.max_colwidth', 300) # or 199\n\ndef main():\n parser = argparse.ArgumentParser(de... | [
[
"numpy.percentile",
"pandas.notna",
"pandas.set_option",
"pandas.concat"
]
] |
lidongyv/gym-car | [
"2ed2049fc30edee2bbc5077dddf50f529bfb2268"
] | [
"train_fused.py"
] | [
"# -*- coding: utf-8 -*-\r\n# @Author: yulidong\r\n# @Date: 2019-07-27 01:06:36\r\n# @Last Modified by: yulidong\r\n# @Last Modified time: 2019-08-04 22:34:24\r\n\r\n\"\"\" Training perception and control \"\"\"\r\nimport argparse\r\nfrom os.path import join, exists\r\nfrom os import mkdir\r\nimport matplotlib.... | [
[
"numpy.random.rand",
"torch.isnan",
"numpy.mean",
"torch.ones",
"torch.cuda.is_available",
"torch.load",
"torch.sum",
"torch.manual_seed",
"torch.randn_like",
"torch.utils.data.DataLoader",
"torch.zeros",
"torch.device",
"numpy.reshape",
"torch.randn",
"... |
arslansadiq/Combustion-Model | [
"a193008f4285d792662155675ed75dcff1add61c"
] | [
"model/metric.py"
] | [
"import torch\nfrom sklearn.metrics import r2_score\n\n\ndef my_metric(output, target):\n with torch.no_grad():\n #pred = torch.argmax(output, dim=1)\n #assert pred.shape[0] == len(target)\n #correct = 0\n #correct += torch.sum(output == target).item()\n output = output.cpu()\n... | [
[
"sklearn.metrics.r2_score",
"torch.no_grad"
]
] |
scottclowe/pytorch-image-models | [
"3dbeb84b3e02bf1d5dc289bd9fc0ca5682332956"
] | [
"timm/models/layers/activations.py"
] | [
"\"\"\" Activations\n\nA collection of activations fn and modules with a common interface so that they can\neasily be swapped. All have an `inplace` arg even if not used.\n\nHacked together by / Copyright 2020 Ross Wightman\n\"\"\"\n\nimport torch\nfrom torch import nn as nn\nfrom torch.nn import functional as F\n\... | [
[
"torch.nn.functional.relu6",
"torch.nn.functional.softplus",
"torch.nn.functional.gelu",
"torch.nn.functional.silu",
"torch.nn.functional.prelu"
]
] |
the16thpythonist/gcnn_keras | [
"27d794095b684333d93149c825d84b85df8c30ff"
] | [
"kgcnn/utils/data.py"
] | [
"import pickle\r\nimport tensorflow as tf\r\nimport numpy as np\r\nimport pandas as pd\r\nimport yaml\r\nimport json\r\nimport os\r\nfrom importlib.machinery import SourceFileLoader\r\n\r\n\r\ndef save_pickle_file(outlist, filepath):\r\n \"\"\"Save to pickle file.\"\"\"\r\n with open(filepath, 'wb') as f:\r\n... | [
[
"numpy.concatenate",
"numpy.array",
"numpy.expand_dims"
]
] |
jobliz/solid-state-kinetics | [
"c5767b400b19bd0256c806001664f0b369718bab"
] | [
"ssk/ti/api.py"
] | [
"from __future__ import division\nimport numpy as np\nfrom scipy.constants import R\nfrom scipy.integrate import quad\n\n__all__ = [\n 'temp_integral', \n 'time_integral', \n 'senumyang', \n 'timeint'\n]\n\ndef temp_integral(E, T):\n \"\"\"Evaluates the temperature integral with numerical quadrature.... | [
[
"numpy.exp",
"scipy.integrate.quad"
]
] |
GarrettMooney/einops | [
"e1fd38e0b1c22efb933fdf713ddf360d0f843207"
] | [
"tests/test_other.py"
] | [
"import sys\nfrom doctest import testmod\n\nimport numpy\n\nimport einops\nimport einops.layers\nimport einops.parsing\nfrom einops._backends import AbstractBackend\nfrom einops.einops import rearrange, parse_shape, _optimize_transformation\nfrom . import collect_test_backends\n\n__author__ = 'Alex Rogozhnikov'\n\n... | [
[
"numpy.array_equal",
"numpy.zeros",
"numpy.random.permutation",
"numpy.allclose",
"numpy.random.randint"
]
] |
wangkuiyi/pytorch | [
"599f5058cf0726d163e04e2d542530f63fcf439c"
] | [
"torch/testing/_internal/distributed/nn/api/remote_module_test.py"
] | [
"#!/usr/bin/python3\nimport enum\nimport pickle\nfrom typing import Tuple\n\nimport torch\nimport torch.distributed.rpc as rpc\nimport torch.testing._internal.dist_utils as dist_utils\nfrom torch import Tensor, nn\nfrom torch._jit_internal import Future\nfrom torch.distributed.nn import RemoteModule\nfrom torch.dis... | [
[
"torch.rand",
"torch.distributed.nn.RemoteModule",
"torch.testing._internal.common_utils.TemporaryFileName",
"torch.distributed.nn.api.remote_module._RemoteModule",
"torch.save",
"torch.ones",
"torch.testing._internal.dist_utils.worker_name",
"torch.distributed.rpc.rpc_sync",
"... |
sharebook-kr/learningspoons-bootcamp-finance | [
"0288f3f3b39f54420e4e9987f1de12892dc680ea"
] | [
"python-fundamental/unit07/05.py"
] | [
"import requests\nimport pprint\nimport requests\nimport re \nimport pandas as pd\nfrom bs4 import BeautifulSoup\nimport time\n\n\n# encparam\ndef get_encparam(code):\n url = f\"https://navercomp.wisereport.co.kr/v2/company/c1010001.aspx?cmp_cd={code}\"\n resp = requests.get(url)\n text = resp.text\n en... | [
[
"pandas.DataFrame"
]
] |
rickyHong/onnx-tensorflow-repl | [
"cf0de7ae82b6b74fe23e9d057214970cd3c9672d"
] | [
"onnx_tf/opr_checker.py"
] | [
"import argparse\nimport warnings\nimport logging\nimport os\nfrom imp import reload\n\nfrom google.protobuf import text_format\nfrom onnx import defs\nimport tensorflow as tf\n\nfrom onnx_tf.common import get_output_node_names\nfrom onnx_tf.common.handler_helper import get_all_frontend_handlers\nfrom onnx_tf.commo... | [
[
"tensorflow.train.import_meta_graph",
"tensorflow.Session",
"tensorflow.GraphDef",
"tensorflow.gfile.GFile",
"tensorflow.local_variables_initializer",
"tensorflow.global_variables_initializer"
]
] |
charliekind/vtkplotter | [
"e16daac258dc0b383043575f2916ac4ea84a60b1"
] | [
"vedo/picture.py"
] | [
"import numpy as np\nimport vedo\nimport vedo.colors as colors\nimport vedo.utils as utils\nimport vtk\nfrom vtk.util.numpy_support import numpy_to_vtk\n\n__doc__ = (\"Submodule to work with common format images.\" + vedo.docs._defs)\n__all__ = [\"Picture\"]\n\n\n#################################################\nd... | [
[
"numpy.max",
"numpy.array",
"numpy.zeros_like",
"numpy.asarray",
"numpy.sum",
"numpy.min",
"numpy.where",
"numpy.clip",
"numpy.flip"
]
] |
bhlarson/pymlutil | [
"77b1617442015d532986e461bdae2dc7517a67fa"
] | [
"pymlutil/metrics.py"
] | [
"import copy\nimport numpy as np\nimport cv2\nfrom sklearn.metrics import confusion_matrix\n\ndef similarity(intersection, union):\n if union > 0:\n similarity = np.array(intersection/float(union)).item()\n elif intersection == 0 and union == 0:\n similarity = 1.0\n else:\n similarity ... | [
[
"numpy.zeros_like",
"numpy.zeros",
"numpy.sum",
"numpy.diagonal",
"numpy.nonzero",
"numpy.dstack",
"numpy.unique"
]
] |
diegoaldarondo/dannce | [
"62c8f3fe3ab70bc31830619fdfdb0856bbee7053"
] | [
"dannce/utils/extractEmbeddedModel.py"
] | [
"\"\"\"\nAfter fine-tuning, all of our model weights, up until the last conv. layer,\nare contained within a single layer model object, making it difficult for Keras\nto load in these layer weights by name for any subsequent fine-tuning. Here,\nthe model is loaded, the interior model is extracted,\nand its weights ... | [
[
"tensorflow.keras.models.load_model"
]
] |
CxrImagePreProcessing/CheXaid | [
"d815afbdfdea63cd3aa9151f1f8a1093b7c02412"
] | [
"eval/regression_evaluator.py"
] | [
"import sklearn.metrics as sk_metrics\nimport numpy as np\nfrom tqdm import tqdm\n\nfrom .average_meter import AverageMeter\nfrom .base_evaluator import BaseEvaluator\nfrom .sksurv.metrics import concordance_index_censored\nfrom sklearn.linear_model import LinearRegression\n\nclass RegressionEvaluator(BaseEvaluator... | [
[
"numpy.concatenate",
"numpy.ones",
"sklearn.linear_model.LinearRegression"
]
] |
nighthawk9/matplotlib2tikz | [
"c64ed4c39094e592b18039a08fb223d302cb57b2"
] | [
"test/test_errorband.py"
] | [
"# -*- coding: utf-8 -*-\n#\nfrom helpers import Phash\n\n\ndef plot():\n from matplotlib import pyplot as plt\n import numpy as np\n\n fig, ax = plt.subplots()\n with plt.style.context((\"ggplot\")):\n t = np.linspace(0, 2 * np.pi, 101)\n s = np.sin(t)\n ax.plot(t, s, \"k-\")\n ... | [
[
"matplotlib.pyplot.style.context",
"numpy.linspace",
"numpy.sin",
"matplotlib.pyplot.subplots"
]
] |
tarunkathuria1/distrbutio | [
"9ce1bf4c88aa4adb4f175daad7f682df2af113ec"
] | [
"weight.py"
] | [
"import plotly.figure_factory as ff\r\nimport pandas as pd\r\nimport csv\r\n\r\ndf=pd.read_csv(\"data.csv\")\r\nfig=ff.create_distplot([df['Weight(Pounds)'].tolist()],['Weight'],show_hist=False)\r\nfig.show()"
] | [
[
"pandas.read_csv"
]
] |
zeynepakkalyoncu/dl4ir-doc2query | [
"fc9b39f5c5e84b53e2368c90f1a433f645a2cd1d"
] | [
"bert_reranking.py"
] | [
"import time\nimport numpy as np\nimport tensorflow as tf\n\nimport metrics\nimport modeling\nimport optimization\n\n# Prepare and import BERT modules\n\nimport sys\nimport os\n\n# !test -d bert_repo || git clone https://github.com/nyu-dl/dl4marco-bert dl4marco-bert\n# if not 'dl4marco-berto' in sys.path:\n# sys.... | [
[
"tensorflow.contrib.tpu.TPUEstimatorSpec",
"tensorflow.data.TFRecordDataset",
"tensorflow.contrib.tpu.TPUEstimator",
"tensorflow.matmul",
"tensorflow.ones_like",
"numpy.where",
"tensorflow.zeros_like",
"tensorflow.one_hot",
"tensorflow.parse_single_example",
"tensorflow.cas... |
xvjiarui/partnet_seg_exps | [
"d526a92f2eaef3b36d71ebf0e7d6c5825d3cd967"
] | [
"exps/ins_seg_sgpn/convert_pts_to_png.py"
] | [
"import time\nimport argparse\nimport os\nimport sys\nimport pptk\nimport numpy as np\nBASE_DIR = os.path.dirname(os.path.abspath(__file__))\nROOT_DIR = BASE_DIR\nsys.path.append(BASE_DIR)\nsys.path.append(os.path.join(ROOT_DIR, '../utils'))\nfrom commons import check_mkdir, force_mkdir\n\nparser = argparse.Argumen... | [
[
"numpy.array",
"numpy.stack",
"numpy.loadtxt",
"numpy.unique"
]
] |
tskisner/spt3g_software | [
"bf4ba191506842477490c6d2300caeafee5fe93d"
] | [
"dfmux/bin/ledgerman.py"
] | [
"#!/usr/bin/env python\n\nfrom spt3g import core, dfmux\nimport socket, argparse\nimport numpy as np\n\nparser = argparse.ArgumentParser(description='Record dfmux data to a NetCDF file', prog='ledgerman')\nparser.add_argument('hardware_map', metavar='/path/to/hwm.yaml', help='Path to hardware map YAML file')\nparse... | [
[
"numpy.array"
]
] |
hillshadow/continual-learning-for-HAR | [
"21aeb99efa4bebf8f3f9f00f4452a8fd91e20c75"
] | [
"continual_learner.py"
] | [
"import abc\nimport numpy as np\nimport torch\nfrom torch import nn\nfrom torch.nn import functional as F\nimport utils\n\n\nclass ContinualLearner(nn.Module, metaclass=abc.ABCMeta):\n '''Abstract module to add continual learning capabilities to a classifier.'''\n\n def __init__(self):\n super().__init... | [
[
"numpy.where",
"torch.LongTensor",
"torch.nn.functional.log_softmax"
]
] |
kamikaze0923/ChemBo | [
"596b4108deef785c7afe25f9a68975e6d3a18225"
] | [
"experiments/run_virtual_screen.py"
] | [
"\"\"\"\nRun a virtual screen baseline:\nstarting from an initial pool, we randomly sample the next point\nfrom the rest of the dataset, instead of synthesizing it from that pool.\nThis simulates a situation of virtual screening and doesn't account for\nthe cost of discovery of new compounds.\n\"\"\"\n\nimport nump... | [
[
"numpy.std",
"numpy.mean"
]
] |
oliveralka/pyprophet | [
"fa86fcc5c9185083540ca5be3f1f7a740c0fba41"
] | [
"pyprophet/main.py"
] | [
"import pandas as pd\nimport numpy as np\nimport click\nimport sys\n\nfrom .runner import PyProphetLearner, PyProphetWeightApplier\nfrom .ipf import infer_peptidoforms\nfrom .levels_contexts import infer_peptides, infer_proteins, infer_genes, subsample_osw, reduce_osw, merge_osw, backpropagate_oswr\nfrom .export im... | [
[
"pandas.read_sql",
"numpy.power"
]
] |
rebero1/Card-Q | [
"7387ae06204abf9e3b28e966d1c434ec1969e6e3"
] | [
"mnist_auto/mnist_auto.py"
] | [
"#%%\nfrom tensorflow.examples.tutorials.mnist import input_data\nimport tensorflow as tf\nfrom keras.datasets import mnist\nfrom tensorflow.examples.tutorials.mnist import input_data\n\nimport keras\n\n\n\n#%%\ntf.reset_default_graph()\n\n\ndef dataset():\n return mnist.load_data()\n\n\n(X_train,y_train), (X_tes... | [
[
"tensorflow.train.AdamOptimizer",
"tensorflow.summary.scalar",
"tensorflow.reset_default_graph",
"tensorflow.examples.tutorials.mnist.input_data.read_data_sets",
"tensorflow.train.Saver",
"tensorflow.Session",
"tensorflow.placeholder",
"tensorflow.keras.regularizers.l2",
"tenso... |
unvercanunlu/pytorch-loss-functions-comparison | [
"6dfbb2c0935898774452044129c3e22a50d4ec19"
] | [
"mnist_classifier_mseloss.py"
] | [
"import os\r\n\r\nimport numpy as np\r\nimport torch\r\nimport torchvision\r\nfrom torch import nn, optim\r\nfrom torch.utils.data.sampler import SequentialSampler, SubsetRandomSampler\r\n\r\nfrom common import train, test, save_state, save_data, draw_line_graph, draw_multi_lines_graph\r\n\r\n\r\n# model\r\nclass M... | [
[
"torch.nn.Linear",
"torch.nn.MSELoss",
"torch.utils.data.sampler.SequentialSampler",
"torch.cuda.is_available",
"numpy.arange",
"torch.utils.data.DataLoader",
"torch.utils.data.sampler.SubsetRandomSampler"
]
] |
zpreisler/XRDXRFutils | [
"9455c8394e82d8b62c7423a072bcbc6a13db1eb2"
] | [
"XRDXRFutils/spectra.py"
] | [
"from numpy import loadtxt,arctan,pi,arange,array, asarray, linspace, zeros\nfrom matplotlib.pyplot import plot\nfrom .utils import snip,convolve\nimport xml.etree.ElementTree as et\nfrom scipy.interpolate import interp1d\n\nfrom .calibration import Calibration\n\nclass Spectra():\n def __init__(self):\n ... | [
[
"numpy.array",
"matplotlib.pyplot.plot",
"numpy.loadtxt",
"numpy.arange",
"numpy.arctan"
]
] |
Bhavna777/pyjanitor | [
"17f224b338ecd4795c8d24f25361836a4268b444"
] | [
"janitor/utils.py"
] | [
"\"\"\"Miscellaneous internal PyJanitor helper functions.\"\"\"\n\nimport functools\nimport os\nimport sys\nimport warnings\nfrom itertools import chain, product\nfrom typing import Callable, Dict, List, Optional, Pattern, Tuple, Union\n\nimport numpy as np\nimport pandas as pd\nfrom pandas.api.types import Categor... | [
[
"pandas.DataFrame.join",
"numpy.array",
"numpy.isnan",
"numpy.reshape",
"pandas.DataFrame",
"pandas.api.types.CategoricalDtype",
"numpy.ravel",
"pandas.unique",
"pandas.melt"
]
] |
Hemantr05/distributed_training | [
"572f0e2a68bc3bab752fd100b4047848b06678a8"
] | [
"apex/mnist/trainer.py"
] | [
"import torch\nimport torchvision\nimport torch.nn as nn\nimport torch.distributed as dist\nimport torchvision.transforms as transforms\n\nfrom apex import amp\nfrom datetime import datetime\nfrom apex.parallel import DistributedDataParallel as DDP\n\nfrom model import ConvNet\n\ndef train(gpu, args):\n rank = a... | [
[
"torch.distributed.init_process_group",
"torch.manual_seed",
"torch.cuda.set_device",
"torch.utils.data.DataLoader",
"torch.utils.data.distributed.DistributedSampler",
"torch.nn.CrossEntropyLoss"
]
] |
MartijnCa/occlusion_experiments | [
"bb867c6f97b6290ed76f9ff4597ebc6eef19bac6"
] | [
"TF_object_detection_API_modified/build/lib/object_detection/model_main.py"
] | [
"# Copyright 2017 The TensorFlow Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requ... | [
[
"tensorflow.logging.set_verbosity",
"tensorflow.train.latest_checkpoint",
"tensorflow.estimator.RunConfig",
"tensorflow.estimator.train_and_evaluate",
"tensorflow.app.run"
]
] |
seanbwilliams/beer_type_prediction | [
"97b78f6a51cbfb218d48a75ad3e30b86bb0ebb9d"
] | [
"api/app/main.py"
] | [
"from typing import List\nfrom fastapi import FastAPI, Query\nfrom pydantic import BaseModel\nfrom starlette.responses import JSONResponse\nfrom joblib import load\nimport pandas as pd\nfrom enum import Enum\n\n# Setup a variable to introduce and describe the\nprojectDescription = \"\"\"\nThe **Beer Type Prediction... | [
[
"pandas.DataFrame"
]
] |
girtel/AIML4Diabetes | [
"a413a57e8bb8f092fc71031c976e51d5dad0dd4c",
"a413a57e8bb8f092fc71031c976e51d5dad0dd4c"
] | [
"bb-pid/simglucose/simulation/env.py",
"simglucose/sensor/cgm.py"
] | [
"from simglucose.patient.t1dpatient import Action\nfrom simglucose.analysis.risk import risk_index\nimport pandas as pd\nfrom datetime import timedelta\nimport logging\nfrom collections import namedtuple\nfrom simglucose.simulation.rendering import Viewer\n\ntry:\n from rllab.envs.base import Step\nexcept Import... | [
[
"pandas.DataFrame",
"pandas.Series"
],
[
"pandas.read_csv"
]
] |
swagger2016/keras-yolo3 | [
"24247a547a8dd14e435b47daea4742513e0f8c6a",
"9ef8628f8583bc7494eeab1519f2ef2dd16fff0d"
] | [
"yolo3/model.py",
"convert.py"
] | [
"\"\"\"YOLO_v3 Model Defined in Keras.\"\"\"\n\nfrom functools import wraps\n\nimport tensorflow as tf\nfrom keras import backend as K\nfrom keras.layers import Conv2D, Add, ZeroPadding2D, UpSampling2D, Concatenate\nfrom keras.layers.advanced_activations import LeakyReLU\nfrom keras.layers.normalization import Batc... | [
[
"tensorflow.boolean_mask",
"tensorflow.image.non_max_suppression"
],
[
"numpy.product",
"numpy.transpose"
]
] |
ScottWales/climtas | [
"3511e80cb0bef7e31a3b62c27bb06d5c1fa01fb3"
] | [
"test/test_io.py"
] | [
"#!/usr/bin/env python\n# Copyright 2019 Scott Wales\n# author: Scott Wales <scott.wales@unimelb.edu.au>\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.... | [
[
"numpy.random.random",
"pandas.date_range",
"numpy.zeros"
]
] |
federico-camerota/evogym | [
"da3a0508fa6c5d3fcf589194778844b15a387ece",
"da3a0508fa6c5d3fcf589194778844b15a387ece"
] | [
"examples/run_bo.py",
"evogym/world.py"
] | [
"import random\nimport numpy as np\n\nfrom bo.run import run_bo\n\nif __name__ == '__main__':\n seed = 0\n random.seed(seed)\n np.random.seed(seed)\n\n best_robot, best_fitness = run_bo(\n experiment_name='test_bo',\n structure_shape=(5, 5),\n pop_size=3,\n max_evaluations=6,... | [
[
"numpy.random.seed"
],
[
"numpy.flipud",
"numpy.sum",
"numpy.array",
"numpy.zeros"
]
] |
shangkaul/collab_tool_ui | [
"a1ddf5bfb13ffdbf92a5089aec538ad65080609c"
] | [
"ETL/dq_script_glue.py"
] | [
"import sys\nfrom awsglue.transforms import *\nfrom awsglue.utils import getResolvedOptions\nfrom pyspark.context import SparkContext\nfrom awsglue.context import GlueContext\nfrom awsglue.job import Job\n\n\nsc = SparkContext()\nglueContext = GlueContext(sc)\nspark = glueContext.spark_session\njob = Job(glueContex... | [
[
"pandas.DataFrame",
"pandas.read_csv"
]
] |
kavanase/sumo | [
"61c1c7cdf61a34bbcf53f139873577bc09ffc638"
] | [
"tests/tests_electronic_structure/test_optics.py"
] | [
"import json\nimport unittest\nfrom os.path import join as path_join\n\nimport numpy as np\nfrom numpy.testing import assert_almost_equal\nfrom pkg_resources import resource_filename\nfrom pymatgen.io.vasp import Vasprun\n\nfrom sumo.electronic_structure.optics import calculate_dielectric_properties, kkr\n\n\nclass... | [
[
"numpy.testing.assert_almost_equal",
"numpy.array"
]
] |
safgen/deep-speaker | [
"37ffa36ec38539cd6511a2f8028d32409a506c8d"
] | [
"v2/ml/train_triplet_softmax_model.py"
] | [
"from collections import deque\n\nimport argparse\nimport keras.backend as K\nimport numpy as np\nimport os\nimport pickle\nfrom argparse import ArgumentParser\nfrom glob import glob\nfrom keras import Input, Model\nfrom keras.callbacks import ReduceLROnPlateau, EarlyStopping, ModelCheckpoint, Callback\nfrom keras.... | [
[
"numpy.mean",
"numpy.vstack"
]
] |
marcoguerro/Handwritten | [
"edc5987b48167833d77c54738f1dfb90202b7a91"
] | [
"Emnist.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\n@author: marcoguerro\n\n@title: EMNIST - Support Vector Machine\n\"\"\"\n\nimport scipy\nimport random\nimport matplotlib.pyplot as plt\nimport matplotlib\nimport sklearn.svm as svm\nimport sklearn.metrics as metrics\nimport numpy as np\nimport pandas as pd\nimport time\n\n#file in... | [
[
"sklearn.metrics.confusion_matrix",
"numpy.array",
"pandas.DataFrame",
"scipy.io.loadmat",
"matplotlib.pyplot.figure",
"sklearn.svm.SVC",
"sklearn.metrics.accuracy_score",
"sklearn.metrics.classification_report",
"matplotlib.pyplot.show",
"matplotlib.pyplot.axis",
"matp... |
amahtani/fire_detection_cnn | [
"8eae55eff2ebf05e1b72949b46dfd6e2c9dd3235"
] | [
"superpixel-inceptionV1OnFire.py"
] | [
"################################################################################\n\n# Example : perform live fire detection in video using superpixel localization\n# and the superpixel trained version of the InceptionV1-OnFire CNN\n\n# Copyright (c) 2017/18 - Andrew Dunnings / Toby Breckon, Durham University, UK\n... | [
[
"numpy.zeros",
"numpy.unique"
]
] |
neuroailab/curiosity_deprecated | [
"65f7cde13b07cdac52eed39535a94e7544c396b8",
"65f7cde13b07cdac52eed39535a94e7544c396b8",
"65f7cde13b07cdac52eed39535a94e7544c396b8"
] | [
"scripts/train_2to1_jerkcrent.py",
"curiosity/sandbox/convolutional_category3.py",
"scripts/train_random_skip_parabola.py"
] | [
"'''\nCorrelation loss, 2 to 1\n'''\n\n\nimport numpy as np\nimport os\nimport tensorflow as tf\nimport sys\nsys.path.append('tfutils')\nsys.path.append('curiosity')\nimport numpy as np\n\n\nfrom tfutils import base, optimizer\nfrom curiosity.data.short_long_sequence_data import ShortLongSequenceDataProvider\nimpor... | [
[
"numpy.mean"
],
[
"tensorflow.nn.conv2d",
"tensorflow.matmul",
"numpy.frombuffer",
"tensorflow.nn.softmax",
"tensorflow.trainable_variables",
"tensorflow.Variable",
"tensorflow.constant",
"tensorflow.gfile.MakeDirs",
"numpy.prod",
"numpy.argmax",
"tensorflow.nn.... |
DanielSims1/BioASQ-QA-System | [
"98805e55373f66e5c166d6a17e985b85bc6a0f6b"
] | [
"biocodes/transform_n2b_factoid.py"
] | [
"import json,time\nimport numpy as np\nimport pandas as pd\nimport os, subprocess\nimport argparse\nfrom collections import OrderedDict\nimport operator\n\nparser = argparse.ArgumentParser(description='Shape the answer')\nparser.add_argument('--nbest_path', type=str, help='location of nbest_predictions.json')\npar... | [
[
"pandas.DataFrame"
]
] |
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