repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
AntonyMoes/cyberhelper | [
"125805b19190250968bf6deef836a600e8b25af6"
] | [
"generator/generator.py"
] | [
"from generator.model import get_model\nfrom ast import literal_eval\nimport numpy as np\n\n\nclass Generator:\n def __init__(self, file: str = 'trained_data/cyber_weights'):\n with open('trained_data/char_indices') as f:\n char_indices = f.read()\n self._char_indices = literal_eval(char... | [
[
"numpy.asarray",
"numpy.log",
"numpy.sum",
"numpy.exp",
"numpy.argmax",
"numpy.random.multinomial"
]
] |
salazarna/Solar_Code | [
"68372cd087c1a3eac0733f5f8594eac78dce8844"
] | [
"pipeline.py"
] | [
"import pvlib\nimport numpy as np\nimport pandas as pd\nimport cnosolar as cno\nfrom tqdm.auto import tqdm\nfrom functools import reduce\n\ndef run(system_configuration, data, irrad_instrument, availability, energy_units):\n '''\n Wrapper that executes the production stages of the PV system, \n including s... | [
[
"numpy.repeat",
"pandas.DataFrame",
"numpy.cos"
]
] |
Abhishek-Aditya-bs/Machine-Learning-Projects | [
"2c9eeeaf64777b8ab8309a36c40bda788b775d58"
] | [
"CNN-Classifier/CNN-Binary classifier.py"
] | [
"# Convolutional Neural Network\n\n# Importing the libraries\nimport tensorflow as tf\nfrom tensorflow.python.keras.preprocessing.image import ImageDataGenerator\n\n\n# Data Preprocessing\n\n# Preprocessing the Training set\ntrain_datagen = ImageDataGenerator(rescale = 1./255,\n sh... | [
[
"tensorflow.python.keras.preprocessing.image.image.load_img",
"tensorflow.python.keras.preprocessing.image.image.img_to_array",
"tensorflow.keras.layers.Flatten",
"tensorflow.keras.layers.MaxPool2D",
"tensorflow.keras.layers.Dense",
"tensorflow.keras.layers.Conv2D",
"tensorflow.keras.m... |
viekie/basic_deeplearning | [
"6c9e55cd621504da3d7ea1627e6783c9819a1916"
] | [
"chap05/Filter.py"
] | [
"#!/usr/bin/env python\n# -*- coding:utf8 -*-\n# Power by viekie. 2017-05-27 09:23:04\nimport numpy as np\n\n\nclass Filter(object):\n def __init__(self, width, height, depth):\n '''\n 构造初始化\n '''\n self.width = width\n self.height = height\n self.depth = depth\n ... | [
[
"numpy.random.uniform",
"numpy.zeros"
]
] |
boazmohar/VisExp | [
"5e9f22a8f1735016755f6d4c8fa844e47daac6af"
] | [
"Grating_lastrun.py"
] | [
"#!/usr/bin/env python2\n# -*- coding: utf-8 -*-\n\"\"\"\nThis experiment was created using PsychoPy2 Experiment Builder (v1.85.1),\n on September 08, 2017, at 18:43\nIf you publish work using this script please cite the PsychoPy publications:\n Peirce, JW (2007) PsychoPy - Psychophysics software in Python.\n... | [
[
"numpy.ones"
]
] |
jeya-maria-jose/Overcomplete-Deep-Subspace-Clustering | [
"31b2e993efdefa75944ed04c0bd652d15d49c7df"
] | [
"COIL20/ODSC-COIL20.py"
] | [
"\nfrom __future__ import division, print_function, absolute_import\n\nimport tensorflow as tf\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom tensorflow.contrib import layers\nfrom sklearn import cluster\nfrom munkres import Munkres\nimport scipy.io as sio\nfrom scipy.sparse.linalg import svds\nfrom skl... | [
[
"tensorflow.nn.conv2d",
"tensorflow.matmul",
"tensorflow.ones",
"tensorflow.reshape",
"sklearn.preprocessing.normalize",
"tensorflow.global_variables_initializer",
"tensorflow.InteractiveSession",
"tensorflow.trainable_variables",
"tensorflow.shape",
"sklearn.cluster.Spectr... |
matkrak/enlargeme | [
"e19c3dcfa47869f9a810eb23bc4cac7544b3d3ce"
] | [
"DataHandler.py"
] | [
"import numpy as np\nfrom PIL import Image\nimport matplotlib.pyplot as plt\n# import struct\nimport scipy.io as sio\n\nimport logging\nlogger = logging.getLogger('root.' + __name__)\nlogger.addHandler(logging.NullHandler())\n\n\nMNIST_TRAIN_LABELS = 'data/train-labels-idx1-ubyte/data'\nMNIST_TRAIN_IMAGES = 'data/t... | [
[
"numpy.copy",
"scipy.io.loadmat",
"numpy.load",
"matplotlib.pyplot.figure",
"numpy.ndarray",
"matplotlib.pyplot.subplot"
]
] |
shigh/pyro | [
"a95e654ce7588e41e1d26706f60c25cf646ed164"
] | [
"pyro/distributions/multivariate_normal.py"
] | [
"from __future__ import absolute_import, division, print_function\n\nimport numpy as np\nimport torch\nfrom torch.autograd import Variable\n\nfrom pyro.distributions.util import copy_docs_from\nfrom pyro.distributions.distribution import Distribution\nfrom torch.autograd import Function\n\n\ndef potri_compat(var):\... | [
[
"torch.zeros",
"torch.potrf",
"torch.potrs",
"numpy.log",
"torch.inverse",
"torch.potri",
"torch.mm",
"torch.diag",
"torch.gesv"
]
] |
jgwill/nst-sampling | [
"802bf887500e5df345bf9e91a7af5d27f2610d26"
] | [
"deepdream.py"
] | [
"# To add a new cell, type '# %%'\n# To add a new markdown cell, type '# %% [markdown]'\n# %%\nfrom IPython import get_ipython\n\n# %% [markdown]\n# ##### Copyright 2019 The TensorFlow Authors.\n\n# %%\n#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in ... | [
[
"tensorflow.keras.utils.get_file",
"tensorflow.keras.Model",
"tensorflow.zeros_like",
"tensorflow.clip_by_value",
"tensorflow.cast",
"tensorflow.shape",
"tensorflow.GradientTape",
"tensorflow.math.reduce_mean",
"tensorflow.constant",
"numpy.array",
"tensorflow.range",
... |
cmurray-astro/beast | [
"cbbf6a663126367632c065ae63b341bea325e2ea",
"cbbf6a663126367632c065ae63b341bea325e2ea"
] | [
"beast/plotting/plot_param_recovery.py",
"beast/physicsmodel/tests/test_grid.py"
] | [
"import numpy as np\nimport matplotlib\nimport matplotlib.pyplot as plt\nfrom astropy.io import fits\n\n\ndef plot_param_recovery(\n sim_data_list,\n stats_file_list,\n output_plot_filename,\n file_label_list=None,\n max_nbins=20,\n):\n \"\"\"\n Make plots comparing the physical parameters from... | [
[
"matplotlib.colors.LogNorm",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.close",
"matplotlib.pyplot.figure",
"numpy.atleast_1d",
"matplotlib.pyplot.tight_layout",
"matplotlib.pyplot.ylabel",
"numpy.log10",
"numpy.unique",
"matplotlib.pyplot.subplot"
],
[
"numpy.f... |
LeAlex27/nnUNet | [
"9b6912f80904af9eaa4db41cd7e5c7f20058cdde"
] | [
"nnunet/training/dataloading/dataset_loading.py"
] | [
"# Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany\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# ... | [
[
"numpy.concatenate",
"numpy.array",
"numpy.random.choice",
"numpy.random.random_integers",
"numpy.zeros",
"numpy.copy",
"numpy.load",
"numpy.save",
"numpy.savez_compressed",
"numpy.random.randint",
"numpy.unique"
]
] |
liangyy/ukb_idp_genetic_arch | [
"562612af6c82684f13e0cf2cbe2adc9a8f31b29d"
] | [
"submission/simulation/format_oy_gwas/format_oy_gwas.py"
] | [
"if __name__ == '__main__':\n import argparse\n parser = argparse.ArgumentParser(prog='format_oy_gwas.py', \n description='''\n Format GWAS output from `gw_qtl` to txt.gz files\n ''')\n parser.add_argument('--pheno_list', help='''\n The list of phenotype file tag name to ext... | [
[
"pandas.read_csv",
"pandas.read_parquet",
"pandas.merge",
"pandas.concat"
]
] |
Parag0506/SIH-TheSentinels | [
"b12032abbc0a358be4739c799fe22d910bf19f5e"
] | [
"predict_folder.py"
] | [
"import argparse\nimport os\nimport re\nimport time\n\nimport torch\nimport pandas as pd\nfrom kernel_utils import VideoReader, FaceExtractor, confident_strategy, predict_on_video_set\nfrom training.zoo.classifiers import DeepFakeClassifier\n\nif __name__ == '__main__':\n parser = argparse.ArgumentParser(\"Predi... | [
[
"pandas.DataFrame",
"torch.load"
]
] |
parkinkon1/KI-lane-detection | [
"4aec7d087d649f102bb60c98d1b3137907b3f2aa"
] | [
"focal_loss.py"
] | [
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom torch.autograd import Variable\n\nclass FocalLoss(nn.Module):\n def __init__(self, gamma=0, alpha=None, size_average=True):\n super(FocalLoss, self).__init__()\n self.gamma = gamma\n self.alpha = alpha\n # if ... | [
[
"torch.autograd.Variable",
"torch.Tensor",
"torch.nn.functional.log_softmax"
]
] |
jamill/onnxruntime | [
"0565fecf46c4dd711c01a4106641946963bf7ff0"
] | [
"onnxruntime/python/tools/quantization/calibrate.py"
] | [
"#!/usr/bin/env python\n# coding: utf-8\n# -------------------------------------------------------------------------\n# Copyright (c) Microsoft, Intel Corporation. All rights reserved.\n# Licensed under the MIT License. See License.txt in the project root for\n# license information.\n# -----------------------------... | [
[
"numpy.max",
"numpy.histogram",
"numpy.array",
"numpy.asarray",
"numpy.zeros",
"numpy.argmin",
"scipy.stats.entropy",
"numpy.hstack",
"numpy.min",
"numpy.mean",
"numpy.arange",
"numpy.absolute",
"numpy.cumsum",
"numpy.searchsorted"
]
] |
riverliuc/transformers | [
"3f51e6a35871fefbdfb705902355d7530a72d1b8"
] | [
"src/transformers/modeling_tf_utils.py"
] | [
"# coding=utf-8\n# Copyright 2018 The Google AI Language Team Authors and The 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... | [
[
"tensorflow.matmul",
"tensorflow.reshape",
"tensorflow.executing_eagerly",
"tensorflow.python.keras.backend.int_shape",
"tensorflow.keras.utils.register_keras_serializable",
"tensorflow.rank",
"tensorflow.shape",
"tensorflow.TensorShape",
"tensorflow.keras.losses.SparseCategori... |
jyf588/pytorch-rl-bullet | [
"3ac1835d01e658b2078126895ffa0eb11304abb4"
] | [
"main_sim_clean_test.py"
] | [
"import argparse\nimport copy\nimport json\nimport pickle\nimport pprint\nimport os\nimport sys\nfrom tqdm import tqdm\nfrom typing import *\nfrom my_pybullet_envs import utils\nfrom state_saver import StateSaver\n\nimport numpy as np\nimport torch\n\nimport math\n\nimport my_pybullet_envs\nfrom system import polic... | [
[
"numpy.array",
"numpy.random.seed",
"torch.no_grad",
"numpy.random.uniform",
"numpy.random.randint",
"numpy.clip"
]
] |
gitferry/bamboo-stratus | [
"e066dbdfe690478dd8fa94105eea7b4a1c9f4d58",
"e066dbdfe690478dd8fa94105eea7b4a1c9f4d58"
] | [
"stratus-plot/workload/unbalance_workload copy.py",
"stratus-plot/workload/unbalance_workload.py"
] | [
"import matplotlib.pyplot as plt\nimport numpy as np\n\nSMALL_SIZE = 8\nMEDIUM_SIZE = 13\nBIGGER_SIZE = 16\n\nplt.rc('font', size=BIGGER_SIZE) # controls default text sizes\nplt.rc('axes', titlesize=BIGGER_SIZE) # fontsize of the axes title\nplt.rc('axes', labelsize=BIGGER_SIZE) # fontsize of the x ... | [
[
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.grid",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.rc",
"numpy.arange",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.show",
"matplotlib.pyplot.bar",
"matplotlib.pyplot.xticks"
],
[
"mat... |
WayneWan413/JAQS | [
"e7362fc261f49dd7a4353c9a9a3f98d6ef9a78b4"
] | [
"example/eventdriven/DoubleMA.py"
] | [
"# encoding: utf-8\n\nfrom __future__ import print_function, division, unicode_literals, absolute_import\n\nimport time\n\nimport numpy as np\n\nfrom jaqs.data import RemoteDataService\nfrom jaqs.data.basic import Bar, Quote\nfrom jaqs.trade import (model, EventLiveTradeInstance, EventBacktestInstance, RealTimeTrad... | [
[
"numpy.mean",
"numpy.zeros"
]
] |
simplexsigil/DPC | [
"bf06939e302d9393b22f9b424abd281c535d8dbd"
] | [
"dpc/main.py"
] | [
"import argparse\nimport sys\nimport os\n\nimport matplotlib.pyplot as plt\nfrom tensorboardX import SummaryWriter\n\nplt.switch_backend('agg')\n\nsys.path.insert(0, '../utils') # If that is the way to include paths for this project, then why not also for 'backbone'?\nsys.path.insert(0, '../eval')\nsys.path.insert... | [
[
"matplotlib.pyplot.switch_backend",
"torch.device",
"torch.utils.data.RandomSampler",
"torch.no_grad",
"torch.optim.Adam",
"torch.cuda.get_device_name",
"torch.cuda.device_count",
"torch.manual_seed",
"torch.cuda.is_available",
"torch.utils.data.DataLoader"
]
] |
iceseismic/NoisePy | [
"edb7a65f4c49cb339e06eebbb13264438612bf0b"
] | [
"src/noise_module.py"
] | [
"import os\nimport glob\nimport copy\nimport obspy\nimport scipy\nimport time\nimport pycwt\nimport pyasdf\nimport datetime\nimport numpy as np\nimport pandas as pd\nfrom numba import jit\nfrom scipy.signal import hilbert\nfrom obspy.signal.util import _npts2nfft\nfrom obspy.signal.invsim import cosine_taper\nfrom ... | [
[
"numpy.dot",
"numpy.argmin",
"numpy.median",
"numpy.load",
"numpy.min",
"numpy.mean",
"numpy.exp",
"numpy.multiply",
"numpy.where",
"numpy.linalg.qr",
"numpy.sign",
"numpy.ma.abs",
"numpy.cos",
"numpy.conjugate",
"numpy.fft.irfft",
"numpy.imag",
... |
HKV-products-services/hkvfewspy | [
"918b3ff0c913d5b8334b531be4ba7076ec76d727"
] | [
"hkvfewspy/io/soap_fewspi.py"
] | [
"# coding: utf-8\n\n################################\n#### Author: Mattijn van Hoek ##\n#### While working for HKV ##\n################################\nfrom __future__ import print_function\n\nimport gzip\nimport io\nfrom datetime import datetime\nimport collections\n\n# import geopandas as gpd\nimport pandas a... | [
[
"pandas.DataFrame.from_dict",
"pandas.DataFrame"
]
] |
higorsmonteiro/vaccine-eff-fortaleza | [
"ee4465a4b767dab15773b973a19ff900f9f96a66"
] | [
"lib/db_utils.py"
] | [
"import os\nimport numpy as np\nimport pandas as pd\nimport datetime as dt\nimport lib.utils as utils\n\ndef data_hash(vacinas_foldername=\"vacinado_obito\", \n testes_foldername=\"testes_covid19\",\n hospital_foldername=\"hospitalizacao_covid19\",\n obitos_foldername=\"obitos... | [
[
"pandas.to_datetime",
"pandas.read_csv",
"pandas.isna",
"pandas.concat"
]
] |
harunlakodla/Webots-Dersleri-Tutorial | [
"41ecb83f25f48db4167544718c2ce0c107adc66f",
"41ecb83f25f48db4167544718c2ce0c107adc66f"
] | [
"Webots-dersleri-3/controllers/main/main.py",
"Webots-dersleri-2/controllers/controllers/main/main.py"
] | [
"\"\"\"main controller.\"\"\"\n\n# You may need to import some classes of the controller module. Ex:\n# from controller import Robot, Motor, DistanceSensor\nfrom controller import Robot,Motor,DistanceSensor,Lidar\nimport cv2\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport math\nimport time\n\n\nhizi=6... | [
[
"matplotlib.pyplot.polar",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.show",
"matplotlib.pyplot.pause",
"numpy.size",
"matplotlib.pyplot.clf"
],
[
"numpy.array"
]
] |
mutouretu/Dense-CoAttention-Network | [
"959d62a71589b31da53670dc0de83b26cf60463c"
] | [
"dense_coattn/data/dataset.py"
] | [
"\nimport collections\nimport os\nimport random\n\nimport h5py\nimport PIL.Image as Image\nimport torch\nimport torchvision.transforms as transforms\nfrom torch.utils.data import Dataset\n\n\nclass VisionLanguageDataset(Dataset):\n\n\tdef __init__(self, **kwargs):\n\t\tself.__dict__.update(kwargs)\n\t\tdata_path = ... | [
[
"torch.zeros",
"torch.load",
"torch.from_numpy"
]
] |
WHOIGit/nes-lter-ims | [
"d4cc96c10da56ca33286af84d669625b67170522"
] | [
"neslter/parsing/ctd/common.py"
] | [
"import re\nimport os\nimport glob as glob\n\nimport pandas as pd\n\ndef parse_lat_lon(ll):\n \"\"\"convert deg/dec minutes into dec\"\"\"\n REGEX = r'(\\d+)[^\\d]+([\\d.]+)[^NSEW]*([NSEW])'\n deg, mnts, hemi = re.match(REGEX, ll).groups()\n mult = 1 if hemi in ['N', 'E'] else -1\n deg, mnts = int(de... | [
[
"pandas.to_datetime"
]
] |
mortezaro/tr-disfluency | [
"674495ec25e63f26864b383d1e851da2f27f38e5"
] | [
"bert-crf4disf/bert_crf.py"
] | [
"#!/usr/bin/env python\n# coding: utf-8\n\n#from __future__ import unicode_literals, print_function, division\nfrom io import open\nimport unicodedata\nimport string\nimport re\nimport random\nimport pickle \nimport torch\nimport torch.nn as nn\nfrom torch import optim\nimport torch.nn.functional as F\nfrom torch.u... | [
[
"torch.nn.Linear",
"torch.nn.Dropout",
"torch.cuda.manual_seed",
"torch.cuda.manual_seed_all",
"torch.torch.no_grad",
"numpy.array",
"numpy.random.seed",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.title",
"matplotlib.pyplot.legend",
... |
sharique1006/SVM | [
"ca2fe338e376ac6334abf7283a0239f33e64a361"
] | [
"MultiScikit.py"
] | [
"import numpy as np\nfrom sklearn import svm\nfrom svmutil import *\nimport sys\n\ntrain_file = sys.argv[1]\ntest_file = sys.argv[2]\n\ndef scikitSVM(x_train, y_train, x_test, y_test, C):\n\tx = x_train\n\ty = y_train[:,0]\n\tclf = svm.SVC(C=C, kernel='rbf', gamma=0.05)\n\tclf.fit(x, y)\n\n\ttrain_acc = clf.score(x... | [
[
"sklearn.svm.SVC"
]
] |
prabhum456/determined | [
"7e8017df0f62d80d21f5483578e2d5abd0e30935"
] | [
"harness/tests/experiment/pytorch/test_reducer.py"
] | [
"import itertools\nimport logging\nimport threading\nimport traceback\nfrom collections import namedtuple\nfrom typing import Any, Callable, List\n\nimport numpy as np\nimport pytest\n\nfrom determined import _core\nfrom determined.pytorch import Reducer, _PyTorchReducerContext, _simple_reduce_metrics\n\nlogger = l... | [
[
"numpy.array"
]
] |
StrudelTAU/AutoGAN | [
"b7be77dd8ed51c2d0405f8abce556c7b9984027b"
] | [
"AutoGAN/schemes/CycleGAN_TrainingScheme.py"
] | [
"# =========================================================================================================\n# File: CycleGAN_TrainingScheme.py\n# Author: Elad Dvash\n#\n# Description:\n# This file contains an implementation of a CycleGAN (https://arxiv.org/abs/1703.10593) and a CycleWGAN -\n# a CycleGAN with an I... | [
[
"numpy.ones",
"numpy.zeros"
]
] |
ashkanalinejad/Supervised-Simultaneous-MT | [
"12c3a53887c985ae24199ecef2f7b2335fe214c6"
] | [
"SimulEval/simuleval/metrics/latency.py"
] | [
"# Copyright (c) Facebook, Inc. and its affiliates.\n# All rights reserved.\n#\n# This source code is licensed under the license found in the\n# LICENSE file in the root directory of this source tree.\n\nimport torch\nimport numbers\n\n\ndef latency_metric(func):\n def prepare_latency_metric(\n delays,\n ... | [
[
"torch.arange",
"torch.FloatTensor",
"torch.ones_like",
"torch.zeros_like",
"torch.nn.functional.pad",
"torch.sum"
]
] |
one-for-all/RoboND-Perception-Exercises | [
"be8913f03823defe9876720ef331010b8c789d34"
] | [
"Exercise-3/sensor_stick/scripts/capture_features.py"
] | [
"#!/usr/bin/env python\nimport numpy as np\nimport pickle\nimport rospy\n\nfrom sensor_stick.pcl_helper import *\nfrom sensor_stick.training_helper import spawn_model\nfrom sensor_stick.training_helper import delete_model\nfrom sensor_stick.training_helper import initial_setup\nfrom sensor_stick.training_helper imp... | [
[
"numpy.concatenate"
]
] |
a6802739/Paddle | [
"c0bda9109f11872432f7d60580b5b6a3367f2577"
] | [
"python/paddle/fluid/tests/custom_op/test_multi_out_jit.py"
] | [
"# Copyright (c) 2021 PaddlePaddle 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 re... | [
[
"numpy.random.uniform",
"numpy.zeros",
"numpy.ones"
]
] |
berkanlafci/pyoat | [
"b0cee99adde3c14c5d94f26f6e893a0b2e1fcae2"
] | [
"pyoat/_examples/exampleModel.py"
] | [
"#-----\n# Description : Example script to create model matrix\n# Date : March 2022\n# Author : Berkan Lafci\n# E-mail : lafciberkan@gmail.com\n#-----\n\n#%% Start logging\nimport logging\nlogging.basicConfig(filename='exampleModel.log', filemode='w', level=logging.INFO)\nlogging.info(' Sc... | [
[
"scipy.sparse.save_npz"
]
] |
yingshaoxo/MovingDetector | [
"b288dac2282d033559dc69e71d7e5f1d516c2e7b"
] | [
"main.py"
] | [
"# coding:utf8\nimport cv2\nimport sys\nimport numpy as np\n\ntry:\n import pyscreenshot as ImageGrab\n import pyautogui\n import time\nexcept Exception as e:\n print(e)\n\n\nclass MovingDetector():\n def __init__(self):\n pass\n\n def camera_detect(self, device=0, func=None):\n self... | [
[
"numpy.int0"
]
] |
habout632/spinningup | [
"0a2d540f61230a266a86666900570cebe7d5bc79"
] | [
"spinup/algos/td3/core.py"
] | [
"import numpy as np\nimport tensorflow as tf\n\n\ndef placeholder(dim=None):\n return tf.placeholder(dtype=tf.float32, shape=(None, dim) if dim else (None,))\n\n\ndef placeholders(*args):\n return [placeholder(dim) for dim in args]\n\n\ndef mlp(x, hidden_sizes=(32,), activation=tf.tanh, output_activation=None... | [
[
"tensorflow.concat",
"tensorflow.global_variables",
"tensorflow.variable_scope",
"tensorflow.placeholder",
"tensorflow.layers.dense"
]
] |
alastairflynn/daepy | [
"d59b8bf0748894dc0ecbb5a11d7fa4988a206ebe",
"d59b8bf0748894dc0ecbb5a11d7fa4988a206ebe"
] | [
"daepy/nonlinear.py",
"test/test_continuation.py"
] | [
"import numpy as np\nfrom scipy.linalg import norm, solve, qr, solve_triangular\nfrom scipy.sparse import csc_matrix, diags\nfrom scipy.sparse.linalg import spsolve\nimport dill\nfrom multiprocessing import Pool\nfrom .derivatives import approx_jac\n\ndef fsolve(fun, x0, jac=None, method='nleqres', tol=1e-8, maxite... | [
[
"scipy.sparse.linalg.spsolve",
"numpy.isnan",
"numpy.isclose",
"numpy.zeros",
"scipy.sparse.csc_matrix",
"numpy.copy",
"numpy.ones",
"numpy.greater_equal",
"scipy.linalg.solve_triangular",
"scipy.linalg.qr",
"numpy.argsort",
"scipy.linalg.norm",
"numpy.diag"
]... |
CxJasonT/PandasPython | [
"48d515958d5805f0e62e34b7424097e5575089a8"
] | [
"pandas/core/generic.py"
] | [
"# pyright: reportPropertyTypeMismatch=false\nfrom __future__ import annotations\n\nimport collections\nfrom datetime import timedelta\nimport functools\nimport gc\nimport json\nimport operator\nimport pickle\nimport re\nfrom typing import (\n TYPE_CHECKING,\n Any,\n Callable,\n Hashable,\n Literal,\... | [
[
"pandas.io.pickle.to_pickle",
"pandas.util._exceptions.find_stack_level",
"pandas.core.describe.describe_ndframe",
"numpy.asanyarray",
"pandas.core.construction.extract_array",
"pandas.io.formats.format.DataFrameRenderer",
"pandas.core.nanops.na_accum_func",
"pandas.io.formats.exce... |
Xin-Ye-1/HRL-GRG | [
"b36c0c3f9f7ec3a1b59925df0be514f7540ee122"
] | [
"grid_world/DQN_full/network.py"
] | [
"import tensorflow as tf\nimport tensorflow.contrib.slim as slim\n\nclass DQN_Network():\n def __init__(self,\n window_size,\n channel_size,\n num_goals,\n num_actions,\n history_steps,\n scope='global'):\n wit... | [
[
"tensorflow.contrib.slim.max_pool2d",
"tensorflow.contrib.layers.xavier_initializer",
"tensorflow.reshape",
"tensorflow.gradients",
"tensorflow.one_hot",
"tensorflow.concat",
"tensorflow.variable_scope",
"tensorflow.nn.bias_add",
"tensorflow.get_collection",
"tensorflow.nn.... |
mbd334/Gender_Rec | [
"e76bb9969226cc3fa68005d717ca9040f00f7789"
] | [
"s3fd.py"
] | [
"import torch\nimport torch.nn as nn\nfrom torch.autograd import Variable\nimport torch.nn.functional as F\n\nclass L2Norm(nn.Module):\n def __init__(self,n_channels, scale=1.0):\n super(L2Norm,self).__init__()\n self.n_channels = n_channels\n self.scale = scale\n self.eps = 1e-10\n ... | [
[
"torch.cat",
"torch.max",
"torch.nn.Conv2d",
"torch.nn.functional.max_pool2d",
"torch.Tensor",
"torch.chunk"
]
] |
ArthurCamara/beir | [
"2739990b719f2d4814d88473cf9965d92d4f4c18"
] | [
"examples/benchmarking/benchmark_sbert.py"
] | [
"from beir import util, LoggingHandler\nfrom beir.retrieval import models\nfrom beir.datasets.data_loader import GenericDataLoader\nfrom beir.retrieval.search.dense import util as utils\n\nimport pathlib, os, sys\nimport numpy as np\nimport torch\nimport logging\nimport datetime\n\n#### Just some code to print debu... | [
[
"torch.topk"
]
] |
IBM/sau-explore | [
"dfeff8192292afeca7c17927684a3ed9fe65b97f"
] | [
"datasets/financial_bandit.py"
] | [
"from pathlib import Path\nfrom typing import Tuple\n\nimport numpy as np\nimport pandas as pd\nimport torch\n\nfrom .bandits import DataBasedBandit\nfrom .utils import download_data\n\nURL = \"https://storage.googleapis.com/bandits_datasets/raw_stock_contexts\"\n\n\nclass FinancialDataBandit(DataBasedBandit):\n ... | [
[
"numpy.max",
"numpy.random.normal",
"numpy.dot",
"numpy.linalg.norm",
"numpy.random.uniform",
"torch.tensor",
"pandas.read_csv"
]
] |
prithv1/allenact | [
"f29dd6f0ec62425b02ca07fee815b1a82627a28e"
] | [
"projects/tutorials/object_nav_ithor_ppo_one_object.py"
] | [
"from math import ceil\nfrom typing import Dict, Any, List, Optional\n\nimport gym\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.optim as optim\nfrom torch.optim.lr_scheduler import LambdaLR\n\nfrom core.algorithms.onpolicy_sync.losses import PPO\nfrom core.algorithms.onpolicy_sync.losses.p... | [
[
"numpy.linspace",
"torch.cuda.is_available",
"torch.cuda.device_count"
]
] |
raviqqe/qnd.tf | [
"fab2bd93b1b2b2a15fd6eac8d30ede382522c368"
] | [
"qnd/experiment.py"
] | [
"import tensorflow as tf\n\nfrom .flag import FlagAdder\nfrom .estimator import def_estimator\nfrom .inputs import def_def_train_input_fn, def_def_eval_input_fn\n\n\ndef def_def_experiment_fn(batch_inputs=True,\n prepare_filename_queues=True,\n distributed=False):\n... | [
[
"tensorflow.contrib.learn.make_export_strategy"
]
] |
guanjue/S3V2_IDEAS_ESMP | [
"c0b1720344aefbdc257c02ceb70b9fc06e52b4b0"
] | [
"bin/get_macs2pk.pipemultithreads.py"
] | [
"import os\nimport numpy as np\nimport subprocess\nfrom subprocess import call\nfrom multiprocessing import Pool\n\n################################################################################################\n### read 2d array\ndef read2d_array(filename,dtype_used):\n\timport numpy as np\n\tdata=open(filename,... | [
[
"numpy.repeat",
"numpy.array"
]
] |
yash1802/TensorBot | [
"3b4820f5a1e937bbea60905fd4c125da7abfecd4"
] | [
"training.py"
] | [
"import pickle\n\nimport tensorflow as tf\nimport tflearn\n\nimport data\n\ntrain_x, train_y, words, classes = data.get_training_data()\n\n# Reset underlying graph data\ntf.reset_default_graph()\n\n\ndef build_model():\n # Init model\n net = tflearn.input_data(shape=[None, len(train_x[0])])\n net = tflearn... | [
[
"tensorflow.reset_default_graph"
]
] |
SANCHES-Pedro/Diff-SCM | [
"a7e7e6ed3a2cd1c21e3bf7a3ed8ed8b29a22cb69"
] | [
"utils/logger.py"
] | [
"\"\"\"\nLogger copied from OpenAI baselines to avoid extra RL-based dependencies:\nhttps://github.com/openai/baselines/blob/ea25b9e8b234e6ee1bca43083f8f3cf974143998/baselines/logger.py\n\"\"\"\n\nimport os\nimport sys\nimport shutil\nimport os.path as osp\nimport json\nimport time\nimport datetime\nimport tempfile... | [
[
"torch.utils.tensorboard.SummaryWriter"
]
] |
baojianzhou/sparse-learn | [
"ed01f2c3d518c0c48652bc4fe4dc552ba3d5a427"
] | [
"sparse_learn/examples/example_test_proj.py"
] | [
"# -*- coding: utf-8 -*-\nimport numpy as np\nfrom sparse_learning.proj_algo import head_proj\nfrom sparse_learning.proj_algo import tail_proj\nfrom sparse_learning.fast_pcst import fast_pcst\nfrom sparse_learning.graph_utils import simu_graph\n\ndef test_proj_head():\n print('-' * 100)\n edges, weights = sim... | [
[
"numpy.random.normal",
"numpy.zeros"
]
] |
SandrineP/pandas | [
"9444dce96954c546333d5aecc92a06c3bfd19aa5"
] | [
"pandas/tests/test_compat.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nTesting that functions from compat work as expected\n\"\"\"\n\nimport pytest\nimport re\nfrom pandas.compat import (range, zip, map, filter, lrange, lzip, lmap,\n lfilter, builtins, iterkeys, itervalues, iteritems,\n next, get_ran... | [
[
"pandas.compat.builtins.zip",
"pandas.compat.itervalues",
"pandas.compat.lmap",
"pandas.compat.zip",
"pandas.compat.iteritems",
"pandas.compat.iterkeys",
"pandas.compat.builtins.map",
"pandas.compat.lrange",
"pandas.compat.builtins.filter",
"pandas.compat.map",
"pandas.... |
ccarocean/python-contours | [
"d154a679a2ea6a324c3308c1d087d88d0eb79622"
] | [
"contours/core.py"
] | [
"# -* coding: utf-8 -*-\n\"\"\"Common enums, functions, and classes for the `contours` package.\"\"\"\n\n# Python 2 support\n# pylint: disable=redefined-builtin,unused-wildcard-import,wildcard-import\nfrom __future__ import (absolute_import, division,\n print_function, unicode_literals)\nfrom... | [
[
"numpy.all",
"numpy.finfo",
"numpy.nonzero",
"numpy.any"
]
] |
lissrbay/bugml | [
"6a3823e32c176de9d3a47416a220e7d83d38763d"
] | [
"new/training/torch_training.py"
] | [
"from typing import List, Any\n\nimport pytorch_lightning as pl\nimport torch\nfrom pytorch_lightning import Trainer\nfrom torch.optim import Adam\nfrom torchmetrics import MetricCollection\n\nfrom new.data.report import Report\nfrom new.model.lstm_tagger import LstmTagger\nfrom new.training.data import ReportsData... | [
[
"torch.cat",
"torch.no_grad",
"torch.nn.Softmax"
]
] |
phongsathorn1/pretty-confusion-matrix | [
"6fd5b2057e3669b680e90ca568504e7acf271202"
] | [
"pretty_cm.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nplot a pretty confusion matrix with seaborn\n\nCreated on Mon Jun 25 14:17:37 2018\n@author: Wagner Cipriano - wagnerbhbr - gmail - CEFETMG / MMC\nREFerences:\n https://www.mathworks.com/help/nnet/ref/plotconfusion.html\n https://stackoverflow.com/questions/28200786/how-to-plot-s... | [
[
"sklearn.metrics.confusion_matrix",
"numpy.array",
"matplotlib.font_manager.FontProperties",
"pandas.DataFrame",
"numpy.sum",
"matplotlib.pyplot.figure",
"matplotlib.pyplot.tight_layout",
"matplotlib.pyplot.show",
"numpy.unique",
"matplotlib.colors.LinearSegmentedColormap.f... |
open-mmlab/MMGEN-FaceStylor | [
"67e7b17a323ac5a3eae28b88e0b2c921876b50ca"
] | [
"agilegan/architectures/generator_discriminator.py"
] | [
"import random\n\nimport mmcv\nimport torch\nfrom mmgen.models.architectures.common import get_module_device\nfrom mmgen.models.architectures.stylegan.generator_discriminator_v2 import \\\n StyleGANv2Generator\nfrom mmgen.models.builder import MODULES\n\n\n@MODULES.register_module()\nclass SwapStyleGANv2Generato... | [
[
"torch.cat",
"torch.randn"
]
] |
NetherlandsForensicInstitute/lr-benchmark | [
"67aaafdb466efbbe6171992279dceac5de064584"
] | [
"tests/test_dataset.py"
] | [
"import numpy as np\nimport pytest\n\nfrom lrbenchmark.dataset import InMemoryCommonSourceKFoldDataset\n\n\n@pytest.fixture\ndef X() -> np.ndarray:\n return np.reshape(np.array(list(range(25))), (5, 5))\n\n\n@pytest.fixture\ndef y() -> np.ndarray:\n return np.array(['a', 'b', 'c', 'd', 'e'])\n\n\ndef test_get... | [
[
"numpy.array",
"numpy.intersect1d"
]
] |
GeoStat-Framework/ogs5py | [
"2bc4428c4c485d094e02c129ba5051745df58391"
] | [
"ogs5py/fileclasses/pct/core.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"Class for the ogs PARTICLE DEFINITION file for RANDOM_WALK.\"\"\"\nimport numpy as np\nfrom ogs5py.fileclasses.base import File\n\n\nclass PCT(File):\n \"\"\"\n Class for the ogs Particle file, if the PCS TYPE is RANDOM_WALK.\n\n Parameters\n ----------\n data : np.arr... | [
[
"numpy.array",
"numpy.loadtxt",
"numpy.savetxt",
"numpy.zeros"
]
] |
marrov/UQpy | [
"b04a267b3080e3d4d38e876547ba0d3b979734f3"
] | [
"src/UQpy/Reliability/TaylorSeries/TaylorSeries.py"
] | [
"import numpy as np\nfrom UQpy.Distributions import *\nfrom UQpy.RunModel import RunModel\nfrom UQpy.Transformations import *\n\n########################################################################################################################\n#################################################################... | [
[
"numpy.array",
"numpy.diag",
"numpy.zeros"
]
] |
adarob/jax | [
"d75becbf676e392bcf08e91594e8495bbc39317d"
] | [
"tests/lax_test.py"
] | [
"# Copyright 2018 Google LLC\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# https://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed ... | [
[
"numpy.full",
"numpy.array",
"numpy.pad",
"numpy.asarray",
"numpy.zeros",
"numpy.lexsort",
"numpy.ones",
"numpy.take",
"numpy.swapaxes",
"numpy.arange",
"numpy.prod",
"numpy.int32",
"numpy.issubdtype",
"numpy.dtype",
"numpy.flip",
"numpy.int16"
]
] |
Dee-Why/lite-bo | [
"011791aba4e44b20a6544020c73601638886d143",
"011791aba4e44b20a6544020c73601638886d143"
] | [
"openbox/optimizer/base.py",
"openbox/utils/multi_objective/pareto.py"
] | [
"# License: MIT\n\nimport os\nimport abc\nimport time\nimport numpy as np\nfrom typing import List\nfrom collections import OrderedDict\nfrom openbox.utils.logging_utils import setup_logger, get_logger\n\n\nclass BOBase(object, metaclass=abc.ABCMeta):\n def __init__(self, objective_function, config_space, task_i... | [
[
"numpy.random.RandomState"
],
[
"numpy.any",
"numpy.arange",
"numpy.sum",
"numpy.expand_dims"
]
] |
TomLouisKeller/tensorlayer | [
"690766535a591367ad86907835b39730f4aa1dea"
] | [
"tests/test_mnist_simple.py"
] | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\nimport os\nimport unittest\n\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n\nimport tensorflow as tf\nimport tensorlayer as tl\n\nfrom tests.utils import CustomTestCase\n\n\nclass Simple_MNIST_Test(CustomTestCase):\n\n @classmethod\n def setUpClass(cls):\n\n ... | [
[
"tensorflow.logging.set_verbosity",
"tensorflow.train.AdamOptimizer",
"tensorflow.argmax",
"tensorflow.reset_default_graph",
"tensorflow.Session",
"tensorflow.placeholder",
"tensorflow.cast"
]
] |
dfridman1/ml_lib | [
"50104b3e1f59dc1fd70cee376f62e3c355dceb4d"
] | [
"ml_lib/tree/decision_tree.py"
] | [
"import numpy as np\nfrom abc import ABC, abstractmethod\nfrom ml_lib.base.estimator import Estimator\n\n\nclass DecisionTree(Estimator):\n def __init__(self, max_depth=-1):\n self.max_depth = max_depth\n self._node = None\n\n def fit(self, X, y):\n self._node = self._build_tree(X, y, dep... | [
[
"numpy.arange"
]
] |
jie311/yolox_keypoint_segment | [
"1abd649424ecf66d6691b25a836cbb3261f33ee7"
] | [
"datasets/plate_kp/voctococo.py"
] | [
"#coding:utf-8\n \n# pip install lxml\n \nimport os\nimport glob\nimport json\nimport shutil\nimport numpy as np\nimport xml.etree.ElementTree as ET\n \n \n \npath2 = \".\"\n \n \nSTART_BOUNDING_BOX_ID = 1\n \n \ndef get(root, name):\n return root.findall(name)\n \n \ndef get_and_check(root, name, length):\n ... | [
[
"numpy.random.seed",
"numpy.sort",
"numpy.random.shuffle"
]
] |
smoothScorpion/Angle | [
"86bc4d1c2bb6a8a4351ffd2db9b69ac1b95f0d71"
] | [
"rotate.py"
] | [
"import cv2\nimport numpy as np\nimport imutils\nimport matplotlib.pyplot as plt\n\nmatrix_test = None\nperimeters=[]\nimg=cv2.imread(\"Images/LinkRotated.jpg\",1)\nimg_height,img_width=img.shape[:2]\nblur_img = cv2.bilateralFilter(img,1,75,75)\ngrey_img=cv2.cvtColor(blur_img,cv2.COLOR_BGR2GRAY)\n_,thresh_img=cv2.t... | [
[
"numpy.array",
"numpy.sin",
"numpy.cov",
"numpy.zeros",
"matplotlib.pyplot.plot",
"numpy.nonzero",
"numpy.mean",
"numpy.tanh",
"numpy.vstack",
"numpy.linalg.eig",
"numpy.argsort",
"numpy.cos",
"matplotlib.pyplot.axis",
"matplotlib.pyplot.show",
"matplotl... |
swapnilgarg7/Face-X | [
"fab21bf667fa7387b8e73e5a1d72fcba4fba2818",
"fab21bf667fa7387b8e73e5a1d72fcba4fba2818",
"fab21bf667fa7387b8e73e5a1d72fcba4fba2818"
] | [
"Face-Detection/Deep Dense Face Detection/face/test_processing.py",
"Face-Detection/Face detection using probabilistic-modelling/Adaboost/ada_boost.py",
"Face-Mask-Detection/Face Mask Detection using FaceNet/contributed/align/detect_face.py"
] | [
"\"\"\"\nTests for face.processing module\n\"\"\"\n\nimport numpy as np\n\nimport face.processing\n\n\ndef test_scale_image_keeping_aspect_ratio_vertial_image():\n\n image = np.zeros(shape=[10, 20])\n target_size = 30\n\n # Vertical dimension smaller\n rescaled_image = face.processing.scale_image_keepin... | [
[
"numpy.zeros"
],
[
"numpy.full",
"numpy.zeros",
"numpy.sum",
"numpy.ones",
"numpy.exp",
"numpy.unique",
"numpy.expand_dims"
],
[
"numpy.minimum",
"tensorflow.compat.v1.disable_v2_behavior",
"tensorflow.compat.v1.nn.bias_add",
"numpy.tile",
"numpy.load",
... |
amarburg/libdraw_sonar | [
"b7203d7a9aedee0a01779b5269ddcfe503f7971f"
] | [
"scripts/sonar_pointcloud.py"
] | [
"#! /usr/bin/env python3\n\nimport rospy\nimport struct\nimport time\n\nfrom matplotlib import cm\nimport numpy as np\n\nfrom acoustic_msgs.msg import SonarImage\nfrom sensor_msgs.msg import PointCloud2, PointField\nfrom std_msgs.msg import Header\n\nfrom sensor_msgs import point_cloud2\n\n\nclass SonarTranslator(o... | [
[
"numpy.sin",
"matplotlib.cm.inferno",
"numpy.radians",
"numpy.arange",
"numpy.cos"
]
] |
DrNeilSmith/cog | [
"7fc6ee4790ab68f22828dd5550a616ac8a3c3423"
] | [
"test/bench.py"
] | [
"from cog.core import Table, Record\nfrom cog.core import Table\nfrom cog import config\nimport logging\nimport os\nimport shutil\nfrom logging.config import dictConfig\nimport string\nimport random\nimport timeit\nimport unittest\nimport matplotlib.pyplot as plt\nimport subprocess\nfrom pathlib import Path\n\n#!!!... | [
[
"matplotlib.pyplot.annotate",
"matplotlib.pyplot.xlim",
"matplotlib.pyplot.ylim",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.ylabel"
]
] |
dangminh3107/models | [
"9f7aaaff71256ad10f26490ec5d59dd731c0f164"
] | [
"research/deeplab/convert_to_tflite.py"
] | [
"# Copyright 2018 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 requi... | [
[
"tensorflow.graph_util.import_graph_def",
"tensorflow.io.gfile.GFile",
"tensorflow.Graph",
"tensorflow.lite.Interpreter",
"tensorflow.compat.v1.lite.TFLiteConverter.from_session",
"numpy.mean",
"tensorflow.compat.v1.Session",
"numpy.expand_dims"
]
] |
Kwonil-Kim/kkpy | [
"ba035930e811b5caf081673e4c8a81b98bb1a904"
] | [
"examples/plot_cmap.py"
] | [
"\"\"\"\nPlotting Colormaps\n======================\n\nShow all colormaps in kkpy\n\"\"\"\n\nimport kkpy\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\nimport inspect\n\n# Get all available cmaps\ndef available_functions(module):\n func_list_with_underscore = [x.__name__ for x in module.__dict__.val... | [
[
"matplotlib.pyplot.show",
"matplotlib.colorbar.ColorbarBase",
"matplotlib.pyplot.subplot"
]
] |
upb-lea/gym-electric-motor | [
"f906b1c98205154c7e4ca53c5b372d4be7d1b5f8"
] | [
"gym_electric_motor/reference_generators/wiener_process_reference_generator.py"
] | [
"import numpy as np\r\n\r\nfrom .subepisoded_reference_generator import SubepisodedReferenceGenerator\r\n\r\n\r\nclass WienerProcessReferenceGenerator(SubepisodedReferenceGenerator):\r\n \"\"\"Reference Generator that generates a reference for one state by a Wiener Process with the changing parameter\r\n sigm... | [
[
"numpy.log10",
"numpy.zeros_like"
]
] |
ourobouros/cortex | [
"1b3aaf909816b93f6a6e3edd0da8c10891e05be9"
] | [
"test/tensorflow/license-plate-reader/utils/bbox.py"
] | [
"# WARNING: you are on the master branch; please refer to examples on the branch corresponding to your `cortex version` (e.g. for version 0.24.*, run `git checkout -b 0.24` or switch to the `0.24` branch on GitHub)\n\nimport numpy as np\nimport cv2\nfrom .colors import get_color\n\n\nclass BoundBox:\n def __init... | [
[
"numpy.array",
"numpy.argmax"
]
] |
WuLabMDA/HelloDL | [
"96ede3a83d1c88091dacf49ddcecbe1e30d84f04"
] | [
"main.py"
] | [
"# -*- coding: utf-8 -*-\n\nimport os, sys\nimport argparse\nimport numpy as np\nimport torch\nfrom torchvision import datasets, transforms\nfrom torch import optim\nfrom torch.optim import lr_scheduler\n\nfrom model import Net\nfrom train_eng import net_train\nfrom test_eng import net_test\n\n\ndef parse_args():\n... | [
[
"torch.optim.lr_scheduler.StepLR",
"numpy.random.seed",
"torch.manual_seed",
"torch.cuda.is_available",
"torch.utils.data.DataLoader"
]
] |
tevnpowers/thesis | [
"af55bb47db34d90fcef1de073d16a6a0dff43161"
] | [
"tests/sklearn_svm.py"
] | [
"import pickle\n\nfrom sklearn.pipeline import Pipeline\nfrom sklearn.preprocessing import LabelEncoder\nfrom sklearn.linear_model import SGDClassifier\nfrom sklearn.feature_extraction.text import TfidfVectorizer\n\nfrom text_studio.model import Model\n\n\nclass Sklearn_SVM(Model):\n def setup(self, tokenizer=No... | [
[
"sklearn.preprocessing.LabelEncoder",
"sklearn.linear_model.SGDClassifier",
"sklearn.feature_extraction.text.TfidfVectorizer"
]
] |
steuwe/deephar | [
"85efc43b7c166339f9655cf322a40dde242bad27"
] | [
"deephar/models/spnet.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"SPNet v1 model for Keras.\n\"\"\"\nimport numpy as np\nimport sys\n\nfrom keras.models import Model\n\nfrom ..config import ModelConfig\nfrom ..losses import pose_regression_loss\nfrom ..layers import *\nfrom ..utils import *\nfrom .blocks import *\n\nfrom .common import residual\nfr... | [
[
"numpy.ceil",
"numpy.random.rand"
]
] |
volpepe/DisNet | [
"c6fe25d9640ac69380f21bd193cbfebd6643905b"
] | [
"Train_DisNet_RNN.py"
] | [
"import os\nimport numpy as np\nimport json\nimport tensorflow as tf\n\nimport keras.backend as k\nfrom keras.layers import *\nfrom keras.layers import InputLayer, Input\nfrom keras.models import Sequential, Model, load_model\nfrom keras.layers import concatenate\nfrom keras.optimizers import Adam\nfrom keras.callb... | [
[
"numpy.square",
"numpy.array",
"sklearn.preprocessing.StandardScaler",
"sklearn.externals.joblib.dump",
"numpy.load",
"numpy.save",
"sklearn.model_selection.StratifiedShuffleSplit"
]
] |
nemonameless/mmkp | [
"3758c48c7a6568e04d5a01b79f12baf12abcc420"
] | [
"mmdet/models/detectors/two_stage_keypoint.py"
] | [
"import torch\nimport torch.nn as nn\n\nfrom mmdet.core import bbox2result, bbox2roi, build_assigner, build_sampler\nfrom .. import builder\nfrom ..registry import DETECTORS\nfrom .base import BaseDetector\nfrom .test_mixins import BBoxTestMixin, MaskTestMixin, RPNTestMixin\n\n\n@DETECTORS.register_module\nclass Tw... | [
[
"torch.zeros",
"torch.cat",
"torch.randn",
"torch.ones"
]
] |
asreview/paper-guidelines-KIFMS | [
"e056573791bfbdd339fa5ffd628a6443fdf220fb"
] | [
"scripts/split_data_with_multiple_labels.py"
] | [
"\"\"\"Split data with multiple labels\r\n\r\nSplit data into multiple datasets\r\n\r\nExample\r\n-------\r\n\r\n2 label columns:\r\n\r\n>>> python split_data_with_multiple_labels.py ptsd.csv output --split label_included label_abstract_screening --suffix final tiab\r\n\r\n3 label columns:\r\n\r\n>>> python split_d... | [
[
"pandas.read_csv"
]
] |
ed-ortizm/autoencoders | [
"f1f6e9d1001b9de595907a17238c2eada6b57c16"
] | [
"latent/pair_plots.py"
] | [
"\"\"\"Pair plot between variables of latent space\"\"\"\nfrom configparser import ConfigParser, ExtendedInterpolation\nimport glob\nimport time\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport pandas as pd\nimport seaborn as sns\n\nfrom sdss.utils.managefiles import FileDirectory\nfrom sdss.utils.con... | [
[
"pandas.read_csv",
"numpy.load",
"matplotlib.pyplot.subplots"
]
] |
dmitryshendryk/tantum | [
"afd07e7a52d65338297a4f46d26e5241d3e756dc"
] | [
"tantum/libs/fmix/models/resnet.py"
] | [
"# Code modified from https://github.com/kuangliu/pytorch-cifar\n\n'''ResNet in PyTorch.\n\nBasicBlock and Bottleneck module is from the original ResNet paper:\n[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun\n Deep Residual Learning for Image Recognition. arXiv:1512.03385\n\nPreActBlock and PreActBottlene... | [
[
"torch.nn.Linear",
"torch.nn.Sequential",
"torch.nn.BatchNorm2d",
"torch.nn.functional.adaptive_avg_pool2d",
"torch.nn.Conv2d",
"torch.nn.functional.relu",
"torch.randn"
]
] |
sm047/detectron2 | [
"1036cce320ce0f2adbce7f143566462d3222bd5a"
] | [
"projects/Alleria/alleria/data/augmentation.py"
] | [
"#!/usr/bin/env python3\n# @Time : 31/5/20 7:49 PM\n# @Author : fangcheng.ji\n# @FileName: augmentation.py\n\nimport numpy as np\nimport random\nimport cv2\nimport math\n\nimport albumentations as A\nimport albumentations.augmentations.functional as AF\n\n\ndef get_albumentations_train_transforms():\n return... | [
[
"numpy.array",
"numpy.minimum",
"numpy.ones",
"numpy.eye",
"numpy.random.uniform",
"numpy.arange",
"numpy.clip",
"numpy.maximum"
]
] |
StoneT2000/WALL-E-RL | [
"9d22ba941291e4d3536c44b28e08b98dbfe0d442"
] | [
"paper_rl/modelfree/ppo/ppo.py"
] | [
"import math\nimport time\nimport warnings\nfrom typing import Any, Dict, Optional, Type, Union\n\nimport gym\nimport numpy as np\nimport torch\nfrom gym import spaces\nfrom torch import optim\nfrom torch.nn import functional as F\n\nfrom paper_rl.architecture.ac.core import ActorCritic, count_vars\nfrom paper_rl.c... | [
[
"torch.device",
"torch.min",
"torch.no_grad",
"torch.clamp",
"torch.as_tensor",
"torch.exp"
]
] |
MarcinStachowiak/CIFAR-10_challange | [
"3fd114eddf2577c3b1f718ccba0aacbefc7d26f1"
] | [
"dim_reduction_service.py"
] | [
"import random\n\nimport matplotlib.pyplot as plt\nfrom sklearn.decomposition import PCA\nfrom sklearn.manifold import TSNE\n\n__author__ = \"Marcin Stachowiak\"\n__version__ = \"1.0\"\n__email__ = \"marcin.stachowiak.ms@gmail.com\"\n\ndef reduce_dim_PCA(X, Y, class_names, n_components=2, visualise=False):\n if ... | [
[
"matplotlib.pyplot.title",
"matplotlib.pyplot.legend",
"sklearn.manifold.TSNE",
"matplotlib.pyplot.figure",
"matplotlib.pyplot.scatter",
"matplotlib.pyplot.show",
"sklearn.decomposition.PCA"
]
] |
florian6973/smartglove-pi | [
"f3f5881ac718772852421165b9903f2b9140b8f1"
] | [
"cam_show.py"
] | [
"import cv2\nimport numpy as np\nimport random as rd\n\nk = 2\n\n\n\n\n\nwhile True :\n img = np.zeros([768//k,1024//k])\n\n img[rd.randint(0, 768)//k:, rd.randint(0, 1024)//k:] = 1\n\n\n cv2.imshow(\"image\", img)\n cv2.waitKey(10)"
] | [
[
"numpy.zeros"
]
] |
khoauit99/open-NMT-test | [
"ece4d485b04e79d4f2679b7d96720195bb1b292f"
] | [
"tokenize/tokenize_nhap.py"
] | [
"import sentencepiece as spm \nfrom sklearn.model_selection import ShuffleSplit\nfrom traceback import format_exc as _format_exc\n\ns = spm.SentencePieceProcessor('data/jpa_wiki_100000.model')\n\n#file1 = open('jyp_train.txt', 'r')\n#Lines = file1.readlines()\n\n# for i in Lines:\n# print(i)\n\npath_input_eng =... | [
[
"sklearn.model_selection.ShuffleSplit"
]
] |
ibrsam/pyiron | [
"14ffbc2bba6e13738e2d995cbe3f900df3946b1f"
] | [
"pyiron/atomistics/job/atomistic.py"
] | [
"# coding: utf-8\n# Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department\n# Distributed under the terms of \"New BSD License\", see the LICENSE file.\n\nfrom ase.io import write as ase_write\nimport copy\n\nimport numpy as np\nimport warnings\n\nfrom pyiron.atom... | [
[
"numpy.max",
"numpy.array",
"numpy.linalg.norm",
"numpy.place",
"numpy.copy",
"numpy.rint",
"numpy.mean",
"numpy.eye",
"numpy.einsum",
"numpy.abs",
"numpy.cumsum",
"numpy.linalg.inv",
"numpy.argwhere"
]
] |
enriqueescobar-askida/Kinito.Finance | [
"5308748b64829ac798a858161f9b4a9e5829db44"
] | [
"AlgorithmicTradingAndQuantitativeAnalysis/Examples/73_fx_macd_renk.py"
] | [
"# =============================================================================\n# Automated trading script I - MACD\n# Author : Mayank Rasu\n\n# Please report bug/issues in the Q&A section\n# =============================================================================\n\nimport fxcmpy\nimport numpy as np\nfrom s... | [
[
"numpy.where",
"numpy.array"
]
] |
thayerAlshaabi/radiomics | [
"306c411163674fc84bf79784e2ffb2be15dd40bf"
] | [
"src/utils.py"
] | [
"# coding: utf-8\n\n\"\"\" MIT License \"\"\"\n'''\n Axel Masquelin & Sami Connolly \n Andrea Elhajj & Thayer Alshaabi\n ---\n Description:\n Misceleanous functions to assist in the evaluation of individuals, creating visuals,\n and csv file save. \n ---\n Copyright (c) 2018\n'''\n\n# libr... | [
[
"matplotlib.pyplot.xlim",
"numpy.minimum",
"numpy.mean",
"pandas.concat",
"matplotlib.pyplot.xticks",
"pandas.DataFrame",
"numpy.interp",
"matplotlib.pyplot.fill_between",
"matplotlib.pyplot.title",
"matplotlib.pyplot.yticks",
"matplotlib.pyplot.figure",
"numpy.std"... |
quantumsoul/j_component_iot_obj_detection | [
"d6c6f51971c581d7385335f04d5a9268d81527db"
] | [
"yolo_utils.py"
] | [
"import colorsys\r\nimport imghdr\r\nimport os\r\nimport random\r\nfrom keras import backend as K\r\n\r\nimport numpy as np\r\nfrom PIL import Image, ImageDraw, ImageFont\r\n\r\n\r\ndef read_classes(classes_path):\r\n with open(classes_path) as f:\r\n class_names = f.readlines()\r\n class_names = [c.st... | [
[
"numpy.array",
"numpy.expand_dims",
"numpy.floor"
]
] |
HKH515/EEG_classification | [
"732b66eca08e434672c74dcd93212542a7042e18"
] | [
"code/eda.py"
] | [
"import os\nimport h5py\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport datetime as dt\nimport collections\nimport librosa\nimport sys\n\npath = sys.argv[1]\n\ndata = np.load(path, allow_pickle=True)\n\nx = data['x']\ny = data['y']\n\nfig_1 = plt.figure(figsize=(12, 6))\nplt.plot(x[100, ...].ravel())\n... | [
[
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.title",
"numpy.load",
"matplotlib.pyplot.figure",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.show"
]
] |
TashinAhmed/Computer-Vision-Research | [
"bc26136c12f5954b8540f566792ef60a945effb8"
] | [
"ThirdShield/Parking_Slot_YOLO.py"
] | [
"from utilities import assign_next_frame ,get_data\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom PIL import Image as PILImage\nfrom PIL import ImageFont, ImageDraw\nfrom tqdm import tqdm_notebook as tqdm\nimport cv2\nfrom datetime import datetime\n\nfrom yolo import YOLO \nfrom r... | [
[
"numpy.array",
"numpy.fill_diagonal",
"pandas.DataFrame",
"matplotlib.pyplot.title",
"matplotlib.pyplot.close",
"matplotlib.pyplot.figure",
"numpy.argmax",
"numpy.sort",
"numpy.sqrt",
"numpy.floor",
"matplotlib.pyplot.show",
"numpy.tril",
"matplotlib.pyplot.imsh... |
QinXingli/Vehicle-Car-detection-and-multilabel-classification | [
"0b0ab3ad8478c5a0ac29819b4fce3ae110d44d82"
] | [
"train_vehicle_multilabel.py"
] | [
"# coding: utf-8\r\n\r\nimport os\r\nimport re\r\nimport shutil\r\nimport time\r\nimport pickle\r\nimport torch\r\nimport torchvision\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nimport dataset\r\nfrom dataset import color_attrs, direction_attrs, type_attrs\r\n\r\nfrom copy import deepcopy\r\nfrom PI... | [
[
"torch.nn.Linear",
"torch.cat",
"torch.nn.init.kaiming_normal_",
"torch.cuda.is_available",
"torch.load",
"torch.transpose",
"torch.nn.CrossEntropyLoss",
"torch.sqrt",
"torch.nn.init.constant_",
"torch.manual_seed",
"torch.utils.data.DataLoader",
"torch.equal",
... |
iKernels/reasoning-baselines | [
"7b62145c01c3802382a880f6efa699c39f3d3c88"
] | [
"ikernels_core/readers/fever/fever_local_kgat_fmt_json_reader.py"
] | [
"from typing import Iterator\nfrom allennlp.data import Instance\nfrom allennlp.data.dataset_readers import DatasetReader\nimport pandas as pd\nfrom ikernels_core.readers.base.instance_generator import InstanceGenerator\nimport logging\n\nlogger = logging.getLogger(__name__)\nfrom ikernels_core.readers.fever.kgat_r... | [
[
"pandas.read_json"
]
] |
matthewstidham/VideosSampleCode | [
"9eec145ac6fffb11d2a51356fb65d74ecd721d50"
] | [
"videos/081_cache_and_branch_prediction/src/plots.py"
] | [
"import json\nimport pandas as pd\n\nimport plotly.express as px\n\n\ndef load_json(filename):\n with open(filename, encoding='utf-8') as f:\n return json.load(f)\n\n\ndef load_json_df(filename):\n j = load_json(filename)[\"benchmarks\"]\n df = pd.DataFrame(j)\n df['real_time_micros'] = df['real_... | [
[
"pandas.DataFrame"
]
] |
tommorse/nrn | [
"73236b12977118ae0a98d7dbbed60973994cdaee"
] | [
"share/lib/python/neuron/rxdtests/tests/pure_diffusion.py"
] | [
"\"\"\"test of pure diffusion\n\nRobert A McDougal\nMarch 2013 - June 2014\n\"\"\"\n\nfrom neuron import h, crxd as rxd\nfrom matplotlib import pyplot\nimport numpy\nimport __main__\n\nname = __main__.__file__\nif name[-3 :] == '.py':\n name = name[: -3]\n\nh.load_file('stdrun.hoc')\n\ndend = h.Section()\ndend.d... | [
[
"matplotlib.pyplot.plot",
"matplotlib.pyplot.tight_layout"
]
] |
AiHaibara/Trans | [
"e37cc946ab3ecbc8e016b3cdfebff1be1cf93f01"
] | [
"transweb/processimg.py"
] | [
"import glob\nimport os\nimport random\nimport sys\nimport random\nimport math\nimport json\nfrom collections import defaultdict\n\nfrom cv2 import cv2\nfrom PIL import Image, ImageDraw\nimport numpy as np\nfrom scipy.ndimage.filters import rank_filter\n\n\ndef dilate(ary, N, iterations): \n \"\"\"Dilate using a... | [
[
"numpy.uint8",
"numpy.asarray",
"numpy.zeros",
"numpy.minimum",
"numpy.sum",
"numpy.mean",
"scipy.ndimage.filters.rank_filter",
"numpy.int0"
]
] |
HatsuneMiku4/transformers | [
"ee5a5b6be825a9e3ac539485e7dea7601ad57653",
"ee5a5b6be825a9e3ac539485e7dea7601ad57653"
] | [
"tests/test_modeling_roberta.py",
"src/transformers/models/longformer/modeling_tf_longformer.py"
] | [
"# coding=utf-8\n# Copyright 2018 The Google AI Language Team 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# Unl... | [
[
"torch.Size",
"torch.eq",
"torch.tensor",
"torch.as_tensor",
"torch.allclose",
"torch.Tensor"
],
[
"tensorflow.matmul",
"tensorflow.ones_like",
"tensorflow.ones",
"tensorflow.reshape",
"tensorflow.scatter_nd",
"tensorflow.reverse",
"tensorflow.math.not_equal... |
isn-dev/exoplanet-ml | [
"54a5865e86f54c974af0a8e59234248b45d874f2"
] | [
"exoplanet-ml/astronet/evaluate.py"
] | [
"# Copyright 2018 The Exoplanet ML 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 ... | [
[
"tensorflow.app.run",
"tensorflow.logging.set_verbosity"
]
] |
tanishq1g/visual-grounding-NMTree | [
"827c063f86078d60131fed610759e8c9b1385976"
] | [
"yolov3/cfg.py"
] | [
"import torch\nfrom yolov3.utils import convert2cpu\n\ndef parse_cfg(cfgfile):\n blocks = []\n fp = open(cfgfile, 'r')\n block = None\n line = fp.readline()\n while line != '':\n line = line.rstrip()\n if line == '' or line[0] == '#':\n line = fp.readline()\n cont... | [
[
"torch.from_numpy"
]
] |
johnaparker/MiePy | [
"5c5bb5a07c8ab79e9e2a9fc79fb9779e690147be"
] | [
"miepy/interface.py"
] | [
"import miepy\nimport numpy as np\n\nclass interface:\n def __init__(self, material, z=0):\n self.material = material\n self.z = z\n\n def get_relative_index(self, wavelength, medium):\n eps_m = medium.eps(wavelength)\n eps = self.material.eps(wavelength)\n return np.sqrt(co... | [
[
"numpy.zeros_like",
"numpy.ones_like",
"numpy.sin",
"numpy.zeros",
"matplotlib.pyplot.subplots",
"numpy.abs",
"numpy.cos",
"matplotlib.pyplot.show",
"numpy.linspace",
"numpy.meshgrid"
]
] |
LBJ-Wade/GPy | [
"29b8f702f20011674c4454e90a1e5eec16d8683d"
] | [
"GPy/kern/src/stationary.py"
] | [
"# Copyright (c) 2012, GPy authors (see AUTHORS.txt).\n# Licensed under the BSD 3-clause license (see LICENSE.txt)\n\n\nimport numpy as np\nfrom scipy import integrate\nfrom .kern import Kern\nfrom ...core.parameterization import Param\nfrom ...util.linalg import tdot\nfrom ... import util\nfrom ...util.config impo... | [
[
"numpy.square",
"numpy.array",
"numpy.sin",
"numpy.empty",
"numpy.asarray",
"numpy.zeros",
"numpy.dot",
"numpy.ascontiguousarray",
"numpy.sum",
"numpy.log",
"numpy.ones",
"numpy.exp",
"numpy.eye",
"numpy.log1p",
"numpy.where",
"numpy.sqrt",
"nump... |
VKCOM/TopicsDataset | [
"149919321ba61a8f17b22f62f60f4aedec43d72b"
] | [
"experiments/entropy_batch_exp.py"
] | [
"from functools import partial\nfrom keras.callbacks import EarlyStopping\nfrom modAL.uncertainty import entropy_sampling\n\nfrom experiments.datasets import get_categorical_mnist\nfrom modAL import KerasActiveLearner\nimport numpy as np\nimport experiments.al_experiment as exp\n\nfrom examples.models.mnist_models ... | [
[
"numpy.delete",
"numpy.random.randint"
]
] |
jasonrute/puzzle_cube_code | [
"cf0238bc333d55e3637a4a6a4f408d16d4e14418"
] | [
"models.py"
] | [
"\"\"\"\nThe various models. These all have a common API (except for __init__ which may have extra\nparameters) and are basically wrappers around the Keras models.\n\"\"\"\nfrom collections import OrderedDict\nimport numpy as np\nimport time\nfrom batch_cube import BatchCube, position_permutations, color_permutati... | [
[
"numpy.concatenate",
"numpy.array",
"numpy.random.choice",
"numpy.array_equal",
"numpy.zeros",
"numpy.rollaxis",
"numpy.tile",
"numpy.arange",
"numpy.argmax",
"tensorflow.gather"
]
] |
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