repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
DominikSpiljak/Fuzzy-Evolutionary-and-Neuro-computing | [
"fb0d54c35966ed0516c15519a6abcbffeb170f9b"
] | [
"ANFIS/fuzzy_net.py"
] | [
"import numpy as np\nimport matplotlib.pyplot as plt\nfrom mpl_toolkits import mplot3d\nfrom mpl_toolkits.mplot3d.axes3d import get_test_data\nfrom mpl_toolkits.mplot3d import Axes3D\nimport pickle\n\n\nclass ANFIS():\n\n def __init__(self, no_rules=1):\n self.no_rules = no_rules\n self.p = np.rand... | [
[
"numpy.square",
"numpy.savez",
"numpy.product",
"numpy.meshgrid",
"numpy.linspace",
"numpy.arange",
"matplotlib.pyplot.subplots",
"numpy.cos",
"numpy.random.permutation",
"numpy.random.randn",
"numpy.exp",
"numpy.load",
"numpy.array",
"numpy.zeros",
"num... |
BRGM/map2loop-2 | [
"9f9246e895e0334f3a0d53d7300b49e42f6de150"
] | [
"map2loop/config.py"
] | [
"import os\nimport sys\nimport time\nimport shutil\nimport random\n\nimport numpy as np\nimport pandas as pd\nimport geopandas as gpd\nfrom map2loop.topology import Topology\nfrom map2loop import m2l_utils\nfrom map2loop import m2l_geometry\nfrom map2loop import m2l_interpolation\nfrom map2loop import m2l_map_check... | [
[
"pandas.concat",
"pandas.read_csv",
"matplotlib.pyplot.tight_layout",
"matplotlib.pyplot.imshow",
"matplotlib.pyplot.title",
"matplotlib.pyplot.subplots",
"pandas.DataFrame",
"numpy.ones",
"matplotlib.pyplot.show"
]
] |
CaptainDuke/horovod | [
"48a48f0bdf140cd4807d58688c56061dd4f2c954"
] | [
"test/parallel/test_tensorflow.py"
] | [
"# Copyright 2016 The TensorFlow Authors. All Rights Reserved.\n# Modifications copyright (C) 2018 Uber Technologies, Inc.\n# Modifications copyright (C) 2019 Intel Corporation\n# Modifications copyright (C) 2020, NVIDIA CORPORATION. All rights reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"L... | [
[
"tensorflow.random_uniform",
"tensorflow.convert_to_tensor",
"tensorflow.device",
"tensorflow.enable_eager_execution",
"tensorflow.concat",
"tensorflow.cast",
"numpy.all",
"tensorflow.random.set_seed",
"numpy.ones_like",
"tensorflow.Variable",
"tensorflow.config.experim... |
peasant98/hiro_pytorch | [
"b2b4e5cd0933bc042f674a9ba5c99351a8ac20ed"
] | [
"envs/maze_env.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... | [
[
"numpy.ones"
]
] |
felixonmars/BAG_framework | [
"321625032b40f34ea79269b0f46101b25d2f6e08",
"993e7c82418443cf32e4b802d825671b78ec56fe",
"993e7c82418443cf32e4b802d825671b78ec56fe",
"993e7c82418443cf32e4b802d825671b78ec56fe"
] | [
"bag/data/plot.py",
"bag/tech/core.py",
"bag/mdao/core.py",
"bag/math/dfun.py"
] | [
"# -*- coding: utf-8 -*-\n\n\"\"\"This module contains utilities to improve waveform plotting in python.\n\"\"\"\n\nimport numpy as np\nimport scipy.interpolate as interp\n\nfrom matplotlib.lines import Line2D\nfrom matplotlib.figure import Figure\nfrom matplotlib.text import Annotation\nimport matplotlib.pyplot as... | [
[
"matplotlib.pyplot.imshow",
"numpy.amax",
"numpy.maximum",
"numpy.linspace",
"numpy.amin",
"matplotlib.figure.Figure.__init__",
"numpy.tile",
"matplotlib.pyplot.colorbar",
"numpy.ceil",
"matplotlib.pyplot.subplot",
"numpy.diff",
"numpy.argmin",
"numpy.floor",
... |
krish-dx/machina | [
"f93bb6f5aca1feccd71fc509bd6370d2015e2d85"
] | [
"machina/algos/r2d2_sac.py"
] | [
"\"\"\"\nThis is an implementation of R2D2(Soft Actor Critic ver).\nSee https://openreview.net/pdf?id=r1lyTjAqYX and https://arxiv.org/abs/1801.01290\n\"\"\"\n\nimport torch\nimport torch.nn as nn\n\nfrom machina import loss_functional as lf\nfrom machina import logger\nfrom machina.traj import traj_functional as t... | [
[
"torch.arange"
]
] |
vanshhhhh/io | [
"2ea1121e944629c2b462773c2d8d805da427311c"
] | [
"tensorflow_io_gcs_filesystem/core/python/ops/__init__.py"
] | [
"# Copyright 2021 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.experimental.register_filesystem_plugin"
]
] |
xueruoyao/FCN-pytorch | [
"a5019da3943f47fa4f7baed3640cdbfeae2d677e",
"a5019da3943f47fa4f7baed3640cdbfeae2d677e",
"a5019da3943f47fa4f7baed3640cdbfeae2d677e",
"a5019da3943f47fa4f7baed3640cdbfeae2d677e"
] | [
"code/models/SegHRNet.py",
"code/utils/loss.py",
"code/models/road_extraction/SIINet_model/DeeplabV3_plus.py",
"code/models/Swin_LinkNet_SUA.py"
] | [
"# ------------------------------------------------------------------------------\n# Copyright (c) Microsoft\n# Licensed under the MIT License.\n# Written by Ke Sun (sunk@mail.ustc.edu.cn), Jingyi Xie (hsfzxjy@gmail.com)\n# ------------------------------------------------------------------------------\n\nimport os\... | [
[
"torch.nn.init.constant_",
"torch.nn.init.normal_",
"torch.nn.functional.interpolate"
],
[
"torch.mean",
"torch.sigmoid",
"torch.ones",
"torch.nn.functional.log_softmax",
"torch.zeros",
"torch.sum",
"torch.zeros_like",
"torch.tensor",
"torch.arange",
"numpy.... |
rpp0/em-operation-extraction | [
"1e2e170353ae01cb089b4a579b0ab143915acc14"
] | [
"lib/fast-wavenet/wavenet/utils.py"
] | [
"import numpy as np\n\nfrom scipy.io import wavfile\n\n\ndef normalize(data):\n temp = np.float32(data) - np.min(data)\n out = (temp / np.max(temp) - 0.5) * 2\n return out\n\n\ndef make_batch(path):\n data = wavfile.read(path)[1][:, 0]\n return get_wavenet_data(data)\n\n\ndef get_wavenet_data(data, r... | [
[
"numpy.linspace",
"numpy.min",
"numpy.max",
"numpy.float32",
"numpy.digitize",
"scipy.io.wavfile.read"
]
] |
bollwyvl/jupyter-cadquery | [
"f0b8a1e20cf770329a23ba802f553bd94d0869f9"
] | [
"jupyter_cadquery/cad_animation.py"
] | [
"from math import pi\nimport numpy as np\nfrom scipy.spatial.transform import Rotation as R\nfrom cadquery import Workplane, Location\nfrom pythreejs import (\n NumberKeyframeTrack,\n AnimationAction,\n AnimationClip,\n AnimationMixer,\n BooleanKeyframeTrack,\n ColorKeyframeTrack,\n QuaternionK... | [
[
"scipy.spatial.transform.Rotation.from_rotvec",
"numpy.array",
"scipy.spatial.transform.Rotation.from_quat"
]
] |
lea-hagen/beast | [
"44d12e3ae9039fc4ad8c64721babd8f9901c48aa"
] | [
"beast/observationmodel/ast/make_ast_input_list.py"
] | [
"import os\nimport warnings\nimport numpy as np\nfrom astropy.io import ascii\nfrom astropy.table import Table\nfrom astropy.table import Column\n\nfrom beast.observationmodel.vega import Vega\nfrom beast.physicsmodel.grid import SEDGrid\n\n\ndef mag_limits(seds, faint_cut, Nfilter=1, bright_cut=None):\n \"\"\"\... | [
[
"numpy.amax",
"numpy.linspace",
"numpy.digitize",
"numpy.where",
"numpy.unique",
"numpy.clip",
"numpy.arange",
"numpy.full",
"numpy.column_stack",
"numpy.zeros",
"numpy.random.choice",
"numpy.amin",
"numpy.delete",
"numpy.log10",
"numpy.array",
"nump... |
Rsdv13/Audio-Emotion-Analysis | [
"f204e9665844665077d8004ce1d23b12535ef5fd"
] | [
"speaker_diarization.py"
] | [
"import collections\nimport contextlib\nimport sys\nimport wave\n\nimport webrtcvad\nimport librosa\n\n\ndef read_wave(path):\n\n with contextlib.closing(wave.open(path, 'rb')) as wf:\n num_channels = wf.getnchannels()\n assert num_channels == 1\n sample_width = wf.getsampwidth()\n as... | [
[
"numpy.dot",
"sklearn.cluster.SpectralClustering",
"numpy.shape",
"sklearn.mixture.GaussianMixture",
"numpy.array",
"numpy.zeros",
"numpy.sum",
"numpy.vstack"
]
] |
jamesmlane/galpy | [
"c74776ba72df5fc2dfc94ccabd89265326c6ebe6",
"c74776ba72df5fc2dfc94ccabd89265326c6ebe6"
] | [
"tests/test_pv2qdf.py",
"galpy/potential/planarPotential.py"
] | [
"# Tests of the quasiisothermaldf module\nfrom __future__ import print_function, division\nimport numpy\n#fiducial setup uses these\nfrom galpy.potential import MWPotential, vcirc, omegac, epifreq, verticalfreq\nfrom galpy.actionAngle import actionAngleAdiabatic, actionAngleStaeckel\nfrom galpy.df import quasiisoth... | [
[
"numpy.log",
"numpy.sqrt",
"numpy.linspace",
"numpy.ones",
"numpy.sum",
"numpy.fabs"
],
[
"numpy.nanmax",
"numpy.sqrt",
"numpy.linspace",
"numpy.arcsin",
"numpy.nanmin",
"numpy.cos",
"numpy.sin",
"numpy.zeros"
]
] |
Meruman/highway-env | [
"8bb23e7fa47e617971b83ddeeaab8c20c94b5c88"
] | [
"highway_env/road/graphics.py"
] | [
"from __future__ import division, print_function\nimport numpy as np\nimport pygame\n\nfrom highway_env.road.lane import LineType\nfrom highway_env.vehicle.graphics import VehicleGraphics\n\n\nclass LaneGraphics(object):\n \"\"\"\n A visualization of a lane.\n \"\"\"\n STRIPE_SPACING = 5\n \"\"\"... | [
[
"numpy.arange",
"numpy.array",
"numpy.clip"
]
] |
yinzi-xin/hcipy | [
"e9abb037ed0d6fe06581c1ce94e5c154fa5069a7",
"e9abb037ed0d6fe06581c1ce94e5c154fa5069a7"
] | [
"hcipy/metrics/contrast.py",
"examples/power_spectral_density.py"
] | [
"import numpy as np\n\ndef get_strehl_from_focal(img, ref_img):\n\t'''Get the Strehl ratio from a focal-plane image.\n\n\tParameters\n\t----------\n\timg : Field or array_like\n\t\tThe focal-plane image.\n\tref_img : Field or array_like\n\t\tThe reference focal-plane image without aberrations.\n\n\tReturns\n\t-----... | [
[
"numpy.argmax",
"numpy.mean",
"numpy.sum"
],
[
"numpy.abs",
"numpy.ones",
"matplotlib.pyplot.hist",
"matplotlib.pyplot.show",
"numpy.sum"
]
] |
tifuchs/silx | [
"4b8b9e58ecd6fd4ca0ae80f2e74b956b26bcc3f7",
"035cb286dd46f3f0cb3f819a3cfb6ce253c9933b",
"4b8b9e58ecd6fd4ca0ae80f2e74b956b26bcc3f7",
"035cb286dd46f3f0cb3f819a3cfb6ce253c9933b",
"035cb286dd46f3f0cb3f819a3cfb6ce253c9933b"
] | [
"examples/fftPlotAction.py",
"src/silx/math/test/test_histogramnd_nominal.py",
"examples/customHdf5TreeModel.py",
"examples/plot3dContextMenu.py",
"src/silx/math/setup.py"
] | [
"#!/usr/bin/env python\n# coding: utf-8\n# /*##########################################################################\n#\n# Copyright (c) 2016-2020 European Synchrotron Radiation Facility\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated document... | [
[
"numpy.abs",
"numpy.fft.fft",
"numpy.arange",
"numpy.cos",
"numpy.sin",
"numpy.fft.ifft",
"numpy.zeros_like"
],
[
"numpy.allclose",
"numpy.array_equal",
"numpy.arange",
"numpy.ones",
"numpy.repeat",
"numpy.array",
"numpy.zeros"
],
[
"numpy.string... |
EndyLab/spaceballs | [
"331ce388674a4b01b56b36dfb3dda26729b107e6",
"331ce388674a4b01b56b36dfb3dda26729b107e6"
] | [
"simanalysis_methods.py",
"simanalysis.py"
] | [
"\"\"\"\nCreated by Akshay Maheshwari\n09/05/2017\n\nSimulation analysis methods for 2D hard disk systems\n\"\"\"\n\ndef loadOutputList(expt_name,outputType):\n \"\"\"Loads a file containing all file names with a specified output data into a local list\n \n Args:\n expt_name (String): Name of experi... | [
[
"matplotlib.pyplot.Subplot",
"pandas.read_csv",
"matplotlib.gridspec.GridSpecFromSubplotSpec",
"numpy.linspace",
"numpy.histogram",
"matplotlib.gridspec.GridSpec",
"numpy.flip",
"matplotlib.ticker.ScalarFormatter",
"numpy.array",
"numpy.zeros",
"matplotlib.pyplot.figure... |
Jiang-zzz/Python | [
"3aefbfd88d53dc137dd3b019892d6affb7bc9164"
] | [
"dynamic_programming/max_sub_array.py"
] | [
"\"\"\"\nauthor : Mayank Kumar Jha (mk9440)\n\"\"\"\nfrom typing import List\n\n\ndef find_max_sub_array(A, low, high):\n if low == high:\n return low, high, A[low]\n else:\n mid = (low + high) // 2\n left_low, left_high, left_sum = find_max_sub_array(A, low, mid)\n right_low, righ... | [
[
"matplotlib.pyplot.plot",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.show",
"matplotlib.pyplot.ylabel"
]
] |
swirkert/ipcai2016 | [
"7193b1b1a001511e7efadc2a40b4ab544be76607"
] | [
"scripts/ipcai2016/script_analyze_ipcai_in_silico.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\n\nipcai2016\n\nCopyright (c) German Cancer Research Center,\nComputer Assisted Interventions.\nAll rights reserved.\n\nThis software is distributed WITHOUT ANY WARRANTY; without\neven the implied warranty of MERCHANTABILITY or FITNESS FOR\nA PARTICULAR PURPOSE.\n\nSee LICENSE for d... | [
[
"matplotlib.pyplot.legend",
"pandas.DataFrame",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.gca",
"numpy.ones_like",
"numpy.arange",
"matplotlib.pyplot.figure",
"pandas.concat",
"matplotlib.pyplot.ylim",
"matplotlib.pyplot.fill_between",
"numpy.array",
"matplotlib.... |
7vikpeculiar/superset | [
"800ced5e257d5d83d6dbe4ced0e7318ac40d026f"
] | [
"superset/utils/pandas_postprocessing/compare.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.concat"
]
] |
jkren6/PARL | [
"e8797bd0d31d81bc81aae8b12792ff922bcb8ea9"
] | [
"examples/tutorials/lesson5/ddpg/replay_memory.py"
] | [
"# Copyright (c) 2020 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 ... | [
[
"numpy.array"
]
] |
Baozhen-Li/SurfaceTopography | [
"37c70a4020c74dc56a4509969e760259ba93ec61"
] | [
"test/test_variable_bandwidth.py"
] | [
"#\n# Copyright 2017, 2020 Lars Pastewka\n# 2019-2020 Antoine Sanner\n#\n# ### MIT license\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including... | [
[
"numpy.log",
"numpy.zeros",
"numpy.testing.assert_allclose"
]
] |
DSEI21000-S21/project-product-price-prediction | [
"bbd1eb9577b40fcb538a6b33f5ba71096b5af72f"
] | [
"final/model_evaluation/visualizations.py"
] | [
"import numpy as np\nimport pandas as pd\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n\ndef plot_prediction_price(origin, predict, title):\n _, ax = plt.subplots(figsize = (15,5))\n# matplotlib.rcParams['figure.figsize'] = (10, 10)\n ax.scatter(x = range(0, origin.size), y=origin, c = 'blue', labe... | [
[
"matplotlib.pyplot.legend",
"matplotlib.pyplot.title",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.show",
"matplotlib.pyplot.ylabel"
]
] |
Tzer-AnonBot/tzer | [
"07799222118f757bdcb6a14654a6addda2dcf55c"
] | [
"paper_data/RQ3/plot_nmax.py"
] | [
"import matplotlib\nimport matplotlib.pyplot as plt\nimport pandas\nimport os\nimport re\n\n# plt.rc('font', size=SMALL_SIZE) # controls default text sizes\n# plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title\nplt.rc('axes', labelsize=16) # fontsize of the x and y labels\n# plt.rc('x... | [
[
"matplotlib.pyplot.legend",
"matplotlib.pyplot.tight_layout",
"pandas.read_csv",
"matplotlib.pyplot.ylim",
"matplotlib.pyplot.rc",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.grid",
"matplotlib.pyplot.xlabel",
"m... |
ThalesGroup/incubator-superset | [
"f6965f99e389436614d79d91765e88a84cc6b258"
] | [
"superset/connectors/druid/models.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.DataFrame"
]
] |
likweitan/final_year_project | [
"a86059cad92efe4edd85364d21b4ee6a56234b30"
] | [
"streamlit/app.py"
] | [
"import streamlit as st\nimport pandas as pd\n\nimport src.models.data_preprocessing as data_preprocessing\n\nimport src.pages.home as home\nimport src.pages.data_exploration as data_exploration\nimport src.pages.problem_statistics as problem_statistics\nimport src.pages.content_statistics as content_statistics\nim... | [
[
"pandas.read_csv"
]
] |
L24358/CRIREL | [
"26a95c6e471f783106b57368431166d22242725d"
] | [
"equilibrium_points/sub_basics.py"
] | [
"import os\r\nimport numpy as np\r\nimport dynalysis.basics as bcs\r\nimport dynalysis.classes as clss\r\n\r\n#=====basics=====#\r\ndef vect_len(coor1, coor2):\r\n '''returns: length of vector'''\r\n if len(coor1)!=len(coor2): raise bcs.AlgorithmError('func vect_len')\r\n vect = [coor1[i]-coor2[i] for i in... | [
[
"numpy.array"
]
] |
cambel/ur3-tools | [
"820707c1f6dc188f453228cc1b3613978696091e",
"820707c1f6dc188f453228cc1b3613978696091e",
"820707c1f6dc188f453228cc1b3613978696091e"
] | [
"plot/sac_plot_detail_p24.py",
"scripts/plt_test.py",
"plot/plotter_utils.py"
] | [
"from plotter_utils import smooth, reformat_large_tick_values\nimport matplotlib.ticker as tick\nimport matplotlib.cm as cm\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport matplotlib\nmatplotlib.use('TkAgg')\n\n\ndef extract_obs(obs):\n # 6 + 6 + 24 + 6*n + 1\n n_extra = 0\n dist = obs[0][:6].... | [
[
"matplotlib.use",
"matplotlib.pyplot.subplots",
"numpy.rad2deg",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.clf",
"numpy.load",
"numpy.array",
"matplotlib.pyplot.show"
],
[
"numpy.arange",
"matplotlib.pyplot.get_cmap",
"numpy.random.rand",
"matplotlib.pyplo... |
small-zeng/nerf-pytorch | [
"59b5fc655e1c22cd42dfa4a1617ba6feb8ce3464"
] | [
"torchsearchsorted/setup.py"
] | [
"from setuptools import setup, find_packages\r\nfrom torch.utils.cpp_extension import BuildExtension, CUDA_HOME\r\nfrom torch.utils.cpp_extension import CppExtension, CUDAExtension\r\n\r\n# In any case, include the CPU version\r\nmodules = [\r\n CppExtension('torchsearchsorted.cpu',\r\n ['src/cpu... | [
[
"torch.utils.cpp_extension.CUDAExtension",
"torch.utils.cpp_extension.CppExtension"
]
] |
showkeyjar/beauty | [
"7c944cf896c899d9e23b2e50e293103bb03fe6cd",
"7c944cf896c899d9e23b2e50e293103bb03fe6cd",
"7c944cf896c899d9e23b2e50e293103bb03fe6cd",
"7c944cf896c899d9e23b2e50e293103bb03fe6cd"
] | [
"App/beauty/app/src/main/assets/python/report_lite.py",
"dl/autokeras/predict.py",
"predict_interpret.py",
"dl/scan/part_tflite.py"
] | [
"import io\nimport cv2\nimport math\nimport base64\nimport numpy as np\nfrom PIL import Image\nfrom os.path import dirname, join\nimport tensorflow as tf\nfrom explain_lite import OcclusionSensitivity\n\n\"\"\"\n模型解释\n\"\"\"\nmodel_file = join(dirname(__file__), \"model_beauty_q_v2.tflite\")\ninterpreter = tf.compa... | [
[
"tensorflow.compat.v1.lite.Interpreter",
"numpy.fromstring",
"tensorflow.keras.preprocessing.image.img_to_array",
"tensorflow.keras.preprocessing.image.load_img"
],
[
"tensorflow.keras.models.load_model",
"pandas.concat",
"pandas.read_csv",
"tensorflow.keras.preprocessing.image... |
TysonReimer/ML-in-BMS | [
"e7be69abb663a8e213ec4683818018746cb92106"
] | [
"run/ai-test/logreg_train_g2_test_g1.py"
] | [
"\"\"\"\r\nTyson Reimer\r\nUniversity of Manitoba\r\nAugust 06th, 2020\r\n\"\"\"\r\n\r\nimport os\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\n\r\nfrom sklearn.metrics import roc_auc_score\r\nfrom sklearn.linear_model import LogisticRegression\r\n\r\nfrom umbms import get_proj_path, get_script_logger... | [
[
"sklearn.metrics.roc_auc_score",
"matplotlib.pyplot.tight_layout",
"sklearn.linear_model.LogisticRegression",
"numpy.linspace",
"matplotlib.pyplot.rc",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.ylabel",
"numpy.size",
"numpy.zeros_like",
"matplotlib.pyplot.close",
"ma... |
drkostas/tda_examples | [
"3fdef4f890ced14b8e3207bd9393eaf262dd0c24"
] | [
"gda-public/multidim/test_rca1.py"
] | [
"r\"\"\" \nBasic tests of RCA1 algorithm in :class:`multidim.PointCloud` \n\nCopyright\n---------\n- This file is part of https://github.com/geomdata/gda-public/ \n- 2015, 2016, 2017 by Geometric Data Analytics, Inc. (http://geomdata.com)\n- AGPL license. See `LICENSE` or https://github.com/geomdata/gda-public/blob... | [
[
"numpy.load",
"numpy.array"
]
] |
changhaowu/macaron-net | [
"e37053e34875591f5eea2d6aaf9121819004f1dc"
] | [
"translation/fairseq/data/language_pair_dataset.py"
] | [
"# Copyright (c) 2017-present, Facebook, Inc.\n# All rights reserved.\n#\n# This source code is licensed under the license found in the LICENSE file in\n# the root directory of this source tree. An additional grant of patent rights\n# can be found in the PATENTS file in the same directory.\n\nimport numpy as np\nim... | [
[
"numpy.argsort",
"torch.LongTensor",
"numpy.array"
]
] |
cmgreen210/cudf | [
"89462008c24a647de457ce595ab44c0c0d758450"
] | [
"python/cudf/tests/test_dataframe.py"
] | [
"# Copyright (c) 2018, NVIDIA CORPORATION.\n\nimport operator\nimport pytest\n\nimport numpy as np\nimport pandas as pd\nimport pyarrow as pa\nimport array as arr\n\nfrom librmm_cffi import librmm as rmm\n\nimport cudf as gd\nfrom cudf.dataframe.dataframe import Series, DataFrame\nfrom cudf.dataframe.buffer import ... | [
[
"pandas.Series",
"numpy.asarray",
"pandas.DataFrame",
"numpy.dtype",
"numpy.all",
"numpy.max",
"numpy.random.randn",
"pandas.testing.assert_frame_equal",
"numpy.random.sample",
"numpy.digitize",
"numpy.random.randint",
"numpy.hstack",
"numpy.testing.assert_equal... |
kensugino/JUGEMu | [
"3ebf19c96e41f1c90d63d772fd4c9c5cc3d6886f"
] | [
"jgem/plotgenes.py"
] | [
"# => moved to ponder/plotgene.py\n\nimport pandas as PD\nimport numpy as N\nimport matplotlib.pyplot as P\n\n#import bedtools as BT\n#import gtfgffbed as GGB\nimport jgem.utils as UT\n\nimport random\nfrom matplotlib.patches import Rectangle, PathPatch, Circle, Ellipse\nfrom matplotlib.lines import Line2D\nfrom ma... | [
[
"numpy.log2",
"numpy.arange",
"matplotlib.patches.Rectangle",
"matplotlib.path.Path",
"matplotlib.lines.Line2D",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.get_cmap",
"matplotlib.colors.Normalize",
"numpy.max",
"matplotlib.cm.ScalarMappable",
"numpy.sum",
"mat... |
gundun/theano | [
"09d17fff10487dca7149e34601b8c6efdc572a19",
"09d17fff10487dca7149e34601b8c6efdc572a19",
"09d17fff10487dca7149e34601b8c6efdc572a19"
] | [
"theano/tensor/nnet/tests/test_conv3d2d.py",
"theano/scan_module/tests/test_scan_checkpoints.py",
"theano/sandbox/cuda/tests/test_dnn.py"
] | [
"from __future__ import absolute_import, print_function, division\nimport time\n\nfrom nose.plugins.skip import SkipTest\nfrom nose_parameterized import parameterized\nimport numpy\ntry:\n from scipy import ndimage\nexcept ImportError:\n ndimage = None\nfrom six.moves import xrange\n\nimport theano\nfrom thea... | [
[
"numpy.asarray",
"numpy.arange",
"scipy.ndimage.convolve",
"numpy.random.rand",
"numpy.zeros"
],
[
"numpy.allclose",
"numpy.ones"
],
[
"numpy.random.random",
"numpy.asarray",
"numpy.finfo",
"numpy.random.normal",
"numpy.random.randn",
"numpy.random.rand"... |
TalSchuster/prototypical-networks | [
"3fb2a0c4ff8f2a463f01fafa6a2f075afc0688e5"
] | [
"train_mini_imagenet.py"
] | [
"import torch.nn.functional as F\nimport torchvision.models as models\nimport torch.utils.data.distributed\nimport torch.utils.data\nimport torch.multiprocessing as mp\nimport torch.optim\nimport torch.distributed as dist\nimport torch.backends.cudnn as cudnn\nimport torch.nn.parallel\nimport torch.nn as nn\nimport... | [
[
"torch.distributed.init_process_group",
"torch.multiprocessing.spawn",
"torch.cuda.set_device",
"torch.load",
"torch.manual_seed",
"torch.nn.functional.cross_entropy",
"torch.utils.data.DataLoader",
"torch.nn.Linear",
"torch.nn.DataParallel",
"torch.no_grad",
"torch.ara... |
francisyyan/Detectron | [
"e38bf9692792f70b6cfbe6683b61f6e96cb63af0"
] | [
"detectron/utils/vis.py"
] | [
"# Copyright (c) 2017-present, Facebook, 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 required by applicabl... | [
[
"matplotlib.pyplot.Rectangle",
"numpy.nonzero",
"matplotlib.pyplot.autoscale",
"matplotlib.pyplot.Axes",
"matplotlib.pyplot.get_cmap",
"numpy.ones",
"numpy.concatenate",
"matplotlib.pyplot.plot",
"numpy.copy",
"matplotlib.pyplot.setp",
"matplotlib.pyplot.close",
"nu... |
juanmc2005/MetricAMI | [
"8cb9fbe8dcf5303f1b44007f03492e065e867caf"
] | [
"losses/center.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\n\nclass SoftmaxCenterLoss(nn.Module):\n \"\"\"\n Cross Entropy + Center Loss module\n Reference: https://kpzhang93.github.io/papers/eccv2016.pdf\n :param device: a device in which to... | [
[
"torch.nn.Linear",
"torch.nn.NLLLoss",
"torch.randn"
]
] |
MTandHJ/amoc | [
"0219f560936a23a28b70042ca85dc178000b1f43"
] | [
"linear_std.py"
] | [
"#!/usr/bin/env python\n\nimport torch\nimport torch.nn as nn\nimport argparse\nfrom src.loadopts import *\n\n\n\n\nMETHOD = \"LinearSTD\"\nSAVE_FREQ = 10\nFMT = \"{description}={finetune}-{bn_adv}={learning_policy}-{optim}-{lr}={epochs}-{batch_size}={transform}\"\n\nparser = argparse.ArgumentParser()\nparser.add_a... | [
[
"torch.utils.tensorboard.SummaryWriter"
]
] |
dcodos/247scraper | [
"ca841376ceb24711c059a9704398302ad4e47e3a"
] | [
"neural_net.py"
] | [
"import sqlite3\nimport tensorflow as tf\nimport numpy as np\nfrom geopy import geocoders\nimport random\nfrom recruit_dao import *\n\nschools = []\nn_nodes_hl1 = 400\nn_nodes_hl2 = 400\nn_nodes_hl3 = 400\nn_classes = 419\nbatch_size = 100\n\nx = tf.placeholder('float', [None, 481])\ny = tf.placeholder('float')\n\n... | [
[
"tensorflow.nn.relu",
"tensorflow.matmul",
"tensorflow.nn.softmax_cross_entropy_with_logits",
"tensorflow.cast",
"tensorflow.placeholder",
"tensorflow.initialize_all_variables",
"tensorflow.Session",
"tensorflow.train.AdamOptimizer",
"tensorflow.argmax",
"numpy.array",
... |
KChen-lab/sensei | [
"591f5214b598f60e2ea21bb8b9955cc529f67eee"
] | [
"python/sensei/unpaired.py"
] | [
"import scipy.stats\nfrom .utils import *\nfrom scipy.stats import mannwhitneyu, ttest_ind, betabinom\n\ndef calc_wilcoxon_fn(M, N, m, s, alpha = 0.05, n_sim = 10_000):\n \"\"\"\n \n :param M: number of patients, as a list\n :param N: number of cells, as a list\n :param m: mean for both groups, as a ... | [
[
"scipy.stats.mannwhitneyu",
"scipy.stats.betabinom.rvs"
]
] |
loopylangur/numpyro | [
"7892f2bc0eba68f238228198bd2bcfcbcba2207b"
] | [
"examples/gp.py"
] | [
"# Copyright Contributors to the Pyro project.\n# SPDX-License-Identifier: Apache-2.0\n\n\"\"\"\nExample: Gaussian Process\n=========================\n\nIn this example we show how to use NUTS to sample from the posterior\nover the hyperparameters of a gaussian process.\n\n.. image:: ../_static/img/examples/gp.png\... | [
[
"numpy.random.seed",
"matplotlib.use",
"matplotlib.pyplot.subplots",
"numpy.percentile",
"matplotlib.pyplot.savefig",
"numpy.mean",
"numpy.random.randn"
]
] |
hsokooti/RegNet | [
"28a8b6132677bb58e9fc811c0dd15d78913c7e86"
] | [
"functions/preprocessing/dirlab.py"
] | [
"import copy\nimport os\nimport numpy as np\nimport SimpleITK as sitk\nimport functions.image.image_processing as ip\n\n\ndef img_converter(data_folder, data, type_im, cn, ext='.mha', mha_folder_name='mha', point_folder_name='points'):\n \"\"\"\n convert img images to mha.\n reading image:\n 1) Size and... | [
[
"numpy.fromfile",
"numpy.shape",
"numpy.savetxt",
"numpy.flip",
"numpy.sum",
"numpy.loadtxt"
]
] |
krangelie/bias-in-german-nlg | [
"9fbaf50fde7d41d64692ae90c41beae61bc78d44"
] | [
"src/evaluate_bias_in_nlg/eval_bias_in_labeled_generations.py"
] | [
"import os\nimport json\n\nimport hydra.utils\nimport pandas as pd\nfrom scipy.stats import chi2, chi2_contingency\nimport matplotlib.pyplot as plt\n\nimport src.constants as constants\nfrom src.evaluate_bias_in_nlg.bias_eval_helpers import (\n single_file_to_dict,\n mult_files_to_dict,\n plot_regard_ratio... | [
[
"scipy.stats.chi2.ppf",
"matplotlib.pyplot.tight_layout",
"scipy.stats.chi2_contingency",
"matplotlib.pyplot.subplots",
"pandas.DataFrame",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.ylabel"
]
] |
DonliFly/tensorflow | [
"3db3e972a33760ebe6662341d5f4320a906582f7",
"3db3e972a33760ebe6662341d5f4320a906582f7"
] | [
"tensorflow/python/ops/nn_test.py",
"tensorflow/python/keras/layers/local_test.py"
] | [
"# Copyright 2015 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.nn_ops.data_format_dim_map",
"numpy.dot",
"numpy.amax",
"numpy.expand_dims",
"numpy.linspace",
"numpy.random.random_sample",
"tensorflow.python.ops.array_ops.placeholder",
"numpy.concatenate",
"tensorflow.python.ops.array_ops.zeros",
"numpy.random.ran... |
HolgerSpernau/pandas | [
"231a3ce467da04cdfe5bfb4ba37ef91610834ded"
] | [
"pandas/tests/sparse/series/test_series.py"
] | [
"from datetime import datetime\nimport operator\n\nimport numpy as np\nfrom numpy import nan\nimport pytest\n\nfrom pandas._libs.sparse import BlockIndex, IntIndex\nfrom pandas.compat import PY36\nfrom pandas.errors import PerformanceWarning\nimport pandas.util._test_decorators as td\n\nimport pandas as pd\nfrom pa... | [
[
"pandas.util.testing.assert_sp_frame_equal",
"pandas.Series",
"numpy.take",
"numpy.asarray",
"pandas.util.testing.assert_produces_warning",
"pandas._libs.sparse.IntIndex",
"pandas.MultiIndex.from_tuples",
"pandas.DataFrame",
"pandas.SparseDataFrame",
"pandas.util.testing.as... |
avimehenwal/tng-sdk-benchmark | [
"e3b39769f4ebdeb02fb26e74ecf8c77ed96d85a6"
] | [
"src/tngsdk/benchmark/resultprocessor/vimemu.py"
] | [
"# Copyright (c) 2018 SONATA-NFV, 5GTANGO, Paderborn University\n# 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/LIC... | [
[
"pandas.DataFrame"
]
] |
brugger1/testsuite | [
"9b504db668cdeaf7c561f15b76c95d05bfdd1517"
] | [
"validation_tests/llvm/SOLLVE/pragmas/crout/findMin.py"
] | [
"import pandas\nfrom sklearn import model_selection\nfrom sklearn.linear_model import LogisticRegression\n\ndataframe = pandas.read_csv(\"results.csv\")\narray = dataframe.values\nx = array[:,6]\n\nprint(\"Performance summary based on\", len(array), \"evaluations:\")\nprint(\"Min: \", x.min(), \"s\")\nprint(\"Max: ... | [
[
"pandas.read_csv"
]
] |
S2-group/ICSME-2020-replication-package | [
"5c468f2f5552a5971d59fc84581298c9e3c469bc"
] | [
"network/parse-har.py"
] | [
"import sys\nimport json\nimport numpy\nfrom haralyzer import HarParser, HarPage\n\ndef get_number_of_requests(har_page, type):\n return len(har_page.filter_entries(request_type=type, status_code='2.*'))\n\ndef get_load_time(har_page, type):\n return round(har_page.get_load_time(request_type=type, status_code... | [
[
"numpy.mean"
]
] |
emildi/pennylane | [
"64901ef2f920f42385b65c8da538941ff36da7be",
"64901ef2f920f42385b65c8da538941ff36da7be",
"64901ef2f920f42385b65c8da538941ff36da7be"
] | [
"tests/interfaces/test_batch_torch.py",
"pennylane/numpy/tensor.py",
"pennylane/ops/cv.py"
] | [
"# Copyright 2018-2021 Xanadu Quantum Technologies Inc.\r\n\r\n# Licensed under the Apache License, Version 2.0 (the \"License\");\r\n# you may not use this file except in compliance with the License.\r\n# You may obtain a copy of the License at\r\n\r\n# http://www.apache.org/licenses/LICENSE-2.0\r\n\r\n# Unles... | [
[
"numpy.allclose",
"numpy.arange",
"numpy.cos",
"numpy.sin",
"numpy.array"
],
[
"numpy.asarray",
"numpy.iscomplexobj"
],
[
"numpy.diag",
"numpy.hstack",
"scipy.linalg.block_diag",
"numpy.arange",
"numpy.eye",
"numpy.identity",
"numpy.array"
]
] |
Ahostility/AnalyzePeople-1 | [
"edcd70fd6b236f4fafdbe4565b8a4975c1e084e4"
] | [
"src/diarization/segment_another.py"
] | [
"import numpy as np\n\nmin_time = 3\nd = 0.06\nduration = 1.6\nmax_time = 5\n\n\ndef get_another_fragments(voice_fragments, operator_similarity, wav_splits):\n new_fragments = []\n new_similarity = []\n for voice_fragment in voice_fragments:\n cur_diff = voice_fragment[1] - voice_fragment[0]\n ... | [
[
"numpy.argsort"
]
] |
mingminyu/mumu | [
"e9f6c86a0b678ce4467ffba7f3dc4c0c8f971ff8"
] | [
"mumu/feature/_woe.py"
] | [
"# coding: utf-8\n# ================================================\n# Project: mumu\n# File: feature/_woe.py\n# Author: Mingmin Yu\n# Email: yu_ming623@163.com\n# Date: 2021/6/24 18:24\n# Description:\n# ================================================\nimport os\nimport string\nimport logging\nimport math\nimpor... | [
[
"matplotlib.pyplot.legend",
"numpy.dot",
"numpy.asarray",
"pandas.DataFrame",
"matplotlib.pyplot.plot",
"numpy.max",
"numpy.concatenate",
"sklearn.tree.DecisionTreeClassifier",
"numpy.digitize",
"pandas.crosstab",
"matplotlib.pyplot.twinx",
"numpy.arange",
"matp... |
stevaras2/bert | [
"1efaa300eb91dea85c40de5e1586e8d2c94b89bb",
"1efaa300eb91dea85c40de5e1586e8d2c94b89bb"
] | [
"extract_features.py",
"prepare_Fudan.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... | [
[
"tensorflow.contrib.tpu.TPUEstimator",
"tensorflow.train.Scaffold",
"tensorflow.constant",
"tensorflow.gfile.Open",
"numpy.asarray",
"tensorflow.gfile.GFile",
"tensorflow.train.init_from_checkpoint",
"tensorflow.logging.info",
"tensorflow.logging.set_verbosity",
"tensorflow... |
tlechauveCLS/kpi_mpc | [
"4dc61d210c2b97e6ac240e54a8d96c35cf9123de"
] | [
"src/kpi_WV_nrcs/reader_nasa_gsfc_distance_to_coast_super_light.py"
] | [
"\"\"\"\nAntoine Grouazel\nNov 2019\n\"\"\"\nimport netCDF4\nimport numpy as np\nimport logging\nfrom src.config import RASTER_NASA_COASTLINE\nnc = netCDF4.Dataset(RASTER_NASA_COASTLINE)\nDISTANCE_COASTs = nc.variables['distance_to_coast'][:]\nLON_COASTs = nc.variables['lon'][:]\nLAT_COASTs = nc.variables['lat'][:]... | [
[
"numpy.array",
"numpy.shape",
"numpy.floor"
]
] |
MehdiZouitine/Learning-Disentangled-Representations-via-Mutual-Information-Estimation | [
"52952aff647a33b749b709cd7f0c3cd059c66b54"
] | [
"src/losses/loss_functions.py"
] | [
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\nfrom src.utils.custom_typing import GanLossOutput, Tuple\n\n\nclass ClassifLoss(nn.Module):\n \"\"\"Classifier loss\"\"\"\n\n @staticmethod\n def accuracy(y_pred, target):\n return torch.sum(y_pred == target).float().mean()\n\n... | [
[
"torch.nn.CrossEntropyLoss",
"torch.nn.functional.softmax",
"torch.zeros_like",
"torch.sum",
"torch.nn.functional.softplus",
"torch.ones_like",
"torch.argmax"
]
] |
artem-oppermann/Deep-Autoencoders-For-Collaborative-Filtering | [
"ae3b9592371ea2ca2fcd16551a051837309c4f14",
"ae3b9592371ea2ca2fcd16551a051837309c4f14"
] | [
"src/data/dataset.py",
"src/data/preprocess_data.py"
] | [
"import tensorflow as tf\nimport os\n\n\ndef _get_training_data(FLAGS): \n ''' Buildind the input pipeline for training and inference using TFRecords files.\n @return data only for the training\n @return data for the inference\n '''\n \n filenames=[FLAGS.tf_records_train_path+'/'+f for f in os.li... | [
[
"tensorflow.cast",
"tensorflow.data.TFRecordDataset",
"tensorflow.parse_single_example",
"tensorflow.FixedLenFeature"
],
[
"numpy.array",
"pandas.read_csv",
"numpy.zeros"
]
] |
gitcheng/probfit | [
"820ce9ee4eee80bbd950be0fbe074b84afc423f8",
"820ce9ee4eee80bbd950be0fbe074b84afc423f8"
] | [
"doc/pyplots/costfunc/simul.py",
"probfit/plotting.py"
] | [
"from iminuit import Minuit\nfrom probfit import UnbinnedLH, gaussian, SimultaneousFit, rename\nfrom matplotlib import pyplot as plt\nfrom numpy.random import randn, seed\n\nseed(0)\nwidth = 2.\ndata1 = randn(1000)*width + 1\ndata2 = randn(1000)*width + 2\n\n#two gaussian with shared width\npdf1 = rename(gaussian, ... | [
[
"numpy.random.seed",
"matplotlib.pyplot.subplot",
"numpy.random.randn",
"matplotlib.pyplot.suptitle",
"matplotlib.pyplot.figure"
],
[
"matplotlib.pyplot.gca",
"numpy.sqrt",
"numpy.linspace",
"numpy.copy",
"matplotlib.pyplot.subplot",
"numpy.diff",
"matplotlib.py... |
Sapio-S/habitat-lab | [
"47985177d6e6932db98ee6698371253182cf96fb"
] | [
"habitat/sims/habitat_simulator/habitat_simulator.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\nfrom enum import Enum\nfrom typing import Any, List, Optional\n\nimport numpy as np\nfrom gym import Space, s... | [
[
"numpy.array",
"numpy.expand_dims",
"numpy.iinfo",
"numpy.clip"
]
] |
hyperfraise/pytorch-detect-to-track | [
"920aed6948687825d80a0eb2ab21268a5f74f9a8"
] | [
"lib/model/utils/online_tubes.py"
] | [
"import os\nimport glob\nimport shutil\nimport subprocess\nimport time\nfrom collections import deque\n\nimport numpy as np\nimport torch\nimport torch.utils.data as data\nimport cv2\nfrom model.utils.blob import prep_im_for_blob, im_list_to_blob\nfrom model.utils.config import cfg\nfrom model.nms.nms_wrapper impor... | [
[
"torch.max",
"torch.cat",
"numpy.min",
"torch.zeros",
"torch.min",
"numpy.ndarray",
"torch.cuda.LongTensor",
"torch.from_numpy",
"torch.cuda.FloatTensor",
"numpy.max",
"numpy.round",
"torch.FloatTensor",
"torch.sort",
"torch.nonzero",
"torch.arange",
... |
alirezajahani60/flee-release | [
"33646c2224a7ef3677f82c11bf7525083e9e649c"
] | [
"burundi.py"
] | [
"from flee import flee\nfrom datamanager import handle_refugee_data\nfrom datamanager import DataTable\nimport numpy as np\nimport outputanalysis.analysis as a\nimport sys\n\n\"\"\"\nGeneration 1 code. Incorporates only distance, travel always takes one day.\n\"\"\"\n\n#Burundi Simulation\n\n\ndef date_to_sim_days(... | [
[
"numpy.sum"
]
] |
xravitejax/OpenSeq2Seq | [
"dd98278b66385911a3143d8f0b95c6d5187935d0",
"dd98278b66385911a3143d8f0b95c6d5187935d0"
] | [
"open_seq2seq/parts/tacotron/tacotron_decoder.py",
"open_seq2seq/data/text2speech/speech_utils.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.rnn_cell_impl.assert_like_rnncell",
"tensorflow.python.framework.ops.name_scope",
"tensorflow.python.util.nest.map_structure",
"tensorflow.python.framework.tensor_shape.TensorShape"
],
[
"numpy.dot",
"numpy.exp",
"numpy.clip",
"numpy.power"
]
] |
mit-acl/dc2g | [
"6f739e191c51acd5fb4ecb50609e1c26a10782fd"
] | [
"dc2g/planners/DC2GPlanner.py"
] | [
"from dc2g.planners.FrontierPlanner import FrontierPlanner\nimport numpy as np\nfrom skimage.transform import resize\nimport tensorflow as tf\nimport json\nimport os\n\nimport matplotlib.pyplot as plt\n\n\nclass DC2GPlanner(FrontierPlanner):\n def __init__(self, model_name, traversable_colors, goal_color, room_o... | [
[
"matplotlib.pyplot.imshow",
"tensorflow.compat.v1.train.import_meta_graph",
"tensorflow.compat.v1.get_default_graph",
"numpy.ones",
"tensorflow.compat.v1.Session",
"numpy.max",
"tensorflow.compat.v1.get_collection",
"matplotlib.pyplot.subplot",
"numpy.array",
"matplotlib.py... |
PVSemk/segmentation_models.pytorch | [
"8d9b033be918dfc1e6186d9ef404cc7d2c171e8d",
"8d9b033be918dfc1e6186d9ef404cc7d2c171e8d"
] | [
"segmentation_models_pytorch/encoders/inceptionv4.py",
"segmentation_models_pytorch/encoders/dpn.py"
] | [
"\"\"\" Each encoder should have following attributes and methods and be inherited from `_base.EncoderMixin`\n\nAttributes:\n\n _out_channels (list of int): specify number of channels for each encoder feature tensor\n _depth (int): specify number of stages in decoder (in other words number of downsampling ope... | [
[
"torch.nn.Identity"
],
[
"torch.nn.Sequential",
"torch.nn.Identity",
"torch.cat"
]
] |
isabelchaves/BiGIT | [
"6b5ef354f1c9877cad47a48a3e032cd1ba8dccca"
] | [
"src/predictions.py"
] | [
"import numpy as np\nimport pandas as pd\nfrom tqdm import tqdm\n\nfrom src.configs.experiment_config import ExperimentConfig\nfrom src.configs.variables_const import VariablesConsts\nfrom src.data.processing.textual_processing import PreProcessing\nfrom src.evaluation.evaluation_method import EvaluationMethod\n\n\... | [
[
"pandas.read_parquet",
"pandas.DataFrame",
"numpy.add"
]
] |
lukovnikov/parseq | [
"65a4a2444d78779c3255e70a7897f77e73cdcdda",
"65a4a2444d78779c3255e70a7897f77e73cdcdda"
] | [
"parseq/scripts_compgen/transformer.py",
"parseq/eval.py"
] | [
"\n\"\"\" Copied from Hugging face T5 model code in Pytorch. \"\"\"\n\n\nimport copy\nimport logging\nimport math\nimport os\n\nimport torch\nimport torch.nn.functional as F\nfrom torch import nn\nfrom torch.nn import CrossEntropyLoss\n\nfrom transformers import PretrainedConfig\nfrom transformers.configuration_t5 ... | [
[
"torch.all",
"torch.randn_like",
"torch.nn.Dropout",
"torch.ones",
"torch.cat",
"torch.einsum",
"torch.nn.ModuleList",
"torch.nn.Embedding",
"torch.nn.LayerNorm",
"torch.tensor",
"torch.nn.Linear",
"torch.matmul",
"torch.nn.functional.relu",
"torch.relu",
... |
sorrowyn/query2labels | [
"03f8aa74caa6e41fb6898bdf29565d10d212dab7"
] | [
"lib/models/tresnet/layers/general_layers.py"
] | [
"import torch\r\nimport torch.nn as nn\r\nimport torch.nn.functional as F\r\n\r\nfrom models.tresnet.layers.avg_pool import FastAvgPool2d\r\n\r\n\r\nclass Flatten(nn.Module):\r\n def forward(self, x):\r\n return x.view(x.size(0), -1)\r\n\r\n\r\nclass DepthToSpace(nn.Module):\r\n\r\n def __init__(self, ... | [
[
"torch.nn.functional.relu6",
"torch.nn.ReLU",
"torch.nn.Conv2d",
"torch.nn.Sigmoid"
]
] |
darkknight2223/streamlit-webrtc | [
"30286f5c003d443fac6d7f91a6d84e84eacc0408",
"30286f5c003d443fac6d7f91a6d84e84eacc0408"
] | [
"app_deepspeech.py",
"app_videochat.py"
] | [
"import logging\nimport logging.handlers\nimport queue\nimport threading\nimport time\nimport urllib.request\nfrom collections import deque\nfrom pathlib import Path\nfrom typing import List\n\nimport av\nimport numpy as np\nimport pydub\nimport streamlit as st\n\nfrom streamlit_webrtc import AudioProcessorBase, We... | [
[
"numpy.zeros"
],
[
"numpy.zeros"
]
] |
alvaradoo/arkouda | [
"c9e03fb1d8f7d0d1633b80b50353346ad0ffd43f",
"c9e03fb1d8f7d0d1633b80b50353346ad0ffd43f"
] | [
"tests/suffixarray_test.py",
"arkouda/pdarraycreation.py"
] | [
"import numpy as np\nfrom collections import Counter\nfrom context import arkouda as ak\nfrom base_test import ArkoudaTest\nimport pytest\nimport random\nimport string\nak.verbose = False\n\nN = 100\nUNIQUE = N//2\n\n# test_strings = np.array(['These are', 'some', 'interesting',\n# '~!@#$%^... | [
[
"numpy.array",
"numpy.allclose",
"numpy.sort",
"numpy.unique"
],
[
"numpy.array",
"numpy.zeros",
"numpy.cumsum",
"numpy.isscalar"
]
] |
igncp/leaves | [
"158f776a07f2a2f7f862f00976889abf0bb30fc9"
] | [
"src/languages/python/test-formatted/Pandas/series-test.py"
] | [
"import unittest\nimport pandas as pd\nimport numpy as np\nfrom pandas import Series\n\n# Using parts of Python for Data Analysis - Wes McKinney\n\nser1 = Series([1, 4, 6, 8])\nser2 = Series([1, 6, -1, 2, None], index=['g', 'r', 'a', 'z', 'u'])\n\n\nclass SeriesTestCase(unittest.TestCase):\n def using_series_test(... | [
[
"pandas.notnull",
"pandas.Series"
]
] |
FISHackathon2020/RAN | [
"cb5e1459f4d26bd619ba7244979fce277b44aba9",
"cb5e1459f4d26bd619ba7244979fce277b44aba9"
] | [
"python/envs/hackathon/lib/python3.7/site-packages/gensim/models/deprecated/word2vec.py",
"python/hackathon/src/google_word_similarity/trainer.py"
] | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# Copyright (C) 2013 Radim Rehurek <me@radimrehurek.com>\n# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html\n\n\n\"\"\"\nWarnings\n--------\n.. deprecated:: 3.3.0\n Use :mod:`gensim.models.word2vec` instead.\n\n\nProduce word vectors wit... | [
[
"numpy.dot",
"numpy.sqrt",
"scipy.special.expit",
"numpy.vstack",
"numpy.dtype",
"numpy.seterr",
"numpy.float32",
"numpy.outer",
"numpy.random.RandomState",
"numpy.zeros",
"numpy.sum",
"numpy.empty"
],
[
"sklearn.decomposition.PCA"
]
] |
jsexauer/pandas | [
"85703a7806ade5394fe511b8c433cdfca5428593"
] | [
"pandas/tests/test_frame.py"
] | [
"# -*- coding: utf-8 -*-\n\nfrom __future__ import print_function\n# pylint: disable-msg=W0612,E1101\nfrom copy import deepcopy\nfrom datetime import datetime, timedelta, time\nimport sys\nimport operator\nimport re\nimport csv\nimport nose\nimport functools\nimport itertools\nfrom itertools import product, permuta... | [
[
"pandas.util.testing.choice",
"pandas.merge",
"pandas.core.format.set_option",
"numpy.sqrt",
"pandas.DataFrame.from_csv",
"pandas.util.testing.assert_produces_warning",
"pandas.MultiIndex.from_tuples",
"pandas.compat.lzip",
"numpy.where",
"pandas.compat.OrderedDict",
"p... |
noahshpak/ray | [
"edd783bc327760a4892ab89222ee551e42df15b9",
"edd783bc327760a4892ab89222ee551e42df15b9"
] | [
"rllib/models/catalog.py",
"rllib/evaluation/per_policy_sample_collector.py"
] | [
"from functools import partial\nimport gym\nimport logging\nimport numpy as np\nimport tree\nfrom typing import List\n\nfrom ray.tune.registry import RLLIB_MODEL, RLLIB_PREPROCESSOR, \\\n RLLIB_ACTION_DIST, _global_registry\nfrom ray.rllib.models.action_dist import ActionDistribution\nfrom ray.rllib.models.model... | [
[
"numpy.product"
],
[
"numpy.concatenate",
"numpy.array",
"numpy.zeros"
]
] |
PhanatosZou/nltk | [
"750e488569b6f80c72ae6ca74eff90eae55e6c4e"
] | [
"nltk/metrics/scores.py"
] | [
"# Natural Language Toolkit: Evaluation\n#\n# Copyright (C) 2001-2019 NLTK Project\n# Author: Edward Loper <edloper@gmail.com>\n# Steven Bird <stevenbird1@gmail.com>\n# URL: <http://nltk.org/>\n# For license information, see LICENSE.TXT\n\nfrom math import fabs\nimport operator\nfrom random import shuffle\n... | [
[
"scipy.stats.stats.betai"
]
] |
nmaeder/UmbrellaPipeline | [
"b2b3d0cadd8d6660e7a617f6204be042efd2d40a"
] | [
"UmbrellaPipeline/tests/test_thorough.py"
] | [
"import os, pytest, time, math\nimport openmmtools\nfrom openmm import Vec3, unit, app\nimport numpy as np\nimport warnings\n\nfrom UmbrellaPipeline import UmbrellaPipeline\nfrom UmbrellaPipeline.analysis import PMFCalculator\nfrom UmbrellaPipeline.path_finding import (\n Tree,\n Grid,\n GridNode,\n Tre... | [
[
"numpy.zeros"
]
] |
MarceloJacinto/dsorlib | [
"5208919579726b73f088605885f6e1f0bf17d297"
] | [
"vehicles/disturbances/gaussian_disturbance.py"
] | [
"# MIT License\n#\n# Copyright (c) 2021 Marcelo Jacinto\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the rights\n# to us... | [
[
"numpy.maximum",
"numpy.minimum",
"numpy.random.normal",
"numpy.array",
"numpy.zeros"
]
] |
petergtz/io | [
"1f80d7dfcc824eb9803ea977228ae19249ade13f"
] | [
"tensorflow_io/core/python/ops/audio_io_tensor_ops.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 requ... | [
[
"tensorflow.TensorShape",
"tensorflow.name_scope",
"tensorflow.shape"
]
] |
abagaria/RBFDQN | [
"0b31d4083abf0b1a9721a7bb0411bbe3fd873422"
] | [
"novelty_classifier.py"
] | [
"import numpy as np\nfrom thundersvm import OneClassSVM\nfrom tqdm import tqdm\n\n\nclass NoveltyDetectionClassifier(object):\n def __init__(self, nu_high, nu_low, nu_resolution, gamma=\"scale\"):\n self.nu_high = nu_high\n self.nu_low = nu_low\n self.nu_resolution = nu_resolution\n\n ... | [
[
"numpy.arange",
"numpy.array",
"numpy.mean"
]
] |
cpcloud/ibis-bigquery | [
"e3997d42752ec49f4b8c8625097682b27ef4d350"
] | [
"ibis_bigquery/compiler.py"
] | [
"\"\"\"Module to convert from Ibis expression to SQL string.\"\"\"\n\nimport base64\nimport datetime\nfrom functools import partial\n\nimport ibis\nfrom ibis.backends.base.sql import compiler\n\ntry:\n import ibis.common.exceptions as com\nexcept ImportError:\n import ibis.common as com\n\nimport ibis.expr.da... | [
[
"numpy.isfinite"
]
] |
ggsonic/BertSum | [
"7f5ce04507e92f07d51dc823ed4e42873b35f4a6"
] | [
"src/models/encoder.py"
] | [
"import math\n\nimport torch\nimport torch.nn as nn\n\nfrom models.neural import MultiHeadedAttention, PositionwiseFeedForward\nfrom models.rnn import LayerNormLSTM\n\n\nclass Classifier(nn.Module):\n def __init__(self, hidden_size):\n super(Classifier, self).__init__()\n self.linear1 = nn.Linear(h... | [
[
"torch.nn.Dropout",
"torch.transpose",
"torch.zeros",
"torch.nn.LayerNorm",
"torch.nn.Sigmoid",
"torch.nn.Linear",
"torch.arange"
]
] |
mitdo/o2ac-ur | [
"f684f21fd280a22ec061dc5d503801f6fefb2422",
"f684f21fd280a22ec061dc5d503801f6fefb2422"
] | [
"catkin_ws/src/o2ac_routines/src/o2ac_routines/assembly.py",
"catkin_ws/src/o2ac_routines/src/o2ac_routines/robot_base.py"
] | [
"#!/usr/bin/env python\n\n# Software License Agreement (BSD License)\n#\n# Copyright (c) 2021, OMRON SINIC X\n# All rights reserved.\n#\n# Redistribution and use in source and binary forms, with or without\n# modification, are permitted provided that the following conditions\n# are met:\n#\n# * Redistributions of ... | [
[
"numpy.deg2rad"
],
[
"numpy.all",
"numpy.array"
]
] |
Lucmon/TopologyDetect | [
"79607f3ce39a1ee6ded41b2500629065cf1cfe51",
"79607f3ce39a1ee6ded41b2500629065cf1cfe51"
] | [
"e2efold_rt/experiment_rnastralign/e2e_learning_stage1_rnastralign_all_long.py",
"e2efold_rt/experiment_archiveii/e2e_learning_stage1.py"
] | [
"import os\nfrom e2efold.common.config import process_config\nfrom e2efold.common.utils import get_args\nargs = get_args()\n\nconfig_file = args.config\n\nconfig = process_config(config_file)\nprint(\"#####Stage 1#####\")\nprint('Here is the configuration of this run: ')\nprint(config)\nos.environ[\"CUDA_VISIBLE_DE... | [
[
"torch.utils.data.DataLoader"
],
[
"torch.utils.data.DataLoader"
]
] |
wslerry/sketch_simplification | [
"e47c95e9c77757d520725628937fe610ba04c8f9"
] | [
"simplify.py"
] | [
"import torch\nfrom torchvision import transforms\nfrom torchvision.utils import save_image\n#from torch.utils.serialization import load_lua\nimport torchfile\n\nfrom PIL import Image\nimport argparse\n\nparser = argparse.ArgumentParser(description='Sketch simplification demo.')\nparser.add_argument('--model', type... | [
[
"torch.cuda.device_count",
"torch.nn.ReplicationPad2d"
]
] |
ShrishtiHore/DL_Text_Predictor | [
"049696f1995b2e23b95f7283b07b37982c77b681"
] | [
"text_predictor.py"
] | [
"import tensorflow as tf\nfrom data_provider import DataProvider\nfrom rnn_model import RNNModel\nimport sys\nimport matplotlib\nimport numpy as np\nimport time\nmatplotlib.use(\"Agg\")\nimport matplotlib.pyplot as plt\n\n# Args\nif len(sys.argv) != 2:\n print(\"Please select a dataset.\")\n print(\"Usage: py... | [
[
"tensorflow.summary.FileWriter",
"matplotlib.pyplot.title",
"matplotlib.use",
"tensorflow.assign",
"matplotlib.pyplot.savefig",
"tensorflow.global_variables_initializer",
"tensorflow.summary.merge_all",
"numpy.mean",
"matplotlib.pyplot.close",
"tensorflow.Session",
"mat... |
arti1117/deep-learning-from-scratch | [
"6ee8cb8c16b396bfd7cb6ad6530c00bf503c6440"
] | [
"CHAPTER03/sigmoid.py"
] | [
"import numpy as np\n\ndef sigmoid(x):\n return 1 / (1 + np.exp(-x))\n\n"
] | [
[
"numpy.exp"
]
] |
danjampro/panoptes-utils | [
"ff51019cdd0e188cf5e8d8d70fc3579776a31716"
] | [
"src/panoptes/utils/images/bayer.py"
] | [
"from decimal import Decimal\nfrom enum import IntEnum\n\nimport numpy as np\nfrom astropy.io import fits\nfrom astropy.stats import SigmaClip\nfrom loguru import logger\nfrom panoptes.utils.images import fits as fits_utils\nfrom photutils import Background2D\nfrom photutils import BkgZoomInterpolator\nfrom photuti... | [
[
"numpy.ma.array",
"numpy.array",
"numpy.ones_like"
]
] |
tsalo/rapidtide | [
"9e0faff6e9796c21bd62d4b98c309034c0eba766"
] | [
"rapidtide/OrthoImageItem.py"
] | [
"#!/usr/bin/env python\n# -*- coding: latin-1 -*-\n#\n# Copyright 2016-2021 Blaise Frederick\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.or... | [
[
"numpy.rint",
"numpy.round",
"numpy.max",
"numpy.zeros",
"numpy.where"
]
] |
JinxedQAQ/Generating-Talking-Face-with-Controllable-Eye-Movements-by-Disentangled-Blinking-Feature | [
"c1b68c010ccfb6b1d438dba97a1317ce0ae2aab8",
"c1b68c010ccfb6b1d438dba97a1317ce0ae2aab8"
] | [
"util/util.py",
"test_all_h_1v1.py"
] | [
"from __future__ import print_function\nimport torch\nimport numpy as np\nfrom PIL import Image\nimport inspect, re\nimport torch.nn as nn\nimport os\nfrom Options_all import BaseOptions\nimport collections\nconfig = BaseOptions().parse()\n\n\ndef tensor2im(image_tensor, imtype=np.uint8):\n image_numpy = image_t... | [
[
"torch.abs",
"numpy.min",
"torch.load",
"numpy.median",
"numpy.max",
"numpy.std",
"numpy.mean",
"numpy.transpose"
],
[
"torch.utils.data.DataLoader"
]
] |
bentzinir/baselines | [
"5ed3f9a37272f0b7d9db3daac5e1b0a442588ff3"
] | [
"baselines/her/paper_utils/env_scripts.py"
] | [
"import sys\nfrom baselines.common.cmd_util import common_arg_parser\nfrom baselines.run import parse_cmdline_kwargs\nfrom baselines.her.metric_diversification import MetricDiversifier\nfrom baselines.her.cover_measure import init_from_point\nimport gym\n#import gym_maze\nimport numpy as np\nimport time\nfrom basel... | [
[
"numpy.minimum",
"numpy.asarray",
"numpy.set_printoptions",
"numpy.zeros_like",
"numpy.mean"
]
] |
hank-ai/gradio | [
"00af5ec1abbaa3160ec45f58a22909f6453f7182"
] | [
"gradio/interface.py"
] | [
"\"\"\"\nThis is the core file in the `gradio` package, and defines the Interface class, including methods for constructing the\ninterface using the input and output types.\n\"\"\"\n\nimport gradio\nfrom gradio.inputs import InputComponent\nfrom gradio.outputs import OutputComponent\nfrom gradio import networking, ... | [
[
"tensorflow.get_default_graph",
"tensorflow.keras.backend.get_session"
]
] |
ykaitao/gluon-ts | [
"9622550974e9e0819e25438fc45353f8a6474b55",
"9622550974e9e0819e25438fc45353f8a6474b55"
] | [
"src/gluonts/model/deepstate/issm.py",
"evaluations/show_results.py"
] | [
"# Copyright 2018 Amazon.com, Inc. or its affiliates. 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# A copy of the License is located at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# or ... | [
[
"pandas.tseries.frequencies.to_offset"
],
[
"pandas.DataFrame"
]
] |
matangover/Wave-U-Net | [
"6f44febbda3cb685d92f9e0b84e7f06e13d03fba"
] | [
"scripts/preprocess.py"
] | [
"from sacred import Experiment\nfrom Config import config_ingredient\nimport tensorflow as tf\nimport numpy as np\nimport os\n\nimport Datasets\nimport Utils\nimport Models.UnetAudioSeparator\n\nex = Experiment('Waveunet Preprocessing', ingredients=[config_ingredient])\n\n@ex.config\n# Executed for training, sets t... | [
[
"numpy.array"
]
] |
NCAR/mom6-tools | [
"e5a605eab97013a421a7ea8a93ae950f9e429730"
] | [
"mom6_tools/stats.py"
] | [
"#!/usr/bin/env python\n\n\"\"\"\nFunctions used to calculate statistics.\n\"\"\"\n\nimport xarray as xr\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom mom6_tools.DiagsCase import DiagsCase\nfrom mom6_tools.ClimoGenerator import ClimoGenerator\nfrom mom6_tools.m6toolbox import genBasinMasks, request_wor... | [
[
"numpy.isnan",
"numpy.ma.masked_invalid",
"matplotlib.pyplot.close"
]
] |
deniztas/Dota2-Winner | [
"bc3f033c87cfdf00dd7bbe3e4e38f0efb1c58dc3"
] | [
"dota2.py"
] | [
"from helper import DataControl, DatasetFormatter, JsonReader, Scorer\nimport pandas as pd\nimport numpy as np\nfrom time import time as getTime\nimport matplotlib.pyplot as plt\nfrom sklearn import model_selection\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.tree import DecisionTreeClassifier... | [
[
"sklearn.neural_network.MLPClassifier",
"pandas.read_csv",
"sklearn.model_selection.cross_val_score",
"sklearn.model_selection.train_test_split",
"sklearn.model_selection.KFold",
"sklearn.neighbors.KNeighborsClassifier",
"matplotlib.pyplot.show"
]
] |
GCES-Pydemic/pydemic-ui | [
"8e3d8bc9f73887edf6bd8ab78a4ead29fe8239ed"
] | [
"pydemic_ui/apps/sitrep/abstract.py"
] | [
"import pandas as pd\n\nimport mundi\nimport sidekick as sk\nfrom pydemic_ui import st\nfrom pydemic_ui.i18n import _\n\nDISPLAY_NAME = _(\"Abstract\")\nABSTRACT = _(\n \"\"\"\n## Update from the last 24 hours (as {date} Brasilia Time)\n\n**{cases}** additional cases and **{deaths}** additional deaths reported f... | [
[
"pandas.Series"
]
] |
dcbau/FreeGrid | [
"f9d72bbaa92b5da3d9c7d480981f6aedd559ecce",
"75a4754fc2bdc2e05e682b7fcac017d05f9c3185"
] | [
"GUI/main_window.py",
"grid_improving/angular_distance.py"
] | [
"# -*- coding: utf-8 -*-\n\n\nfrom PyQt5 import QtCore, QtGui, QtWidgets\nimport numpy as np\nimport os\nfrom GUI.audio_device_widget import AudioDeviceWidget\nfrom GUI.plot_widget import PlotWidget, PlotWidget_HPIRs, PlotWidget_HPCF\n\nuse_vispy = True\ntry:\n from GUI.vispyWidget import VispyCanvas\nexcept Imp... | [
[
"numpy.array"
],
[
"numpy.dot",
"numpy.ones_like",
"numpy.sqrt",
"numpy.einsum",
"numpy.clip",
"numpy.cos",
"numpy.sin",
"numpy.arctan2"
]
] |
OptimalDesignLab/pyStatReduce | [
"9ea128409b91dd582e574e2e1cc153572b6c60a4",
"9ea128409b91dd582e574e2e1cc153572b6c60a4"
] | [
"pystatreduce/doc/plot/plot_hadamard/run_hadamard_eigen_accuracy.py",
"pystatreduce/optimize/rosenbrock/pyopt_uq_rosenbrock.py"
] | [
"# run_hadamard_eigen_accuracy\nimport os\nimport sys\nimport errno\n\nimport numpy as np\nimport chaospy as cp\n\nfrom pystatreduce.stochastic_collocation import StochasticCollocation\nfrom pystatreduce.quantity_of_interest import QuantityOfInterest\nfrom pystatreduce.dimension_reduction import DimensionReduction\... | [
[
"numpy.diag",
"numpy.min",
"numpy.linalg.norm",
"numpy.max",
"numpy.mean",
"numpy.random.randn",
"numpy.savetxt"
],
[
"numpy.eye",
"numpy.ones"
]
] |
JappaB/Active_Learning_Object_Detection | [
"3d9ad367aa872cbf3e9d71c566042c78fe2d0e76"
] | [
"active_learning_package/voc_eval_helpers.py"
] | [
"import os\nimport numpy as np\nimport pickle\nimport xml.etree.ElementTree as ET\nimport time\nimport sys\n\nimport torch\nfrom torch.autograd import Variable\n\nimport data\nfrom . import helpers\n\n\ndef eval(test_dataset, args, net, al_iteration, eval_ensemble_idx = 99999, epochs_test = False, train_iters = Non... | [
[
"numpy.maximum",
"numpy.minimum",
"numpy.linspace",
"numpy.arange",
"numpy.cumsum",
"numpy.sort",
"numpy.finfo",
"numpy.concatenate",
"numpy.max",
"numpy.argmax",
"numpy.mean",
"numpy.where",
"torch.cuda.is_available",
"numpy.argsort",
"numpy.array",
... |
thomasbarillot/DAQ | [
"20126655f74194757d25380680af9429ff27784e"
] | [
"eTOF/ADQAPI_python/FWPD/modules/example_helpers.py"
] | [
"import ctypes as ct\r\nimport sys\r\nimport matplotlib.pyplot as plt\r\nimport matplotlib.patches as patches\r\nimport numpy as np\r\nimport os\r\n\r\n# Setup for individual channels, these are default values\r\nclass channel_setup:\r\n def __init__(self, channel):\r\n # Set channel\r\n self.channel = chann... | [
[
"numpy.append",
"matplotlib.patches.Rectangle",
"matplotlib.pyplot.draw"
]
] |
qnity/insurance_python | [
"8dff5e365e3749b76adaeea90d89909af5f3c1b0"
] | [
"stationary-bootstrap/StationaryBootstrap.py"
] | [
"import numpy as np\r\n\r\ndef StationaryBootstrap(data: np.ndarray, m, sampleLength)-> np.ndarray:\r\n \"\"\"\r\n Returns a bootstraped sample of the time-series \"data\" of length \"sampleLength. \r\n The algorithm used is stationary bootstrap from 1994 Politis & Romano.\r\n \r\n Args: \r\n ... | [
[
"numpy.random.uniform",
"numpy.zeros",
"numpy.random.randint"
]
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.