repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
CameleoGrey/ProfitTM | [
"d5af3f3b9a3a6c278316089331f981e77fb81ebc"
] | [
"profittm/TreeProfitTM.py"
] | [
"from profittm.ProfitTM import ProfitTM\nimport numpy as np\nimport pandas as pd\nfrom profittm.save_load import save, load\nimport networkx as nx\nimport uuid\nfrom profittm.graph_draw import plotGraph\nfrom sklearn.preprocessing import OneHotEncoder\n\n\nclass TreeProfitTM():\n\n def __init__(self, maxDepth=No... | [
[
"pandas.DataFrame",
"numpy.array",
"sklearn.preprocessing.OneHotEncoder",
"numpy.unique"
]
] |
anahm/inferring-population-preferences | [
"1eec9c6966e65c615f3cf5bd769ab121369b926d"
] | [
"val_code/bimixture_mh.py"
] | [
"\r\nimport numpy as np\r\nimport scipy\r\nimport scipy.stats\r\n\r\n\r\ndef run(data, n_iter = 1000):\r\n\r\n samples = [None for i in range(n_iter)]\r\n values = [None for i in range(n_iter)]\r\n\r\n samples[0] = np.random.normal(size = 3)\r\n values[0] = log_like(samples[0], data)\r\n\r\n for i in... | [
[
"numpy.random.normal",
"scipy.stats.norm.logpdf",
"numpy.log",
"numpy.copy",
"numpy.exp",
"numpy.random.random",
"scipy.misc.logsumexp"
]
] |
vankhoa21991/selfsup | [
"34b21264db719265bb073441867d1a4f14836ce9"
] | [
"libs/model/backbone/.ipynb_checkpoints/model_AE-checkpoint.py"
] | [
"# Torch\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nimport torchvision.models as models\n\nclass Autoencoder(nn.Module):\n def __init__(self):\n super(Autoencoder, self).__init__()\n # Input size: [batch, 3, 512, 512]\n # Output size: ... | [
[
"torch.nn.Linear",
"torch.nn.Sigmoid",
"torch.nn.ConvTranspose2d",
"torch.nn.ReLU",
"torch.reshape"
]
] |
mrbot-ai/deep_qa | [
"a1731331e12b921b4dbb43433f9c028b362495e8"
] | [
"deep_qa/contrib/background_search/retrieval_encoders.py"
] | [
"from collections import OrderedDict\nimport gzip\nimport logging\nfrom typing import List\n\nimport numpy\nfrom overrides import overrides\nimport pyhocon\nimport spacy\nimport tqdm\n\nfrom ...common.models import get_submodel\nfrom ...common.params import replace_none, Params\nfrom ...common import util\nfrom ...... | [
[
"numpy.random.uniform",
"numpy.asarray",
"numpy.zeros"
]
] |
Spenhouet/MONAI | [
"fb66ba0625c3a64ba7cdba9811a9997b336e3702"
] | [
"monai/data/test_time_augmentation.py"
] | [
"# Copyright 2020 - 2021 MONAI Consortium\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# http://www.apache.org/licenses/LICENSE-2.0\n# Unless required by applicable law or agre... | [
[
"numpy.concatenate",
"numpy.std",
"torch.Tensor",
"numpy.mean"
]
] |
anywayTsao/dicom_project | [
"69991d371e5605dfa36c04393b78737f829285a2"
] | [
"utils/categorical_focal_loss.py"
] | [
"\"\"\"Multiclass focal loss implementation.\"\"\"\n# __ _ _\n# / _| | | | |\n# | |_ ___ ___ __ _ | | | | ___ ___ ___\n# | _| / _ \\ / __| / _` | | | | | / _ \\ / __| / __|\n# | | | (_) | | (__ | (_| | | | | | | (_) | \\... | [
[
"tensorflow.dtypes.cast",
"tensorflow.convert_to_tensor",
"tensorflow.shape",
"tensorflow.keras.backend.epsilon",
"tensorflow.reshape",
"tensorflow.transpose",
"tensorflow.nn.sparse_softmax_cross_entropy_with_logits",
"tensorflow.clip_by_value",
"tensorflow.gather",
"tensor... |
juls-dotcom/python_workshop | [
"ba4b8061910490f4e1c1236ce2c0ad12ef02a671"
] | [
"notebooks/lecture/02-pandas/display_functions.py"
] | [
"import pandas as pd\nfrom itertools import islice\nfrom ipywidgets import HBox\nfrom ipywidgets import HTML\nfrom IPython.display import display\n\npd.set_option('max_colwidth', 20)\n\n\ndef df_HBox(objects, names=None, px=50):\n children = []\n space_html = HTML('<span style=\"padding-left:{}px\">'.format(p... | [
[
"pandas.set_option"
]
] |
deepcam-cn/3D-CNN-BERT-COVID19 | [
"58adc7d570a016b48c48829e26b1f326bba91d4a"
] | [
"BERT/video_transforms.py"
] | [
"from __future__ import division\nimport torch\nimport random\nimport numpy as np\nimport numbers\nimport types\nimport cv2\nimport math\nimport os, sys\nimport collections\nfrom skimage.transform import warp, AffineTransform\nfrom PIL import Image\n\nimport torchvision.transforms.functional as TF\n\ncv2.setNumThre... | [
[
"numpy.concatenate",
"numpy.logical_or",
"numpy.array",
"numpy.uint8",
"numpy.random.binomial",
"numpy.isnan",
"numpy.zeros",
"numpy.ascontiguousarray",
"numpy.min",
"numpy.flipud",
"numpy.fliplr",
"numpy.random.uniform",
"numpy.random.randint",
"torch.tenso... |
mitming/mmselfsup | [
"5b5cb474776291cfcb9a1140afd11b696e11fcab"
] | [
"tests/test_models/test_algorithms/test_cae.py"
] | [
"# Copyright (c) OpenMMLab. All rights reserved.\nimport platform\n\nimport pytest\nimport torch\n\nfrom mmselfsup.models.algorithms import CAE\n\n# model settings\nbackbone = dict(type='CAEViT', arch='b', patch_size=16, init_values=0.1)\nneck = dict(\n type='CAENeck',\n patch_size=16,\n embed_dims=768,\n ... | [
[
"torch.zeros",
"torch.rand"
]
] |
Freakwill/pyrimidine | [
"ff05998f110a69a002180d0dae2ae514a5807cfb"
] | [
"pyrimidine/benchmarks/cluster.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\nimport numpy as np\nimport numpy.linalg as LA\n\nclass KMeans:\n \"\"\"KMeans clustering Problem\n\n min J(c,mu)=sum_i ||xi-mu_ci||\n where xi in ci\n \"\"\"\n def __init__(self, X, n_components=2):\n self.X = X\n self.n_components = n... | [
[
"numpy.random.normal",
"numpy.mean",
"numpy.vstack"
]
] |
ishine/Cross-Speaker-Emotion-Transfer | [
"9d38e8058f5abc06167bac244d8ace083e2a6220"
] | [
"model/loss.py"
] | [
"import torch\r\nimport torch.nn as nn\r\n\r\n\r\nclass XSpkEmoTransLoss(nn.Module):\r\n \"\"\" XSpkEmoTrans Loss \"\"\"\r\n\r\n def __init__(self, preprocess_config, model_config, train_config):\r\n super(XSpkEmoTransLoss, self).__init__()\r\n self.alpha = train_config[\"loss\"][\"alpha\"]\r\n ... | [
[
"torch.zeros_like",
"torch.nn.MSELoss",
"torch.nn.BCELoss",
"torch.nn.L1Loss"
]
] |
DeepHiveMind/autokeras | [
"735fce7f5b21befc5d20b768df628951c619a086"
] | [
"autokeras/tasks/time_series_forecaster.py"
] | [
"import pandas as pd\n\nfrom autokeras import auto_model\nfrom autokeras import blocks\nfrom autokeras import nodes as input_module\nfrom autokeras.tasks.structured_data_mixin import StructuredDataMixin\nfrom autokeras.tuners import greedy\n\n\nclass SupervisedTimeseriesDataPipeline(StructuredDataMixin, auto_model.... | [
[
"pandas.read_csv"
]
] |
walkerasindave/spotmidify | [
"f83bca08881bdf48e5e583e8931890e9eaf4069f"
] | [
"spotify.py"
] | [
"import time\nimport asyncio\nfrom typing import List\nimport threading\nimport numpy as np\n\n\nimport spotipy\nfrom spotipy.oauth2 import SpotifyOAuth\n\nfrom eventhook import EventHook\n\n\nclass NotPlayingError(Exception):\n def __init__(self):\n self.message = \"Spotify not playing\"\n\n\nclass Monit... | [
[
"numpy.quantile",
"numpy.mean"
]
] |
Anysomeday/FDSSC | [
"c924ea06c7853bf4e66e04c115fd51e0441500ff"
] | [
"evaluate_model.py"
] | [
"# -*- coding: utf-8 -*-\nimport numpy as np\nimport scipy.io as sio\nfrom keras.utils.np_utils import to_categorical\nfrom keras.optimizers import Adam, SGD, Adadelta, RMSprop, Nadam\nimport time, datetime\nimport collections\nfrom sklearn import metrics, preprocessing\nfrom operator import truediv\nfrom Utils imp... | [
[
"sklearn.metrics.confusion_matrix",
"numpy.asarray",
"numpy.zeros",
"numpy.lib.pad",
"numpy.sum",
"numpy.random.seed",
"scipy.io.loadmat",
"numpy.random.shuffle",
"numpy.mean",
"sklearn.preprocessing.scale",
"sklearn.metrics.accuracy_score",
"numpy.prod",
"numpy... |
lizhangjie316/ComputerVision | [
"86d82358bd160074d154773df0284e1154a6d077"
] | [
"01-python/source code/05_matplotlib/01.py"
] | [
"import numpy as np\n\nimport matplotlib.pyplot as plt\n\nx = np.linspace(-1,1,50)\n#y = 2*x+1\ny = x**2\n\nprint(x)\n\nplt.plot(x,y)\nplt.show()\n\n"
] | [
[
"matplotlib.pyplot.show",
"numpy.linspace",
"matplotlib.pyplot.plot"
]
] |
tillenius/superglue | [
"4f4fe917b4d7a11cb971f349a885bef4e869ae75"
] | [
"scripts/drawsched.py"
] | [
"#!/usr/bin/env python\n\nimport sys\nimport re\n\n#from matplotlib import rc\n#\n#rc('text', usetex=True)\n#rc('font', **{'family':'serif', 'serif':['Computer Modern Roman'], \n# 'monospace': ['Computer Modern Typewriter']})\n\n##################################################\n# CO... | [
[
"matplotlib.pyplot.text",
"matplotlib.pyplot.fill",
"matplotlib.pyplot.ylim",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.yticks",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.show"
]
] |
ttyskg/ProgrammingCompetition | [
"65fb9e131803e4f1a1a6369e68ed1b504f08b00f"
] | [
"AtCoder/AGC/033/a.py"
] | [
"#ref: https://atcoder.jp/contests/agc033/submissions/5260580\n\nimport sys\nimport numpy as np\n\ndef main():\n input = sys.stdin.readline\n H, W = map(int, input().split())\n INF = H * W\n dp = [[INF if c == '.' else 0 for c in input().strip()] for _ in range(H)]\n dp = np.array(dp)\n\n for i in... | [
[
"numpy.max",
"numpy.array",
"numpy.minimum"
]
] |
CirQ/DCGAN-tensorflow | [
"d58c84b9631b7364abb76274bfa1a06ea132f5c8"
] | [
"model.py"
] | [
"from __future__ import division\nimport os\nimport time\nimport math\nfrom glob import glob\nimport tensorflow as tf\nimport numpy as np\nfrom six.moves import xrange\n\nfrom ops import *\nfrom utils import *\n\ndef conv_out_size_same(size, stride):\n return int(math.ceil(float(size) / float(stride)))\n\nclass DC... | [
[
"tensorflow.ones_like",
"tensorflow.train.get_checkpoint_state",
"tensorflow.reshape",
"tensorflow.zeros_like",
"tensorflow.nn.tanh",
"tensorflow.global_variables_initializer",
"numpy.concatenate",
"tensorflow.trainable_variables",
"tensorflow.train.Saver",
"tensorflow.vari... |
Yash-10/yt | [
"023680e3a7bd1000d601727e02a55e72b4cbdc75"
] | [
"yt/geometry/coordinates/cylindrical_coordinates.py"
] | [
"import numpy as np\n\nfrom yt.utilities.lib.pixelization_routines import pixelize_cartesian, pixelize_cylinder\n\nfrom .coordinate_handler import (\n CoordinateHandler,\n _get_coord_fields,\n _setup_dummy_cartesian_coords_and_widths,\n _setup_polar_coordinates,\n cartesian_to_cylindrical,\n cylin... | [
[
"numpy.full",
"numpy.array",
"numpy.zeros"
]
] |
furaga/mmpose | [
"1ec4ff329e6e3d58a2bc221b0b4b70eed6a4cf0e"
] | [
"tests/test_pipelines/test_bottom_up_pipelines.py"
] | [
"# Copyright (c) OpenMMLab. All rights reserved.\nimport copy\nimport os.path as osp\n\nimport numpy as np\nimport pytest\nimport xtcocotools\nfrom xtcocotools.coco import COCO\n\nfrom mmpose.datasets.pipelines import (BottomUpGenerateHeatmapTarget,\n BottomUpGeneratePAFTarget,... | [
[
"numpy.array",
"numpy.ceil",
"numpy.random.rand",
"numpy.zeros",
"numpy.ones",
"numpy.sqrt"
]
] |
LaudateCorpus1/lingvo | [
"5c69d8afbffca222cf9d357d54e0eb4d09e92764"
] | [
"lingvo/core/tpu_embedding_layers.py"
] | [
"# Lint as: python3\n# 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... | [
[
"tensorflow.python.tpu.tpu_embedding.tpu_ops.load_tpu_embedding_ftrl_parameters",
"tensorflow.python.tpu.tpu_embedding.DeviceConfig",
"tensorflow.python.tpu.tpu_embedding.TPUEmbedding",
"tensorflow.python.tpu.tpu_embedding.FeatureConfig",
"tensorflow.python.tpu.tpu_embedding.tpu_ops.load_tpu_e... |
lbumbolo/ShapeVariationAnalyzer | [
"976e22cbacc87fb593d92e24cbdbba6c99a64060"
] | [
"ShapeVariationAnalyzer/Resources/Classifier/trainNeuralNetwork.py"
] | [
"from __future__ import print_function\nimport os\nimport sys\nfrom six.moves import cPickle as pickle\nimport numpy as np\nimport tensorflow as tf\nimport neuralNetwork as nn\n# import inputData\nimport argparse\nimport json\nimport shutil\nimport zipfile\nimport math\n\n\n# ---------------------------------------... | [
[
"tensorflow.summary.scalar",
"tensorflow.Graph",
"tensorflow.Session",
"tensorflow.train.Saver",
"tensorflow.constant",
"tensorflow.placeholder",
"tensorflow.name_scope",
"tensorflow.nn.softmax",
"numpy.arange",
"tensorflow.summary.merge_all",
"tensorflow.summary.FileWr... |
ZFTurbo/keras-retinanet | [
"f0999e1f90b47ebc95fda10b3461fcc0388e5fcc"
] | [
"keras_retinanet/bin/train.py"
] | [
"#!/usr/bin/env python\n\n\"\"\"\nCopyright 2017-2018 Fizyr (https://fizyr.com)\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\nUnless ... | [
[
"tensorflow.device"
]
] |
hayao-k/aws-cost-explorer-api-samples | [
"fe21a520ff2dd1da4d16c2fa18f1feaa84b79457"
] | [
"daily-cost-by-account/lambda_function.py"
] | [
"from logging import getLogger, INFO\nimport os\nimport datetime\nimport boto3\nimport pandas\nfrom botocore.exceptions import ClientError\n\nlogger = getLogger()\nlogger.setLevel(INFO)\n\ndef upload_s3(output, key, bucket):\n try:\n s3_resource = boto3.resource('s3')\n s3_bucket = s3_resource.Buck... | [
[
"pandas.concat",
"pandas.DataFrame",
"pandas.merge",
"pandas.json_normalize"
]
] |
CarloGraziani/BayesVaccineEfficacy | [
"895a1069de97eabff0fcae4de47e72d3f788ae73"
] | [
"vb.py"
] | [
"#!/usr/bin/python3\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom priors import *\nimport sys\nsys.path.insert(0,\".\")\n\n############## Job Control ##################################\n# Default values, overridden by vb_in.py\n#\njobctl_0 = {\n \"trials\" : {\n \"Pfizer (Final)\" : {\"n_p\":... | [
[
"numpy.max",
"numpy.zeros",
"numpy.log",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.close",
"numpy.exp",
"matplotlib.pyplot.figure",
"numpy.arange",
"numpy.argsort",
"numpy.searchsorted"
]
] |
linesd/Image-Classification | [
"e4dd9d5883bb25e0a730ea05a1d42eeee6d6a6ae"
] | [
"classifier/training.py"
] | [
"\nimport torch\nimport logging\nfrom timeit import default_timer\n\nclass Trainer():\n \"\"\"\n Class to handle training of model.\n Parameters\n ----------\n model: disvae.vae.VAE\n optimizer: torch.optim.Optimizer\n loss_f: disvae.models.BaseLoss\n Loss function.\n device: torch.de... | [
[
"torch.device"
]
] |
atharva-naik/HeadlineGen | [
"cbb36cfd6faa8ce36009eae6eddf6a073c10d9d8"
] | [
"preprocess.py"
] | [
"import os \nimport re \nimport copy\nimport json\nimport tqdm\nimport emoji\nimport sklearn \nimport pandas as pd\nfrom string import ascii_letters, digits\nfrom nltk.tokenize.punkt import PunktSentenceTokenizer \n\ndef lower(text):\n return text.lower()\n\ndef strip(text):\n return text.strip()\n\ndef filt... | [
[
"pandas.DataFrame",
"pandas.read_excel",
"pandas.read_csv"
]
] |
latour-a/mole | [
"3e838d827bd6c2b1257dcf82acfbd02c8829d1ff"
] | [
"tests/test_makedata.py"
] | [
"# coding: utf8\n\"\"\"\nTeste les fonctions du module basecase.\n\"\"\"\n\nimport time\nimport shutil\nimport tempfile\nimport numpy as np\nfrom mole import makedata as mk\n\nclass TemporaryDirectory(object):\n \"\"\"\n Context manager pour gérer un répertoire temporaire (implémenté dans le\n module `temp... | [
[
"numpy.all",
"numpy.product",
"numpy.random.randint"
]
] |
mengli/MachineLearning | [
"107a5be76aabbfd57a6395a6b7e1b9c55e06bbad"
] | [
"kaggle/zillow/missing_data.py"
] | [
"import pandas as pd\nimport matplotlib.pyplot as plt\n\nproperties_data = pd.read_csv('C:\\\\Users\\\\jowet\\\\Downloads\\\\zillow\\\\properties_2017.csv', low_memory=False)\n\nmissing_df = properties_data.isnull().sum(axis=0).reset_index()\nmissing_df.columns = ['column_name', 'missing_count']\nmissing_df = missi... | [
[
"matplotlib.pyplot.show",
"pandas.read_csv"
]
] |
georgefang/vega | [
"977054e12dd3bc1c96bbe35f18d5db4bc82d0522"
] | [
"vega/algorithms/nas/esr_ea/esr_search.py"
] | [
"# -*- coding:utf-8 -*-\n\n# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.\n# This program is free software; you can redistribute it and/or modify\n# it under the terms of the MIT License.\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; withou... | [
[
"numpy.asarray",
"numpy.min",
"numpy.save",
"numpy.stack",
"numpy.random.randint",
"numpy.cumsum",
"pandas.read_csv"
]
] |
tomsilver/pytorch-a2c-ppo-acktr | [
"8b714843eafe8fad622281a0ca8337ccb5f65895"
] | [
"null_agent.py"
] | [
"from gym import spaces\n\nimport numpy as np\n\n\nclass NullAgent(object):\n\n def __init__(self, action_space):\n self.action_space = action_space\n self.discrete = isinstance(action_space, spaces.Discrete)\n\n def act(self, observation, reward, done):\n if self.discrete:\n r... | [
[
"numpy.zeros"
]
] |
betaveros/voxx | [
"33b37f1efca061fa4651b934fb302199b87a8d08"
] | [
"buffers.py"
] | [
"#####################################################################\n#\n# buffers.py\n#\n# Copyright (c) 2017, Eran Egozy\n#\n# Released under the MIT License (http://opensource.org/licenses/MIT)\n#\n#####################################################################\n\nimport numpy as np\n\n\n# First-in First... | [
[
"numpy.arange",
"numpy.zeros"
]
] |
paramraghavan/kids-py-learn | [
"cf9f032bc7c13104837ec9eaefb5bdaafc158fe2"
] | [
"src/funstuff/zoom_word_cloud.py"
] | [
"'''\nCreate background image for online work meetings and interviews.\nReferenced from :\nhttps://towardsdatascience.com/fun-valentines-day-gift-ideas-for-python-programmers-a27e87b9211b\n'''\nfrom wordcloud import WordCloud, STOPWORDS\nimport imageio\nimport matplotlib.pyplot as plt\n\ntext = 'bigdata,pyspark,aws... | [
[
"matplotlib.pyplot.show",
"matplotlib.pyplot.axis",
"matplotlib.pyplot.imshow"
]
] |
GF1447571253/YOLOX-main | [
"ca9ba43558306968a219cb941a0d23cc476837b1"
] | [
"tools/train.py"
] | [
"#!/usr/bin/env python3\n# -*- coding:utf-8 -*-\n# Copyright (c) Megvii, Inc. and its affiliates.\n\nimport argparse\nimport random\nimport sys\nimport warnings\nfrom loguru import logger\n\nimport torch\nimport torch.backends.cudnn as cudnn\n\nfrom yolox.core import Trainer, launch\nfrom yolox.exp import get_exp\n... | [
[
"torch.manual_seed"
]
] |
julien-vial-detambel/worldengine | [
"554747846d3e1d38921afd66be8459c5c9553554"
] | [
"worldengine/imex/__init__.py"
] | [
"try:\n from osgeo import gdal\nexcept ImportError:\n try:\n import gdal\n except ImportError:\n print(\"Unable to load GDAL support, no heightmap export possible.\")\n\nimport numpy\nimport os\nimport sys\nimport tempfile\n\n'''\nUseful CLI tools:\npython worldengine export seed_24106.world ... | [
[
"numpy.copy"
]
] |
divshacker/qiskit-ode | [
"3b5d7afb1a80faea9b489f1d79b09c1e52580107"
] | [
"test/ode/test_solve_lmde.py"
] | [
"# This code is part of Qiskit.\n#\n# (C) Copyright IBM 2020.\n#\n# This code is licensed under the Apache License, Version 2.0. You may\n# obtain a copy of this license in the LICENSE.txt file in the root directory\n# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.\n#\n# Any modifications or ... | [
[
"scipy.linalg.expm",
"numpy.array",
"numpy.linalg.eigh",
"numpy.eye",
"numpy.allclose",
"numpy.cos",
"numpy.diag"
]
] |
LucasTsui0725/TextBox | [
"bb96e16bcfa63a7f84461b5678f7718566385a8d"
] | [
"textbox/module/Discriminator/TextGANDiscriminator.py"
] | [
"# @Time : 2020/11/24\n# @Author : Tianyi Tang\n# @Email : steventang@ruc.edu.cn\n\nr\"\"\"\nTextGAN Discriminator\n#####################\n\"\"\"\n\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom textbox.model.abstract_generator import UnconditionalGenerator\n\n\nclass TextGANDiscrimi... | [
[
"torch.nn.Linear",
"torch.nn.Dropout",
"torch.cat",
"torch.nn.ModuleList",
"torch.nn.MaxPool2d",
"torch.nn.ReLU",
"torch.nn.Conv2d",
"torch.tensor",
"torch.ones_like",
"torch.zeros_like",
"torch.exp",
"torch.nn.Embedding",
"torch.nn.functional.binary_cross_entro... |
FrancaCassol/cta-lstchain | [
"6f98711c8bb7464ac3781abc0b9de054477eefad"
] | [
"lstchain/datachecks/dl1_checker.py"
] | [
"\"\"\"\nFunctions to check the contents ofLST DL1 files and associated muon ring files\n\"\"\"\n\n__all__ = [\n 'check_dl1',\n 'process_dl1_file',\n 'plot_datacheck',\n 'plot_trigger_types',\n 'plot_mean_and_stddev',\n 'merge_dl1datacheck_files'\n]\n\nimport h5py\nimport logging\nimport matplotli... | [
[
"matplotlib.pyplot.text",
"numpy.median",
"numpy.mean",
"pandas.read_hdf",
"scipy.stats.sem",
"scipy.stats.poisson.cdf",
"matplotlib.pyplot.colorbar",
"matplotlib.pyplot.subplots",
"numpy.sqrt",
"numpy.append",
"numpy.array",
"matplotlib.backends.backend_pdf.PdfPage... |
Liang813/GaitGraph | [
"749aa32ce079f0afaa39b15a90c8f1664f864436"
] | [
"src/pose_estimator/utils.py"
] | [
"# ------------------------------------------------------------------------------\n# Copyright (c) Microsoft\n# Licensed under the MIT License.\n# Written by Bin Xiao (Bin.Xiao@microsoft.com)\n# ------------------------------------------------------------------------------\n\nimport math\n\nimport numpy as np\nimpo... | [
[
"numpy.array",
"numpy.dot",
"numpy.sin",
"numpy.zeros",
"numpy.tile",
"numpy.sign",
"numpy.float32",
"numpy.argmax",
"numpy.amax",
"numpy.cos",
"numpy.greater",
"numpy.floor"
]
] |
anandojha/gamd_we | [
"2e4feb1cf757cef2615f0bdeaeae52e07a2b3071"
] | [
"gamd_we/gamd_we_alanine_dipeptide.py"
] | [
"import matplotlib.image as mpimg\nimport matplotlib.style as style\nimport matplotlib.pyplot as plt\nfrom matplotlib import rcParams\nfrom simtk.openmm.app import *\nfrom simtk.openmm import *\nfrom simtk.unit import *\nfrom sys import stdout\nimport seaborn as sns\nfrom math import exp\nimport pandas as pd\nimpor... | [
[
"numpy.histogram",
"matplotlib.style.use",
"pandas.DataFrame",
"matplotlib.pyplot.savefig",
"matplotlib.image.imread",
"matplotlib.pyplot.close",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.pause",
"pandas.concat",
"matplotlib.pyplot.show",
"pandas.read_csv"
]
] |
srikanth-kilaru/fsdl-text-recognizer-project | [
"f1043d484f083c1fec09b4abd9fd569f42503d4c"
] | [
"lab2/text_recognizer/networks/line_cnn_sliding_window.py"
] | [
"import pathlib\nfrom typing import Tuple\n\nfrom boltons.cacheutils import cachedproperty\nimport numpy as np\nimport tensorflow as tf\nfrom tensorflow.keras.layers import Activation, Conv2D, Dense, Dropout, Flatten, Input, MaxPooling2D, Permute, Reshape, TimeDistributed, Lambda, ZeroPadding2D\nfrom tensorflow.ker... | [
[
"tensorflow.keras.layers.Lambda",
"tensorflow.keras.layers.Input",
"tensorflow.keras.layers.TimeDistributed",
"tensorflow.expand_dims",
"tensorflow.keras.layers.Reshape",
"tensorflow.keras.models.Model",
"tensorflow.keras.layers.Conv2D",
"tensorflow.squeeze"
]
] |
zen-juen/RealityBending.github.io | [
"c79c33eced03cba732b684698c81ba64e4bf887c"
] | [
"content/post/2021-11-12-complexity_neurokit/make_figs.py"
] | [
"import matplotlib.pyplot as plt\nimport neurokit2 as nk\n\nsignal = nk.signal_simulate(duration=2, sampling_rate=200, frequency=[5, 6], noise=0.5)\nnk.complexity_mfdfa(signal, show=True)\n\nfig = plt.gcf()\nfig.set_size_inches(10, 8, forward=True)\nfig.savefig(\"featured.png\", dpi=300, facecolor='w')\n"
] | [
[
"matplotlib.pyplot.gcf"
]
] |
zbr17/GeDML | [
"83f6f835e7c3319e32432b3013820f98476cc96c"
] | [
"src/gedml/core/datasets/online_products.py"
] | [
"import torch\nimport numpy as np \nfrom pandas import read_csv\nimport os\nfrom PIL import Image\nfrom .base_dataset import BaseDataset\n\nclass OnlineProducts(BaseDataset):\n \"\"\"\n `Stanford Online Products <https://cvgl.stanford.edu/projects/lifted_struct/>`_\n \"\"\"\n def _set_dataset_info(self)... | [
[
"numpy.array",
"numpy.unique"
]
] |
JakobWegmann/election_calculator | [
"16c9fabc045a75259da9413bce9f4ba027e9f63f"
] | [
"src/data_management/load_data.py"
] | [
"import os\nimport pickle\n\nimport numpy as np\nimport pandas as pd\n\n\nuser = \"Dominik\"\n\nif user == \"Dominik\":\n os.chdir(\"/home/dominik/Dokumente/election_calculator/src/data_management/\")\nelse:\n pass\n\nif user == \"Jakob\":\n os.chdir(\n \"C:/Users/jakob/sciebo/Bonn/6th_semester/elec... | [
[
"pandas.read_csv"
]
] |
jianpengz/MB-DCNN | [
"17777be932a1435d22eab655f1c33fcd0a4b41e1"
] | [
"generate_Coarse_mask.py"
] | [
"import torch\r\nimport cv2\r\nimport numpy as np\r\nimport torch.backends.cudnn as cudnn\r\nimport os\r\nfrom tqdm import tqdm\r\nfrom skimage import io\r\nfrom net.models import deeplabv3plus\r\nfrom dataset.my_datasets import MyGenDataSet\r\nfrom torch.utils import data\r\n\r\n\r\ndef generate_mode_seg0(dataload... | [
[
"torch.cat",
"torch.nn.DataParallel",
"torch.no_grad",
"torch.rot90",
"torch.softmax",
"numpy.argmax",
"torch.load",
"numpy.int64",
"torch.flip"
]
] |
METASPACE2020/sm-engine | [
"01d214223b36d44ba63dd5b35a162b55094b4d27"
] | [
"sm/engine/tests/test_png_generator.py"
] | [
"import numpy as np\nfrom numpy.testing import assert_almost_equal, assert_equal\nfrom png import Reader\n\nfrom sm.engine.png_generator import PngGenerator\n\n\ndef test_png_gen_greyscale_works():\n alpha_ch = np.array([[1, 1, 1]])\n gen = PngGenerator(alpha_ch, greyscale=True)\n\n img_data = np.array([[0... | [
[
"numpy.array",
"numpy.testing.assert_equal"
]
] |
matteodeggi/SC3-CVRP | [
"41c8f86bdcf5c1ceb684d3e267330c03446e5509"
] | [
"Utils/Simulation.py"
] | [
"import time\nimport pandas as pd\nfrom datetime import timedelta\nfrom haversine import haversine\nfrom Shift import Shift\n\n'''\nClasse che astrae la simulazione di un intero periodo.\n'''\nclass Simulation:\n def __init__(self, depot, config, window_size=6, max_size=175, filter_function = None, filter_kwargs={... | [
[
"pandas.to_datetime",
"pandas.concat"
]
] |
z-bingo/FastDVDNet | [
"11da30bb98705560c763ea2eea5045bc7c5562b2"
] | [
"utils/file_utils.py"
] | [
"import os, sys, shutil\nimport torch\nimport glob\n\ndef rm_sub_files(path):\n shutil.rmtree(path)\n os.mkdir(path)\n\ndef load_checkpoint(path='./models', is_best=True):\n if is_best:\n ckpt_file = os.path.join(path, 'model_best.pth.tar')\n else:\n files = glob.glob(os.path.join(path, '{... | [
[
"torch.save",
"torch.load"
]
] |
ZJU-RL/zjurl | [
"5c85eb11babb69a09604a04f0eb7bdc5a96f08f0"
] | [
"rllite/RainbowDQN/RainbowDQN.py"
] | [
"import math\nimport random\nimport gym\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nimport torch\nimport torch.nn as nn\nimport torch.optim as optim\nimport torch.autograd as autograd\nimport torch.nn.functional as F\n\nfrom rllite.common import NoisyLinear\nfrom rllite.common import ReplayBuffer\nfrom ... | [
[
"torch.nn.Linear",
"torch.zeros",
"torch.FloatTensor",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.title",
"torch.linspace",
"numpy.mean",
"matplotlib.pyplot.figure",
"torch.nn.ReLU",
"numpy.float32",
"torch.cuda.is_available",
"torch.LongTensor",
"torch.nn.Con... |
hookSSi/metrics | [
"a1116cb0edbe95db606912c9c05ae9c35fc983e2"
] | [
"torchmetrics/classification/accuracy.py"
] | [
"# Copyright The PyTorch Lightning team.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law... | [
[
"torch.tensor"
]
] |
solveforj/pandemic-central | [
"e295e52c16c35a7db069cc10fc0ebcc0eb7db18c"
] | [
"publication/misc_stats.py"
] | [
"import pandas as pd\nimport numpy as np\nimport glob\n\n__author__ = 'Duy Cao, Joseph Galasso'\n__copyright__ = '© Pandemic Central, 2021'\n__license__ = 'MIT'\n__status__ = 'release'\n__url__ = 'https://github.com/solveforj/pandemic-central'\n__version__ = '3.0.0'\n\nweeks = [1, 2, 3, 4]\ndates = [\"2020-11-01\",... | [
[
"pandas.to_datetime",
"pandas.merge",
"pandas.DataFrame",
"pandas.to_timedelta",
"numpy.mean",
"pandas.concat",
"matplotlib.pyplot.show",
"pandas.read_csv"
]
] |
Maria-philna/unilm | [
"5550a335c6d2ae5838b1a90e50cb46f81edcd50f"
] | [
"infoxlm/fairseq/fairseq/modules/lightweight_convolution.py"
] | [
"# Copyright (c) Facebook, Inc. and its affiliates.\n#\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\n\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\nfrom fairseq import utils\nfrom fairseq.modules.unfold impor... | [
[
"torch.nn.init.constant_",
"torch.nn.functional.dropout",
"torch.nn.init.xavier_uniform_",
"torch.bmm",
"torch.nn.functional.conv1d",
"torch.cuda.is_available",
"torch.nn.functional.softmax",
"torch.Tensor"
]
] |
Abhi-Tiw1/ML-pipeline | [
"a77e4ae5edc2b84564cae721338432c2a7251bcc"
] | [
"ml_pipeline_example.py"
] | [
"\n\"\"\"\nExample code\nCode implements the ml pipeline on the iris dataset to do binary calssification\n\"\"\"\n\nfrom sklearn import datasets\nfrom ml_pipeline import *\n\ndef run_ml_pipeline(X, y, fs_alg, nof, feats, clfrs, samp_type, no_out_vec, no_iters=50):\n\t\"\"\"Calls get_cv_out for X number of iternatio... | [
[
"sklearn.datasets.load_iris"
]
] |
guoanjie/CS224n | [
"ef80661aa7dc1fb5540a824b2f0571d7e357bb83"
] | [
"a5/highway.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\n\"\"\"\nCS224N 2018-19: Homework 5\n\"\"\"\n\n### YOUR CODE HERE for part 1h\nimport torch\nimport torch.nn as nn\n\n\nclass Highway(nn.Module):\n def __init__(self, features):\n super(Highway, self).__init__()\n self.proj = nn.Linear(in_features=... | [
[
"torch.nn.Linear"
]
] |
erum-omdena/ai-challenge-mars | [
"906bf82a7b647a0a430fc0caca18cb19806056e7"
] | [
"Mask_RCNN/mrcnn/visualize.py"
] | [
"\"\"\"\nMask R-CNN\nDisplay and Visualization Functions.\n\nCopyright (c) 2017 Matterport, Inc.\nLicensed under the MIT License (see LICENSE for details)\nWritten by Waleed Abdulla\n\"\"\"\n\nimport os\nimport sys\nimport random\nimport itertools\nimport colorsys\n\nimport numpy as np\nfrom skimage.measure import ... | [
[
"numpy.random.choice",
"numpy.random.rand",
"numpy.where",
"matplotlib.patches.Rectangle",
"numpy.concatenate",
"matplotlib.pyplot.subplots",
"numpy.arange",
"matplotlib.pyplot.tight_layout",
"matplotlib.pyplot.axis",
"matplotlib.pyplot.subplot",
"matplotlib.lines.Line2... |
leroidauphin/probability | [
"62e69c0221634480e1f9520144be6a5652761b41"
] | [
"tensorflow_probability/python/distributions/joint_distribution_coroutine.py"
] | [
"# Copyright 2018 The TensorFlow Probability 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 a... | [
[
"tensorflow.compat.v2.control_dependencies",
"tensorflow.compat.v2.get_static_value",
"tensorflow.python.util.nest.map_structure_up_to",
"tensorflow.compat.v2.nest.map_structure",
"tensorflow.compat.v2.convert_to_tensor",
"tensorflow.compat.v2.name_scope",
"tensorflow.python.util.nest.... |
WeilerP/scvelo | [
"1805ab4a72d3f34496f0ef246500a159f619d3a2"
] | [
"scvelo/core/_arithmetic.py"
] | [
"import warnings\nfrom typing import Optional, Union\n\nimport numpy as np\nfrom numpy import ndarray\nfrom scipy.sparse import issparse, spmatrix\n\n\ndef clipped_log(x: ndarray, lb: float = 0, ub: float = 1, eps: float = 1e-6) -> ndarray:\n \"\"\"Logarithmize between [lb + epsilon, ub - epsilon].\n\n Argume... | [
[
"scipy.sparse.issparse",
"numpy.einsum",
"numpy.clip"
]
] |
tperol/neuralnilm | [
"06bd6abc4db41140b65dfc0677677ef2aecff349"
] | [
"experiment_definitions/e575.py"
] | [
"from __future__ import print_function, division\n\n# Stop matplotlib from drawing to X.\n# Must be before importing matplotlib.pyplot or pylab!\nimport matplotlib\nmatplotlib.use('Agg')\n\nfrom lasagne.layers import InputLayer, DenseLayer, ReshapeLayer\n\nfrom neuralnilm.data.loadactivations import load_nilmtk_act... | [
[
"matplotlib.use"
]
] |
orcahmlee/ray | [
"20cf2edfef7103c269358a49a48c2159315ee132"
] | [
"python/ray/air/tests/test_rl_predictor.py"
] | [
"from typing import Optional\n\nimport gym\nimport numpy as np\nimport pandas as pd\nimport pytest\nimport tempfile\n\nfrom ray.air.predictors.integrations.rl.rl_predictor import RLPredictor\nfrom ray.air.preprocessor import Preprocessor\nfrom ray.air.checkpoint import Checkpoint\nfrom ray.air.train.integrations.rl... | [
[
"numpy.mean"
]
] |
brbzjl/my_graph_rcnn | [
"a758ca9ab837df70ff5a6c1ce0ac901afcbef24e",
"a758ca9ab837df70ff5a6c1ce0ac901afcbef24e"
] | [
"lib/model/graph_conv/graph_conv_score_unit.py",
"lib/model/faster_rcnn/faster_rcnn_cascade.py"
] | [
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom torch.autograd import Variable\n\nfrom model.utils.config import cfg\nimport numpy as np\nimport math\nimport pdb\nimport time\nimport pdb\nfrom model.utils.config import cfg\n\ndef normal_init(m, mean, stddev, truncated=False):\n if tru... | [
[
"torch.nn.Linear",
"torch.nn.functional.relu",
"torch.nn.ModuleList",
"torch.mm"
],
[
"torch.autograd.Variable",
"torch.nn.functional.cross_entropy",
"torch.nn.functional.softmax"
]
] |
sumeetkhatri/QuTIPy | [
"ca2a3344c1caa818504425496ea37278d80b1c44"
] | [
"qutipy/channels/depolarizing_channel_n_uses.py"
] | [
"'''\nThis code is part of QuTIpy.\n\n(c) Copyright Sumeet Khatri, 2021\n\nThis code is licensed under the Apache License, Version 2.0. You may\nobtain a copy of this license in the LICENSE.txt file in the root directory\nof this source tree or at http://www.apache.org/licenses/LICENSE-2.0.\n\nAny modifications or ... | [
[
"numpy.append",
"numpy.array",
"numpy.zeros",
"numpy.ones",
"numpy.argwhere"
]
] |
HFAiLab/ffrecord | [
"e916dc715ffa38a304a673ade7c5aa1efff5936d"
] | [
"benchs/bench_io.py"
] | [
"import sys\nimport time\nfrom pathlib import Path\nimport matplotlib.pyplot as plt\nimport multiprocessing as mp\nfrom multiprocessing import Process\n\nfrom ffrecord import FileWriter, FileReader\nfrom ffrecord.fileio import FileReader as PyFileReader\n\n\ndef read_chunk(reader, q):\n t0 = time.time()\n whi... | [
[
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.title",
"matplotlib.pyplot.ylabel"
]
] |
keshavchoudhary87/OG-India | [
"269ee172b837882c826ee7f99507d93f9643128e"
] | [
"ogindia/tests/test_firm.py"
] | [
"import pytest\nfrom ogindia import firm\nimport numpy as np\nfrom ogindia.parameters import Specifications\n\n\np1 = Specifications()\nnew_param_values = {\n 'Z': [2.0],\n 'gamma': 0.5,\n 'epsilon': 1.0\n}\n# update parameters instance with new values for test\np1.update_specifications(new_param_values)\n... | [
[
"numpy.allclose",
"numpy.array",
"numpy.ones"
]
] |
alencon/codecarbon | [
"a65e2f55b4121573763358ca2622cc38d3b5c76e"
] | [
"codecarbon/viz/carbonboard.py"
] | [
"import dash\nimport dash_bootstrap_components as dbc\nimport dash_core_components as dcc\nimport dash_table as dt\nimport fire\nimport pandas as pd\nfrom dash.dependencies import Input, Output\n\nfrom codecarbon.viz.components import Components\nfrom codecarbon.viz.data import Data\n\n\ndef render_app(df: pd.DataF... | [
[
"pandas.read_csv"
]
] |
PancakeAwesome/CRNN_tensorflow | [
"08fd19880d9c228e75aa1a642fc811932324be00"
] | [
"helper_demo.py"
] | [
"import numpy as np\nimport os\nimport shutil\n\ndef split_train_val(X, y, train_size):\n \"\"\"Split dataset for training and validation.\n 把数据集切分成训练集和验证集\n Args:\n X: A 1-D numpy array containing pathes of images.\n y: A 1-D numpy array containing labels.\n train_size: Size of tr... | [
[
"numpy.arange",
"numpy.random.choice",
"numpy.asarray",
"numpy.recfromtxt"
]
] |
LaGuer/K3D-jupyter | [
"7be6f413c8a4787d3f3b83654cd5f311fd6d615d"
] | [
"k3d/objects.py"
] | [
"import ipywidgets as widgets\nimport numpy as np\nfrom ipydatawidgets import DataUnion, data_union_serialization\nfrom traitlets import Unicode, Int, Float, List, Bool, Bytes, Integer, Dict, Union\nfrom traitlets import validate, TraitError\nfrom traittypes import Array\n\nfrom ._version import __version__ as vers... | [
[
"numpy.finfo",
"numpy.array"
]
] |
NLP-Zoo/ReRank | [
"fb125a35b8b9ae8241e237f92d001e29847bee34"
] | [
"distill_model.py"
] | [
"# -*- coding: utf-8 -*-\n# @Time : 2020/9/29 9:33\n# @Author : xiaolu\n# @FileName: Distill_Model.py\n# @Software: PyCharm\nimport torch\nfrom torch import nn\nfrom transformers import BertLayer\nfrom transformers import BertModel\nfrom transformers import BertConfig\n\n\nclass BertEmbeddings(nn.Module):\n ... | [
[
"torch.nn.Linear",
"torch.zeros",
"torch.nn.Dropout",
"torch.nn.LayerNorm",
"torch.arange",
"torch.nn.Embedding"
]
] |
embmike/Real-Time-Object-Detection-With-Yolo | [
"42c0b646c1e6794dbd8b9aa1e0002b4201981cfc"
] | [
"traffic_object_detection.py"
] | [
"from __future__ import division\nimport time\nimport torch \nimport torch.nn as nn\nfrom torch.autograd import Variable\nimport numpy as np\nimport cv2 \nfrom util import *\nfrom darknet import Darknet\nfrom preprocess import prep_image, inp_to_image, letterbox_image\nimport pandas as pd\nimport random \nimport pi... | [
[
"torch.min",
"torch.autograd.Variable",
"torch.no_grad",
"torch.FloatTensor",
"torch.clamp",
"torch.from_numpy",
"torch.cuda.is_available"
]
] |
KKowalewski24/MUM | [
"c70137e7646e33dd2c902d96ff8145e73ececc54"
] | [
"Task6/Program/module/CFS/entropy_estimators.py"
] | [
"# Written by Greg Ver Steeg (http://www.isi.edu/~gregv/npeet.html)\n\nimport random\nfrom math import log\n\nimport numpy as np\nimport numpy.random as nr\nimport scipy.spatial as ss\nfrom scipy.special import digamma\n\n\n# continuous estimators\n\ndef entropy(x, k=3, base=2):\n \"\"\"\n The classic K-L k-n... | [
[
"scipy.spatial.cKDTree",
"scipy.special.digamma",
"numpy.mean"
]
] |
aam-at/cleverhans_tf2 | [
"b5a122a8c8bd81c5f3cbaa58d63c4eb4dc5e344e"
] | [
"examples/multigpu_advtrain/resnet_tf.py"
] | [
"# https://github.com/tensorflow/models/blob/master/research/resnet/resnet_model.py\n#\n# 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 o... | [
[
"tensorflow.less",
"tensorflow.group",
"tensorflow.contrib.framework.get_or_create_global_step",
"tensorflow.compat.v1.train.MomentumOptimizer",
"tensorflow.compat.v1.variable_scope",
"tensorflow.gradients",
"tensorflow.add_n",
"tensorflow.stop_gradient",
"tensorflow.compat.v1.... |
theGreenJedi/neon | [
"b85ba0fbbb0458d8a8599e5ead335959b10318c1"
] | [
"tests/test_gru.py"
] | [
"# ----------------------------------------------------------------------------\n# Copyright 2015-2016 Nervana Systems Inc.\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# h... | [
[
"numpy.random.rand",
"numpy.zeros",
"numpy.sum",
"numpy.copy",
"numpy.random.randn",
"numpy.abs",
"numpy.random.random"
]
] |
KarizCache/serverless | [
"c5735afee29e104f3909f3b0140e993d461a5420"
] | [
"benchmark/task-bench/dask/task_bench_core.py"
] | [
"#!/usr/bin/env python\n#\n# Copyright 2020 Stanford University\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 req... | [
[
"numpy.empty"
]
] |
jstac/production_chains | [
"8e68ffab1902fa31f0bd839de142bd7cb4361777"
] | [
"assorted_plots.py"
] | [
"\"\"\"\nPlots used for the JET revision.\n\nAugust 2014\n\n\"\"\"\nfrom rp import *\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n\n\n# == Empirical data from Compustat == #\nyear = 2013\nfilename = 'compustat_data/USsales_{0}.csv'.format(year)\ndf = pd.read_csv(filename) \nsales = d... | [
[
"numpy.empty",
"numpy.log",
"numpy.exp",
"matplotlib.pyplot.subplots",
"numpy.sort",
"matplotlib.pyplot.show",
"pandas.read_csv"
]
] |
khangtran2020/contentDP | [
"d0d83c387f2d21fce342d0c445eb06ec928c1414"
] | [
"main/main_feat_edge_nus.py"
] | [
"import os\nimport warnings\nos.environ[\"CUDA_DEVICE_ORDER\"] = \"PCI_BUS_ID\"\nos.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0\"\nwarnings.filterwarnings(\"ignore\", category=DeprecationWarning)\nwarnings.simplefilter(action='ignore', category=FutureWarning)\nimport dgl\nimport numpy as np\nfrom tqdm import tqdm\nfrom... | [
[
"numpy.array",
"torch.cuda.is_available"
]
] |
facebookresearch/ContextualBO | [
"8e029d710ad9a06d4235b4872dab9fbcbe3ad6be"
] | [
"park_abr/run_park_non_contextual.py"
] | [
"# Copyright (c) Facebook, Inc. and its affiliates.\n#\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\n\nimport time\nimport json\n\nimport numpy as np\nfrom ax.modelbridge.generation_strategy import GenerationStep, GenerationStrategy\nf... | [
[
"numpy.array"
]
] |
jdvelasq/tech-miner | [
"85735b3b94b9d56784eafce73c7f9bee37d8c6ed"
] | [
"techminer/result.py"
] | [
"\"\"\"\nTechMiner.Result\n==================================================================================================\n\n\"\"\"\nimport altair as alt\nimport geopandas\nimport geoplot\nimport itertools\nimport matplotlib.pyplot as plt\nimport networkx as nx\nimport numpy as np\nimport pandas as pd\nimport s... | [
[
"matplotlib.pyplot.xlim",
"matplotlib.pyplot.clf",
"pandas.DataFrame",
"matplotlib.pyplot.ylim",
"matplotlib.pyplot.xticks",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.gca",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.figure",
"matplotlib.pyplot.plot",
"numpy.... |
dagss/numpy_svn | [
"69f75f8167694fc935357f135e63718c1c0e7242"
] | [
"numpy/lib/tests/test_function_base.py"
] | [
"import warnings\n\nfrom numpy.testing import *\nimport numpy.lib\nfrom numpy.lib import *\nfrom numpy.core import *\nfrom numpy import matrix, asmatrix\n\nimport numpy as np\n\nclass TestAny(TestCase):\n def test_basic(self):\n y1 = [0, 0, 1, 0]\n y2 = [0, 0, 0, 0]\n y3 = [1, 0, 1, 0]\n ... | [
[
"numpy.bincount",
"numpy.isinf",
"numpy.array",
"numpy.ma.fix_invalid",
"numpy.zeros",
"numpy.percentile",
"numpy.ones",
"numpy.interp",
"numpy.nanmin",
"numpy.float64",
"numpy.float32",
"numpy.ma.array",
"numpy.arange",
"numpy.linspace"
]
] |
eWaterCycle/streamingDataAssimilation | [
"00e05cbd45588439503c961e2f7c915baf30d8e6"
] | [
"EnKF.py"
] | [
"#! /usr/bin/env python\nimport numpy as np\nimport math\n\n\ndef EnKF(ensembleForecast, observationEnsemble, transformation):\n #use notation from Evenson 2003.\n \n p = 0.99 # % of Eigenvectors to include in svd method to ensure stability.\n\n A=ensembleForecast\n D=observationEnsemble\n H=trans... | [
[
"numpy.zeros",
"numpy.ones",
"numpy.shape",
"numpy.eye",
"numpy.diag"
]
] |
mmore500/tag-olympics | [
"23f89aa278b2866220696eddb89ecaa860e2d778"
] | [
"script/LowGraphAnalysisStatsPlot.py"
] | [
"import matplotlib\nmatplotlib.use('Agg')\nimport pandas as pd\nimport seaborn as sns\nimport sys\nfrom matplotlib import pyplot as plt\nimport seaborn as sns\nimport pandas as pd\nimport numpy as np\nfrom slugify import slugify\n\nfrom keyname import keyname as kn\nfrom fileshash import fileshash as fsh\n\n# open-... | [
[
"matplotlib.use",
"matplotlib.pyplot.savefig",
"pandas.read_csv"
]
] |
Fuann/TENET | [
"357ceacd7ef820932e4208c14d2d998d537010c8"
] | [
"sptk/compute_similar_score.py"
] | [
"#!/usr/bin/env python\n\n# wujian@2018\n\"\"\"\nCompute score for speaker varification tasks\n\"\"\"\n\nimport argparse\nimport numpy as np\n\nfrom libs.data_handler import NumpyReader, ScriptReader, parse_scps\nfrom libs.utils import get_logger\n\nlogger = get_logger(__name__)\n\n\ndef run(args):\n utt2spk = p... | [
[
"numpy.stack",
"numpy.transpose",
"numpy.linalg.norm"
]
] |
LukasSchaefer/lb-foraging | [
"11e9b2346713695192d247b97094ad5f1e7dd480"
] | [
"lbforaging.py"
] | [
"import argparse\nimport logging\nimport random\nimport time\nimport gym\nimport numpy as np\nimport lbforaging\n\n\nlogger = logging.getLogger(__name__)\n\n\ndef _game_loop(env, render):\n \"\"\"\n \"\"\"\n obs = env.reset()\n done = False\n\n if render:\n env.render()\n time.sleep(0.5... | [
[
"numpy.all"
]
] |
jimwwalker/perfrunner | [
"fda19ce9d860f8548b3feeb761b9a70598500cce"
] | [
"spring/querygen.py"
] | [
"from itertools import cycle\nfrom typing import List, Tuple\n\nfrom couchbase.n1ql import N1QLQuery\nfrom couchbase.views.params import ViewQuery\nfrom numpy import random\n\n\nclass ViewQueryGen:\n\n PARAMS = {\n 'limit': 30,\n 'stale': 'update_after',\n }\n\n QUERIES_PER_VIEW = {\n ... | [
[
"numpy.random.shuffle"
]
] |
darrenr10/web-scraping-challenge | [
"ae95871ed081465ac5202aefbac5088f09ab4a12"
] | [
"scrape_mars.py"
] | [
"from bs4 import BeautifulSoup as bs\nimport requests\nimport pymongo\nfrom splinter import Browser\nfrom flask import Flask, render_template, redirect\nfrom flask_pymongo import PyMongo\nimport pandas as pd\n\ndef br_browser():\n executable_path = {'executable_path': 'chromedriver.exe'}\n return Browser('chr... | [
[
"pandas.read_html"
]
] |
osanseviero/allennlp | [
"bffdbfd1a6da648145ee62556a1c01ba022eb0e4"
] | [
"allennlp/common/file_utils.py"
] | [
"\"\"\"\nUtilities for working with the local dataset cache.\n\"\"\"\nimport weakref\nfrom contextlib import contextmanager\nimport glob\nimport io\nimport os\nimport logging\nimport tempfile\nimport json\nfrom abc import ABC\nfrom collections import defaultdict\nfrom dataclasses import dataclass, asdict\nfrom date... | [
[
"numpy.frombuffer"
]
] |
wzj52501/Music-and-Mathematics-Term-Project | [
"59229c3abbff0d8458c9130a136ac95815dd29d4"
] | [
"eval.py"
] | [
"import numpy as np\nfrom scipy import stats\n\nnote_status=['A3', 'A-3', 'A--3', 'A#3', 'A##3', 'B3', 'B-3', 'B--3', 'B#3', 'B##3', 'C3', 'C-3', 'C--3', 'C#3', 'C##3', 'D3', 'D-3', 'D--3', 'D#3', 'D##3', 'E3', 'E-3', 'E--3', 'E#3', 'E##3', 'F3', 'F-3', 'F--3', 'F#3', 'F##3', 'G3', 'G-3', 'G--3', 'G#3', 'G##3', 'A4... | [
[
"scipy.stats.spearmanr"
]
] |
nicproulx/mne-python | [
"4b0f362df04b21249faf6c9a2495c71c337a14a8"
] | [
"mne/preprocessing/xdawn.py"
] | [
"# Authors: Alexandre Barachant <alexandre.barachant@gmail.com>\n# Asish Panda <asishrocks95@gmail.com>\n# Jean-Remi King <jeanremi.king@gmail.com>\n#\n# License: BSD (3-clause)\n\nimport numpy as np\nimport copy as cp\nfrom scipy import linalg\nfrom .ica import _get_fast_dot\nfrom .. import Evoke... | [
[
"numpy.concatenate",
"numpy.max",
"numpy.array",
"numpy.dot",
"scipy.linalg.toeplitz",
"numpy.asarray",
"numpy.zeros",
"scipy.linalg.eigh",
"numpy.linalg.pinv",
"numpy.tile",
"numpy.min",
"numpy.mean",
"numpy.apply_along_axis",
"numpy.sort",
"numpy.argso... |
vnshanmukh/nowcasting_dataset | [
"168305ba62abb035c4dbb2cf2089722b952e7311"
] | [
"nowcasting_dataset/time.py"
] | [
"\"\"\" Time functions \"\"\"\nimport logging\nimport random\nimport warnings\nfrom typing import Dict, Iterable, List, Tuple\n\nimport numpy as np\nimport pandas as pd\nimport pvlib\n\nfrom nowcasting_dataset import geospatial, utils\n\nlogger = logging.getLogger(__name__)\n\n\nFIVE_MINUTES = pd.Timedelta(\"5 minu... | [
[
"pandas.Timedelta",
"pandas.DataFrame",
"pandas.date_range",
"numpy.diff",
"pandas.concat",
"numpy.argwhere"
]
] |
vredzhepov/wfdb-python | [
"6be3066213eb87dc646ca61f23d1745adde86482"
] | [
"wfdb/io/tff.py"
] | [
"\"\"\"\nModule for reading ME6000 .tff format files.\n\nhttp://www.biomation.com/kin/me6000.htm\n\n\"\"\"\nimport datetime\nimport os\nimport struct\n\nimport numpy as np\n\n\ndef rdtff(file_name, cut_end=False):\n \"\"\"\n Read values from a tff file.\n\n Parameters\n ----------\n file_name : str\n... | [
[
"numpy.array",
"numpy.empty",
"numpy.fromfile"
]
] |
facebookresearch/hsd3 | [
"2fdacb3accf3056637d6420358a9349898f7de3f"
] | [
"hucc/agents/sacse.py"
] | [
"# Copyright (c) 2021-present, Facebook, Inc.\n#\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\n#\n\nimport logging\nfrom copy import copy, deepcopy\nfrom types import SimpleNamespace\nfrom typing import Any, Dict, List, Optional, Tuple... | [
[
"torch.cat",
"torch.nn.functional.one_hot",
"torch.arange",
"numpy.log",
"torch.no_grad",
"torch.nn.functional.mse_loss",
"torch.logical_not",
"torch.randint",
"numpy.prod",
"torch.tensor",
"torch.zeros_like"
]
] |
maartenbreddels/incubator-superset | [
"5616d7bdd72cb6d41caaf8733823d5d7dbe26abb"
] | [
"superset/connectors/sqla/models.py"
] | [
"# -*- coding: utf-8 -*-\n# pylint: disable=C,R,W\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\nfrom __future__ import unicode_literals\n\nfrom datetime import datetime\nimport logging\n\nfrom flask import escape, Markup\nfrom flask_appbuilder impor... | [
[
"pandas.DataFrame",
"pandas.read_sql_query"
]
] |
JulienPascal/master-s_thesis | [
"f697958b9a2f16642139301f20e1cf8f42328ddf"
] | [
"src/Calculate_volatility_wages.py"
] | [
"##########################################################\n# Calculate the volatility of the wages deciles in the US\n##########################################################\n# Use data from Jonathan Heathcote, Fabrizio Perri, Giovanni L. Violante\n# Unequal We Stand: An Empirical Analysis of Economic Inequali... | [
[
"numpy.mean",
"pandas.read_csv",
"matplotlib.pyplot.xticks",
"numpy.divide",
"numpy.log",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.subplots",
"numpy.arange",
"numpy.polyfit",
"matplotlib.pyplot.fill_between",
"numpy.poly1d",
"matplotlib.pyplot.title",
"nu... |
jotelha/smampppp | [
"729e4733b436e68adfe07bcaa39a47727d0c8dd8"
] | [
"fitESPconstrained.py"
] | [
"#!/usr/bin/env python\n\"\"\" Fits (united-atom) point charges onto (all-atom) ESP obtained by \n GPAW and HORTON under certain charge group and symmetry constraints \n as required by GROMOS force fields \"\"\"\n# script which should read in hortons old cost function and add new constraints\n\n# PLAN:\n# Wri... | [
[
"numpy.array",
"numpy.dot",
"numpy.linalg.matrix_rank",
"numpy.zeros",
"numpy.set_printoptions",
"numpy.block",
"numpy.ones",
"pandas.DataFrame",
"numpy.atleast_1d",
"numpy.arange",
"numpy.linalg.solve",
"numpy.hstack",
"pandas.read_csv",
"numpy.vstack",
... |
ZhangGongjie/Soft-NMS-for-Rotated-Rectangles | [
"52f274c16e68685f894ca0c5154a046ac658e490"
] | [
"softnms_rotate.py"
] | [
"# -*- coding: utf-8 -*-\n# Soft NMS for rotated rectangle, cpu implementation.\n# Author: Gongjie Zhang \n# GongjieZhang@ntu.edu.sg\n# or GongjieZhang007@gmail.com\n\nimport numpy as np\nimport cv2\n\ndef softnms_rotate_cpu(boxes, scores, iou_threshold, final_threshold=0.001):\n \"\"\"\n :param boxes: format... | [
[
"numpy.array"
]
] |
Ankur3107/swig | [
"b702933bc4a690cfb4820ca67f47523bc5f76376"
] | [
"global_utils/anchors.py"
] | [
"import numpy as np\nimport torch\nimport torch.nn as nn\nimport pdb\n\n\nclass Anchors(nn.Module):\n def __init__(self, pyramid_levels=None, strides=None, sizes=None, ratios=None, scales=None):\n super(Anchors, self).__init__()\n\n if pyramid_levels is None:\n self.pyramid_levels = [4, ... | [
[
"numpy.array",
"numpy.zeros",
"numpy.tile",
"numpy.arange",
"numpy.append",
"numpy.meshgrid",
"numpy.expand_dims"
]
] |
campagnola/pynwb | [
"b3f1034909ac4462378e79d0e438dc5b803e5fbf"
] | [
"tests/integration/ui_write/test_ecephys.py"
] | [
"import unittest2 as unittest\n\nimport numpy as np\n\nfrom pynwb.form.build import GroupBuilder, DatasetBuilder, LinkBuilder, RegionBuilder, ReferenceBuilder\n\nfrom pynwb.ecephys import * # noqa: F403\nfrom pynwb.misc import UnitTimes\n\nfrom . import base\n\n\nclass TestUnitTimesIO(base.TestDataInterfaceIO):\n\... | [
[
"numpy.array_equal"
]
] |
ksouvik52/hiresnn2021 | [
"05e48a0d87dcb2c2c18897c144b0e50e72967632"
] | [
"attack_model_spike_cnt.py"
] | [
"import torch.nn as nn\nimport math\nimport torch.nn.functional as F\nimport torch\nimport copy\nimport numpy as np\n\nclass Attack(object):\n\n def __init__(self, dataloader, criterion=None, gpu_id=0, \n epsilon=0.031, attack_method='pgd'):\n \n if criterion is not None:\n ... | [
[
"numpy.array",
"torch.min",
"torch.no_grad",
"torch.sign",
"torch.nn.functional.cross_entropy",
"torch.nn.CrossEntropyLoss"
]
] |
realgt/gpt-2 | [
"81258d0584ba8f3f436620361d0e035ab62deb54"
] | [
"src/interactive_conditional_samples.py"
] | [
"#!/usr/bin/env python3\n\nimport fire\nimport json\nimport os\nimport numpy as np\nimport tensorflow.compat.v1 as tf\n\nimport model, sample, encoder\n\ndef interact_model(\n model_name='117M',\n seed=None,\n nsamples=1,\n batch_size=1,\n length=None,\n temperature=1,\n top_k=0,\n top_p=0.0... | [
[
"tensorflow.compat.v1.placeholder",
"tensorflow.compat.v1.Graph",
"numpy.random.seed",
"tensorflow.compat.v1.train.Saver",
"tensorflow.compat.v1.set_random_seed"
]
] |
k-khr/python_for_bayes | [
"3dc2e2b2f20653489b5cb4880dd09599918d5056"
] | [
"pybayes_mcmc_sv.py"
] | [
"# -*- coding: utf-8 -*-\n#%% NumPyの読み込み\nimport numpy as np\n# SciPyのstatsモジュールの読み込み\nimport scipy.stats as st\n# Pandasの読み込み\nimport pandas as pd\n# PyMCの読み込み\nimport pymc3 as pm\n# MatplotlibのPyplotモジュールの読み込み\nimport matplotlib.pyplot as plt\n# 日本語フォントの設定\nfrom matplotlib.font_manager import FontProper... | [
[
"pandas.to_datetime",
"matplotlib.font_manager.FontProperties",
"matplotlib.pyplot.xlim",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.legend",
"numpy.exp",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.figure",
... |
resuelve/silk-ml | [
"7cabfdc50fcbc41efb5360afae0f8081c2df2b8b"
] | [
"silk_ml/scores.py"
] | [
"from sklearn.metrics import confusion_matrix\n\n\ndef ls_score(y, y_predicted):\n \"\"\" Score that punishes the false negative values, that goes from -1 to 1\n\n Args:\n y (list): 1d array-like, or label indicator array / sparse matrix\n ground truth (correct) labels.\n y_predicted ... | [
[
"sklearn.metrics.confusion_matrix"
]
] |
yuzhou42/pyOptimalMotionPlanning | [
"e95b73e1a2442e60d623258094fe249557a9e75b"
] | [
"pomp/planners/optimization.py"
] | [
"from __future__ import print_function,division\nfrom builtins import range\nfrom six import iteritems\n\nfrom ..spaces.objective import ObjectiveFunction\nfrom ..spaces.sets import Set\nfrom ..spaces.controlspace import ControlSpace\nfrom ..spaces.configurationspace import ConfigurationSpace\nimport math\nimport n... | [
[
"numpy.array",
"numpy.linalg.norm",
"numpy.empty",
"numpy.asarray",
"numpy.zeros",
"numpy.minimum",
"numpy.linalg.pinv",
"numpy.linalg.eig",
"numpy.outer",
"numpy.diag",
"numpy.maximum"
]
] |
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