repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
rietesh/pytorch_geometric | [
"2ccebcdbcc763943282822e08214dca0cfc81243"
] | [
"torch_geometric/datasets/wikipedia_network.py"
] | [
"from pathlib import Path\nfrom typing import Callable, Optional\n\nimport numpy as np\nimport torch\nfrom torch_sparse import coalesce\n\nfrom torch_geometric.data import Data, InMemoryDataset, download_url\n\n\nclass WikipediaNetwork(InMemoryDataset):\n r\"\"\"The Wikipedia networks introduced in the\n `\"M... | [
[
"torch.load",
"torch.from_numpy",
"torch.tensor",
"torch.stack",
"numpy.load"
]
] |
MIAGroupUT/IDIR | [
"9ab3ccfbbf09dc8fc65fa848332e7d9a0b3b81b3"
] | [
"models/models.py"
] | [
"import torch\nimport torch.nn as nn\nimport torch.optim as optim\nimport os\nimport tqdm\n\nfrom utils import general\nfrom networks import networks\nfrom objectives import ncc\nfrom objectives import regularizers\n\n\nclass ImplicitRegistrator:\n \"\"\"This is a class for registrating implicitly represented im... | [
[
"torch.nn.SmoothL1Loss",
"torch.add",
"torch.load",
"torch.randperm",
"torch.manual_seed",
"torch.cuda.is_available",
"torch.nn.L1Loss",
"torch.nn.HuberLoss",
"torch.subtract",
"torch.nn.MSELoss"
]
] |
Jojoxiao/Machine-Learning-for-Beginner-by-Python3 | [
"d9effcbb1b390dc608a0f4c0a28f0ad03892047a",
"d9effcbb1b390dc608a0f4c0a28f0ad03892047a"
] | [
"SVM/SVM_Regression/Sklearn_SVM_Regression.py",
"Boosting/LightGBM/LightGBM_Classify_adult.py"
] | [
"# -*- coding：utf-8 -*-\r\n# &Author AnFany\r\n\r\n# 利用Sklearn包实现支持核函数回归\r\n\r\n\"\"\"\r\n第一部分：引入库\r\n\"\"\"\r\n\r\n# 引入部分的北京PM2.5数据\r\nimport SVM_Regression_Data as rdata\r\n\r\n# 引入库包\r\nfrom sklearn import svm\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nfrom pylab import mpl\r\n\r\nmpl.rcParams['... | [
[
"matplotlib.pyplot.legend",
"matplotlib.pyplot.title",
"sklearn.svm.SVR",
"matplotlib.pyplot.subplot",
"matplotlib.pyplot.show",
"matplotlib.pyplot.hist"
],
[
"matplotlib.pyplot.legend",
"matplotlib.pyplot.title",
"matplotlib.pyplot.savefig",
"numpy.array",
"matplot... |
mfinzi/residual-pathway-priors | [
"f1b1910bd9cb69f3d6121fdb9b68e82d55db9983"
] | [
"RL/jax_rl/agents/awac/awac_learner.py"
] | [
"\"\"\"Implementations of algorithms for continuous control.\"\"\"\n\nfrom typing import Sequence, Tuple\n\nimport flax\nimport jax\nimport jax.numpy as jnp\nimport numpy as np\nimport optax\n\nimport jax_rl.agents.awac.actor as awr_actor\nimport jax_rl.agents.sac.critic as sac_critic\nfrom jax_rl.agents.actor_crit... | [
[
"numpy.asarray",
"numpy.clip"
]
] |
mabelcalim/Spectral-Diagram | [
"c668e4661866ff66eb63ff31c6ce8a79007ca210"
] | [
"SpecDiag.py"
] | [
"#!/usr/bin/python\n# _*_ coding: latin-1 -*-\n# Spectral Diagram\n# \"The Spectral Diagram as a new tool for model assessment in the frequency domain:\n# Application to a global ocean general circulation model with tides\"\n# Computers & Geosciences\n# Available online 8 November 2021, 104977\n# DOI : https://doi.... | [
[
"numpy.linspace",
"numpy.arctan2",
"numpy.max",
"numpy.zeros_like",
"numpy.mean",
"numpy.var",
"numpy.hstack",
"numpy.arange",
"numpy.ceil",
"matplotlib.pyplot.subplot",
"numpy.ma.zeros",
"matplotlib.pyplot.figure",
"numpy.arccos",
"matplotlib.pyplot.savefig... |
subhadeep-bis/Student_Attendace_System_OpenCv_DNN | [
"3f04de275fb4b7716cc76b3853adc7d657c88bc7"
] | [
"train_model.py"
] | [
"# packages\nfrom sklearn.preprocessing import LabelEncoder\nfrom sklearn.svm import SVC\nimport argparse\nimport pickle\n\n# construct the argument parser and parse the arguments\nap = argparse.ArgumentParser()\nap.add_argument(\"-e\", \"--embeddings\", required=True, help=\"path to serialized db of facial embeddi... | [
[
"sklearn.preprocessing.LabelEncoder",
"sklearn.svm.SVC"
]
] |
DaphneAntotsiou/Adversarial-Imitation-Learning-with-Trajectorial-Augmentation-and-Correction | [
"40feecaf43441cb29535001d2ba3c1277f1d0f9c"
] | [
"cat_dauggi/eval_utils.py"
] | [
"__author__ = 'DafniAntotsiou'\n\nfrom baselines.common import set_global_seeds\nimport os\nfrom cat_dauggi.tf_util import file_writer\nimport numpy as np\n\n\ndef csv_2_columnwise_dict(file):\n from collections import defaultdict\n from csv import DictReader\n\n columnwise_table = defaultdict(list)\n w... | [
[
"numpy.arange",
"tensorflow.train.latest_checkpoint"
]
] |
ChristoAdis/sumo-rl | [
"9ea20399fba53e5e1eed503905c27859f52a54f6"
] | [
"experiments/sb3.py"
] | [
"import json\nfrom datetime import datetime\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport psutil\nimport sumo_rl\nimport supersuit as ss\nimport torch\nfrom array2gif import write_gif\nfrom custom.model import CustomActorCriticPolicy\nfrom custom.utils import load_cfg, smooth_data\nfrom stable_base... | [
[
"numpy.linspace",
"matplotlib.pyplot.subplots",
"numpy.stack",
"numpy.mean",
"matplotlib.pyplot.show"
]
] |
omni-us/pytorch-retinanet | [
"8d3ee38d50df0afec2ab4dfa0eabb8219eb399f5"
] | [
"get_pagexmls.py"
] | [
"import numpy as np\nimport torchvision\nimport time\nimport os\nimport copy\nimport pdb\nimport time\nimport argparse\nimport pagexml\nimport sys\nimport cv2\nimport itertools\n\nimport torch\nfrom torch.utils.data import Dataset, DataLoader\nfrom torchvision import datasets, models, transforms\nfrom utils import ... | [
[
"torch.nn.Softmax",
"torch.load",
"torch.utils.data.DataLoader",
"torch.no_grad",
"torch.cuda.is_available",
"numpy.transpose",
"numpy.array"
]
] |
SWxTREC/pymsis | [
"cc4390fbdb65737a80cad15445c5a37ae24750f7"
] | [
"setup.py"
] | [
"#!/usr/bin/env python\n\n\"\"\"The setup script.\"\"\"\nimport os\nimport sys\nfrom numpy.distutils.core import Extension, setup\n\n# Some system's don't include the local directory on the\n# base Python path for some reason, so add it in directly\nsys.path.insert(0, os.getcwd())\nfrom pymsis import __version__\nf... | [
[
"numpy.distutils.core.Extension"
]
] |
qsdfo/AVGN | [
"3fdd7f0f19c59f401c4513b92bb009e3d2cae1e3"
] | [
"avgn/segment_song/preprocessing.py"
] | [
"from scipy.io import wavfile\nfrom scipy.signal import butter, lfilter\nimport numpy as np\nimport csv\nimport matplotlib\nimport matplotlib.pyplot as plt\nimport os\nimport sys\nfrom scipy import ndimage\nfrom datetime import datetime, timedelta\nimport avgn.spectrogramming.spectrogramming as sg\n\n# import local... | [
[
"numpy.squeeze",
"numpy.concatenate",
"numpy.max",
"scipy.ndimage.measurements.center_of_mass",
"numpy.mean",
"numpy.where",
"scipy.io.wavfile.read",
"scipy.signal.butter",
"numpy.argmax",
"matplotlib.pyplot.close",
"scipy.signal.lfilter",
"numpy.power",
"numpy.... |
Karthikeya254/FacialEmotionRecognition | [
"2cf402bd637cd9d66ce1c8233074d004df081847"
] | [
"ensemble_large.py"
] | [
"import numpy as np\nfrom sklearn.metrics import confusion_matrix\nimport tensorflow as tf\nfrom keras.models import Sequential, Model\nfrom keras.layers import Input, Dense, Dropout, Activation, Flatten, BatchNormalization, regularizers\nfrom keras.layers.noise import GaussianNoise\nfrom keras.layers import Conv2D... | [
[
"numpy.argmax",
"tensorflow.Session"
]
] |
JacobSal/Generalized-Sklearn-ML-Pipeline | [
"fafb9e577445c0b33afe4e4fd69fd60d28fb3eb2"
] | [
"src/d_modelTraining/main-SVM.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Wed Jan 13 19:02:19 2021\n\n@author: Jacob Salminen\n@version: 1.0.20\n\"\"\"\n#%% IMPORTS\nimport time\nimport numpy as np\nimport multiprocessing as mp\nimport os\nimport sys\nSCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))\nsys.path.append(os.path.dirname(SCRI... | [
[
"sklearn.model_selection.cross_val_score",
"numpy.unique",
"numpy.arange",
"sklearn.preprocessing.RobustScaler",
"numpy.std",
"numpy.mean",
"sklearn.svm.SVC",
"numpy.vstack",
"sklearn.metrics.accuracy_score"
]
] |
JohnBoxAnn/TSGL-EEGNet | [
"8920947338c7167ef1c344237e9351d21de85a8e"
] | [
"model_ensemble.py"
] | [
"import os\nimport sys\nimport json\nimport numpy as np\nimport tensorflow as tf\n\nfrom typing import ClassVar, Callable\nfrom core.training import crossValidate as _crossValidate\nfrom core.get_model import create_EEGNet, create_TSGLEEGNet\nfrom core.dataloaders import RawDataloader\nfrom core.dataloaders import ... | [
[
"tensorflow.keras.models.load_model",
"numpy.arange",
"numpy.squeeze",
"numpy.argmax",
"numpy.mean",
"numpy.array"
]
] |
taejoonlab/microbe-toolbox | [
"a3ff640d8730a05b178a1c369e721fef03e475d6"
] | [
"PigSepsis/plot-uc_report.py"
] | [
"#!/usr/bin/env python3\nimport sys\nimport numpy as np\n\nfilename_txt = sys.argv[1]\nsample_name = filename_txt.split('_')[1]\n\n#sample_list = ['feces','T00','T02','T04','T05','T06','T07','T08','T09','T10','T11','T12']\nsample_list = ['T00','T02','T04','T05','T06','T07','T08','T09','T10','T11','T12']\n\nppm_fece... | [
[
"numpy.add",
"matplotlib.pyplot.show",
"matplotlib.pyplot.figure"
]
] |
kevorkkeheian/DataScience | [
"4e81134e3e91e2b3970d00f11d645908d364de63"
] | [
"scripts/covid-19/covid19_detail.py"
] | [
"# To add a new cell, type '# %%'\n# To add a new markdown cell, type '# %% [markdown]'\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport pyodbc\n\n\nConfirmedCases = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/cs... | [
[
"pandas.read_csv",
"pandas.to_datetime",
"pandas.melt",
"pandas.pivot_table"
]
] |
codespeakers/trax | [
"9fc11bca7accda0394d629cac96558f4539d7f61"
] | [
"trax/rl/simulated_env_problem.py"
] | [
"# coding=utf-8\n# Copyright 2019 The Trax 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 app... | [
[
"numpy.abs",
"numpy.cos",
"numpy.full",
"numpy.logical_or",
"numpy.ones",
"numpy.copy",
"numpy.array",
"numpy.zeros",
"numpy.roll"
]
] |
markgordon/K210_Yolo_framework | [
"7ba70e93a3ef98f0bdc949527cb23b8a9a97250c",
"7ba70e93a3ef98f0bdc949527cb23b8a9a97250c"
] | [
"models/keras_mobilenet.py",
"get_anchor_list.py"
] | [
"\"\"\"MobileNet v1 models for Keras.\n\nMobileNet is a general architecture and can be used for multiple use cases.\nDepending on the use case, it can use different input layer size and\ndifferent width factors. This allows different width models to reduce\nthe number of multiply-adds and thereby\nreduce inference... | [
[
"tensorflow.python.keras.layers.DepthwiseConv2D",
"tensorflow.python.keras.layers.BatchNormalization",
"tensorflow.python.keras.layers.ReLU",
"tensorflow.python.keras.layers.ZeroPadding2D",
"tensorflow.python.keras.layers.LeakyReLU",
"tensorflow.python.keras.models.Model",
"tensorflow.... |
yosoyjay/project-nps-vessel-drift | [
"1cdc14ef87db31fa03b0c3bdc1d60c332727ef57"
] | [
"src/vessel-drift-analysis/scripts/analysis/create-portal-files.py"
] | [
"#!python\n\"\"\"Create files for portal ingestion from total hazard files.\"\"\"\nimport datetime\nimport logging\nfrom pathlib import Path\n\nimport geopandas as gpd\nimport pandas as pd\nfrom geopandas.io.file import infer_schema\n\nfrom vessel_drift_analysis.esi import ESI, clean_esi_string\n\n\nlogging.basicCo... | [
[
"pandas.concat"
]
] |
riegerfr/elektronn3 | [
"a1fab65914d8975e6d869a5711a84d4553935bd5"
] | [
"elektronn3/modules/lovasz_losses.py"
] | [
"# ELEKTRONN3 - Neural Network Toolkit\n#\n# Copyright (c) 2017 - now\n# Max Planck Institute of Neurobiology, Munich, Germany\n# Authors: Maxim Berman, Martin Drawitsch\n\n# This file is mostly copied from https://github.com/bermanmaxim/LovaszSoftmax.\n# Modifications for elektronn3:\n# - Support 5D images\n# - Av... | [
[
"torch.nn.functional.relu",
"numpy.array",
"torch.sort",
"torch.autograd.Variable"
]
] |
flaneuse/ntwk-explr-data | [
"bc60e8bff679af5bbe703685138a8c09a7846e10"
] | [
"src/data_prep/query_ngly1.py"
] | [
"# @name: query_ngly1.py\n# @title: run (test) queries on NGLY1 knowledge graph\n# @description: create sample queries to use in development of D3-visualizations of graph networks\n# @author: Laura Hughes\n# @email: lhughes@scripps.edu\n# @date: 13 February 2018\n\n# [0] Setup -------... | [
[
"pandas.concat",
"pandas.DataFrame"
]
] |
saitcakmak/Ax | [
"ba44961ea53379e18dffd2d273055947976150fa"
] | [
"ax/utils/testing/core_stubs.py"
] | [
"#!/usr/bin/env python3\n# 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\n\nfrom collections import OrderedDict\nfrom datetime import datetime\nfrom typing import Any, Dict, Iterable... | [
[
"pandas.DataFrame.from_records",
"torch.device",
"numpy.random.rand",
"numpy.random.seed"
]
] |
ykumthekar4929/pytorch_geometric | [
"aa01b996517614290b8437361ed9e2ee5b67cd05"
] | [
"torch_geometric/utils/geodesic.py"
] | [
"import torch\nimport numpy as np\nimport multiprocessing as mp\n\ntry:\n import gdist\nexcept ImportError:\n gdist = None\n\n\ndef geodesic_distance(pos, face, src=None, dest=None, norm=True,\n max_distance=None, num_workers=0):\n r\"\"\"Computes (normalized) geodesic distances of a m... | [
[
"numpy.arange",
"torch.from_numpy",
"torch.cat"
]
] |
jasonx1011/densecap-tensorflow | [
"a5f9c8d0c88af1a0d8488b41c239a288a3f21904"
] | [
"tests/roidata_test.py"
] | [
"# --------------------------------------------------------\n# DenseCap-Tensorflow\n# Written by InnerPeace\n# --------------------------------------------------------\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nfrom lib.fast_rcnn.layer import R... | [
[
"numpy.copy",
"numpy.array",
"numpy.where"
]
] |
gvanhorn38/multibox | [
"e25bbaa55a17dd66f752ba7d6636300a3b75ebac"
] | [
"model.py"
] | [
"import tensorflow as tf\n\nslim = tf.contrib.slim\n\n\ndef block35(net, scale=1.0, activation_fn=tf.nn.relu, scope=None, reuse=None):\n \"\"\"Builds the 35x35 resnet block.\"\"\"\n with tf.variable_scope(scope, 'Block35', [net], reuse=reuse):\n with tf.variable_scope('Branch_0'):\n tower_conv = slim.conv... | [
[
"tensorflow.concat",
"tensorflow.shape",
"tensorflow.reshape",
"tensorflow.sigmoid",
"tensorflow.variable_scope"
]
] |
jeysonmc/scikit-image | [
"d652a9ce9a71a3f6f13cb23ee7c5f25148457b24"
] | [
"skimage/exposure/unwrap.py"
] | [
"import numpy as np\nimport warnings\nfrom six import string_types\n\nfrom ._unwrap_1d import unwrap_1d\nfrom ._unwrap_2d import unwrap_2d\nfrom ._unwrap_3d import unwrap_3d\n\n\ndef unwrap_phase(image, wrap_around=False):\n '''From ``image``, wrapped to lie in the interval [-pi, pi), recover the\n original, ... | [
[
"numpy.ma.isMaskedArray",
"numpy.asarray",
"numpy.empty_like",
"numpy.zeros_like",
"numpy.require",
"numpy.ma.array"
]
] |
timesler/pytorch-project-template | [
"f8867d9b6b5c218b702d6675a16d208afe6f6402"
] | [
"train.py"
] | [
"from torch.utils.data import DataLoader\nfrom tensorboardX import SummaryWriter\n\nimport config\nfrom utils.training import pass_epoch\n\n\ndef train(model, loss_fn, optimizer, scheduler, train_loader, val_loader):\n writer = SummaryWriter('runs')\n\n for epoch in range(config.epochs):\n model.train(... | [
[
"torch.utils.data.DataLoader"
]
] |
rathijit/hummingbird | [
"0ebd6be58880615bc86eab3648056682b40de614",
"0ebd6be58880615bc86eab3648056682b40de614",
"0ebd6be58880615bc86eab3648056682b40de614"
] | [
"hummingbird/ml/operator_converters/sklearn/discretizer.py",
"hummingbird/ml/operator_converters/_tree_commons.py",
"hummingbird/ml/operator_converters/_one_hot_encoder_implementations.py"
] | [
"# -------------------------------------------------------------------------\n# Copyright (c) Microsoft Corporation. All rights reserved.\n# Licensed under the MIT License. See License.txt in the project root for\n# license information.\n# --------------------------------------------------------------------------\n... | [
[
"numpy.array"
],
[
"numpy.array",
"numpy.zeros",
"numpy.sum"
],
[
"torch.LongTensor",
"torch.cat",
"torch.eq",
"torch.nn.ParameterList",
"torch.IntTensor"
]
] |
invite-you/test | [
"52d1d75ca2d035cd332881fd2b971a455907d6fb"
] | [
"finetune_efficientnetb4.py"
] | [
"import os\nos.environ['CUDA_VISIBLE_DEVICES'] = '0'\n\nimport cv2\nimport keras\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom PIL import Image, ImageDraw\nimport pickle\nimport segmentation_models as sm\nimport tensorflow\nimport albumentations as A\n\nfrom sklearn.model_selection import StratifiedKFo... | [
[
"numpy.array",
"matplotlib.pyplot.yticks",
"matplotlib.pyplot.imshow",
"numpy.percentile",
"numpy.stack",
"numpy.concatenate",
"matplotlib.pyplot.subplot",
"numpy.random.permutation",
"matplotlib.pyplot.xticks",
"matplotlib.pyplot.show",
"matplotlib.pyplot.figure"
]
] |
lutaodai/gym-drl-pytorch | [
"6713e41e529f93cfb67c37524884171235338bd1"
] | [
"cartpole-v1/run_dqn.py"
] | [
"import gym\nfrom collections import namedtuple, deque\nimport matplotlib.pyplot as plt\nimport pandas as pd\nimport numpy as np\nimport torch\nfrom torch.optim import lr_scheduler\nimport os\nimport argparse\n\nfrom utils.replay_buffer import ReplayBuffer\nfrom utils.utils import str2bool, str2tuple, plot_scores, ... | [
[
"numpy.mean",
"torch.cuda.is_available"
]
] |
consbio/ncdjango | [
"d35a896bc8fe0de1168171ed0e450f654c231319"
] | [
"ncdjango/views.py"
] | [
"import io\nimport json\nimport math\nimport mimetypes\nimport os\nimport shutil\nimport tempfile\nfrom urllib import error, request, parse\n\nfrom PIL import Image\nfrom django.conf import settings\nfrom django.contrib.auth.decorators import login_required, permission_required\nfrom django.core.files import File\n... | [
[
"numpy.array",
"numpy.ma.core.is_masked",
"numpy.min"
]
] |
bryant1410/Mask-Align | [
"329690919d6885a8fcdf13beef6cf98ff6a2d51a"
] | [
"thualign/models/transformer_align.py"
] | [
"# coding=utf-8\n# Copyright 2021-Present The THUAlign Authors\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport math\nimport torch\nimport torch.nn as nn\n\nimport thualign.utils as utils\nimport thualign.modules as modules\n\nfrom thualign.... | [
[
"torch.nn.functional.embedding",
"torch.transpose",
"torch.ones",
"torch.cat",
"torch.nn.functional.dropout",
"torch.reshape",
"torch.sum",
"torch.matmul"
]
] |
tommasoc80/COVID19_emergency_event | [
"880b62ac34eafc5b10c84ddc504bc92c93761b5f"
] | [
"model/utils/tf_idf.py"
] | [
"from covid19_exceptius.types import *\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.decomposition import TruncatedSVD\nfrom sklearn.pipeline import Pipeline, FeatureUnion\n\nTfIdfTransform = Pipeline\n\n\ndef extract_tf_idfs(text: List[str],\n word_ngram_range: Tuple... | [
[
"sklearn.decomposition.TruncatedSVD",
"sklearn.pipeline.Pipeline",
"sklearn.feature_extraction.text.TfidfVectorizer"
]
] |
ricshaw/NiftyNet | [
"8bd7516fbadff9871414360c81eab6e8bf332048",
"8bd7516fbadff9871414360c81eab6e8bf332048"
] | [
"niftynet/engine/application_variables.py",
"niftynet/engine/windows_aggregator_classifier_multioutput.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nManaging tf.Tensor variables for initialising/evaluating networks\n\"\"\"\nfrom __future__ import absolute_import, print_function\n\nimport tensorflow as tf\n# pylint: disable=no-name-in-module\nfrom tensorflow.contrib.framework import list_variables\n\nfrom niftynet.io.misc_io imp... | [
[
"tensorflow.reduce_mean",
"tensorflow.get_collection",
"tensorflow.global_variables",
"tensorflow.variables_initializer",
"tensorflow.summary.merge_all",
"tensorflow.logging.fatal",
"tensorflow.contrib.framework.list_variables"
],
[
"numpy.reshape",
"numpy.isnan",
"nump... |
wwxFromTju/malib | [
"875338b81c4d87064ad31201f461ef742db05f25",
"875338b81c4d87064ad31201f461ef742db05f25"
] | [
"malib/policies/uniform_policy.py",
"malib/trainers/utils.py"
] | [
"# Created by yingwen at 2019-03-10\n\nfrom collections import OrderedDict\n\nimport tensorflow as tf\nimport numpy as np\nfrom malib.policies.base_policy import Policy\n\n\nclass UniformPolicy(Policy):\n def __init__(self, input_shapes, output_shape, action_range=(-1.0, 1.0)):\n super(UniformPolicy, self... | [
[
"tensorflow.concat",
"tensorflow.keras.Input",
"tensorflow.shape",
"tensorflow.keras.Model",
"tensorflow.math.log",
"numpy.array",
"tensorflow.keras.layers.Input"
],
[
"numpy.concatenate",
"tensorflow.constant"
]
] |
jxgu1016/BinActivateFunc_PyTorch | [
"43d13d5ba1d62b9f8c249bfe31894883e50c0f6f"
] | [
"src/cuda/setup.py"
] | [
"from setuptools import setup\nfrom torch.utils.cpp_extension import BuildExtension, CUDAExtension\n\nsetup(\n name='BinActivateFunc_cuda',\n ext_modules=[\n CUDAExtension('BinActivateFunc_cuda', [\n 'BinActivateFunc_cuda.cpp',\n 'BinActivateFunc_cuda_kernel.cu'\n ]),\n... | [
[
"torch.utils.cpp_extension.CUDAExtension"
]
] |
JSilva90/AuthorRankingPenalties | [
"7dd5517f390da4343c99405432ac17c5ff53d4f3"
] | [
"VenuesReader.py"
] | [
"#!/usr/bin/env python2\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Jun 25 11:36:41 2018\n\n@author: jorge\n\"\"\"\n\nimport pandas as pd\nimport numpy as np\nfrom sklearn.preprocessing import MinMaxScaler\n\nclass VenuesReader():\n \"\"\"\n it receives a filename to get the scores\n \"\"\"\n def _... | [
[
"numpy.array",
"pandas.read_csv"
]
] |
zszarka/csv2mongo | [
"f6145086d0a858148692646983ebb412a9bba307"
] | [
"csv2mongo_win.py"
] | [
"#! /usr/bin/python3\r\n# -*- coding: utf-8 -*-\r\n\"\"\"\r\nCreated on Wed Jun 21 15:15:01 2017\r\n\r\n@author: zsolt\r\n\"\"\"\r\nimport pandas as pd\r\nimport numpy as np\r\nfrom pandas.io.json import json_normalize\r\nfrom pymongo import MongoClient\r\nimport os\r\nimport json\r\n\r\ndef merge(dict1,dict2):\r\n... | [
[
"pandas.read_csv"
]
] |
shawn-mcguire/predicting-policy-outcomes | [
"43e5e7bbae7f158e5190365bcffce56ac2d9ca97"
] | [
"acc_stats_calculator.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Fri Jul 10 09:54:03 2020\n\n@author: shawnmcguire\n\"\"\"\n\n\"\"\"\nfor a selected model, calculates RF mean and std of\n 1. accuracy\n 2. balanced accuracy\n 3. AUC\nfrom user selected number of runs\n\nmodel A: p90, netIGA\nmodel B: ... | [
[
"pandas.DataFrame"
]
] |
jGaboardi/pointpats | [
"9a09bd7ff2c3b5402f02a0a54175193cb643edd8"
] | [
"pointpats/_deprecated_distance_statistics.py"
] | [
"\"\"\"\nDistance statistics for planar point patterns\n\n\"\"\"\n__author__ = \"Serge Rey sjsrey@gmail.com\"\n__all__ = [\n \"DStatistic\",\n \"G\",\n \"F\",\n \"J\",\n \"K\",\n \"L\",\n \"Envelopes\",\n \"Genv\",\n \"Fenv\",\n \"Jenv\",\n \"Kenv\",\n \"Lenv\",\n]\n\nfrom .proce... | [
[
"matplotlib.pyplot.legend",
"numpy.sqrt",
"matplotlib.pyplot.plot",
"numpy.int",
"numpy.append",
"numpy.any",
"matplotlib.pyplot.xlabel",
"numpy.array",
"numpy.exp",
"numpy.where",
"numpy.vstack"
]
] |
HamzaSardar/TorchFoam | [
"4b290efb09a441ddc76a8c45e990264cedeea03f"
] | [
"torchfoam/data_processing/data_cleaner.py"
] | [
"from typing import List, Dict\nfrom pathlib import Path\n\nimport numpy as np\n\n\nclass DataCleaner:\n\n def __init__(self, mode: str) -> None:\n\n \"\"\"DataCleaner - converts an OpenFoam results file into a numpy array.\n\n Parameters\n ----------\n mode: str\n 's' - Sc... | [
[
"numpy.fromstring"
]
] |
LemnX4/PointDipole | [
"79223498f6adce9d4f33939bd0173e9f7cd9132a"
] | [
"src/statistics.py"
] | [
"# vim: set et sw=4 ts=4 nu fdm=indent:\n# coding: utf8\n\n\nimport numpy as np\nimport random\n\nkB = 1.380649e-23\n\n\ndef normalize(p):\n part = 0.0\n for i in range(len(p)):\n part += p[i]\n for i in range(len(p)):\n p[i] /= part\n\ndef mean(l, p):\n s = 0.0\n for i in range(len(l))... | [
[
"numpy.array",
"numpy.exp",
"numpy.linspace"
]
] |
MADeCarvalho/Ghost-Writer | [
"37d169b886f7ad60405f62be2d1e0436894bf28d"
] | [
"write_to_video.py"
] | [
"# import the necessary packages\nfrom __future__ import print_function\nfrom imutils.video import VideoStream\nimport numpy as np \nimport argparse\nimport imutils\nimport time\nimport cv2\n\n# construct the argument parse and parse the arguments\nap = argparse.ArgumentParser()\nap.add_argument(\"-o\", \"--output\... | [
[
"numpy.zeros"
]
] |
vanoracai/Exploiting-Spatial-temporal-Relationships-for-3D-Pose-Estimation-via-Graph-Convolutional-Networks | [
"f83d8d377d2bd53cc1435b69a7e21ca90e9e0a37"
] | [
"train_graph_time.py"
] | [
"from tqdm import tqdm\nfrom utils.utils1 import *\nimport data.common.eval_cal as eval_cal\nimport torch\n\n\n\n\ndef step(split, opt, actions, dataLoader, model, criterion, optimizer=None):#, key_index=None\n\n # initialize some definitions\n num_data_all = 0\n\n loss_all_sum = {'loss_gt':AccumLoss(), 'l... | [
[
"torch.cuda.synchronize",
"torch.zeros"
]
] |
tallamjr/devito | [
"1e8d6af2cb8615e47ae20b68d5f2e30d530d03ff"
] | [
"tests/test_adjoint.py"
] | [
"import numpy as np\nimport pytest\n\nfrom conftest import skipif\nfrom devito import Operator, norm, Function, Grid, SparseFunction\nfrom devito.logger import info\nfrom examples.seismic import demo_model, Receiver\nfrom examples.seismic.acoustic import acoustic_setup\n\npytestmark = skipif(['yask', 'ops'])\n\npre... | [
[
"numpy.linspace",
"numpy.isclose"
]
] |
odidev/moviepy | [
"b19a690fe81b17fa582622d1c0ebe73e4e6380e7"
] | [
"tests/test_examples.py"
] | [
"\"\"\"MoviePy examples tests.\"\"\"\n\nimport os\n\nimport numpy as np\n\nimport pytest\n\nfrom moviepy.video.io.bindings import mplfig_to_npimage\nfrom moviepy.video.VideoClip import VideoClip\n\n\ntry:\n import matplotlib.pyplot\nexcept ImportError:\n matplotlib = None\nelse:\n matplotlib = True\n\n\n@p... | [
[
"numpy.sinc",
"numpy.linspace",
"matplotlib.pyplot.switch_backend",
"matplotlib.pyplot.subplots",
"numpy.sin"
]
] |
EXJUSTICE/pointnet2 | [
"749a38fde6370fc7dee535855008bc5bc8468c0e"
] | [
"models/pointnet2_cls_msg.py"
] | [
"import os\nimport sys\nBASE_DIR = os.path.dirname(__file__)\nsys.path.append(BASE_DIR)\nsys.path.append(os.path.join(BASE_DIR, '../utils'))\nimport tensorflow.compat.v1 as tf\ntf.disable_v2_behavior()\nimport numpy as np\nimport tf_util\nfrom pointnet_util import pointnet_sa_module, pointnet_sa_module_msg\n\ndef p... | [
[
"tensorflow.compat.v1.disable_v2_behavior",
"tensorflow.compat.v1.reduce_mean",
"tensorflow.compat.v1.reshape",
"tensorflow.compat.v1.zeros",
"tensorflow.compat.v1.add_to_collection",
"tensorflow.compat.v1.placeholder",
"tensorflow.compat.v1.Graph",
"tensorflow.compat.v1.summary.sc... |
timothyjlaurent/tensorflow | [
"be1f68e254d38a7545145731ded5873cb914e509"
] | [
"tensorflow/python/framework/function_test.py"
] | [
"# Copyright 2015 Google Inc. 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 required by appl... | [
[
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.reduce_sum",
"tensorflow.unpack",
"tensorflow.tanh",
"tensorflow.add_n",
"tensorflow.Graph",
"tensorflow.python.framework.function.Defun",
"tensorflow.gradients",
"tensorflow.test.main",
"tensorflow.python.framework.f... |
wesselb/lab | [
"e82b4b6629b7c35160972d1473e1f884e5f6a631"
] | [
"lab/tensorflow/generic.py"
] | [
"from types import FunctionType\nfrom typing import Callable\n\nimport tensorflow as tf\nimport tensorflow_probability as tfp\nfrom plum import Union\n\nfrom . import dispatch, B, Numeric, TFNumeric\nfrom .custom import tensorflow_register\nfrom ..custom import bvn_cdf, s_bvn_cdf\nfrom ..types import TFDType, Int, ... | [
[
"tensorflow.sign",
"tensorflow.scan",
"tensorflow.zeros",
"tensorflow.reduce_sum",
"tensorflow.sort",
"tensorflow.cast",
"tensorflow.minimum",
"tensorflow.equal",
"tensorflow.tanh",
"tensorflow.argsort",
"tensorflow.where",
"tensorflow.argmin",
"tensorflow.great... |
tibe97/thesis-self-supervised-learning | [
"dc453ade87d04bbd881cbc8aa5ab9991ffe1da35"
] | [
"imagewoof_linear_evaluator.py"
] | [
"import os\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torchvision\nimport numpy as np\nimport pytorch_lightning as pl\nimport lightly\nimport copy\nfrom argparse import ArgumentParser\nfrom pytorch_lightning import seed_everything, Trainer\nfrom pytorch_lightning.loggers import Te... | [
[
"torch.optim.lr_scheduler.CosineAnnealingLR",
"torch.nn.Conv2d",
"torch.utils.data.DataLoader",
"torch.cuda.empty_cache",
"torch.utils.data.random_split",
"torch.cuda.is_available",
"torch.cuda.device_count",
"numpy.array"
]
] |
gretatuckute/GLMsingle | [
"710bcc96ec42cde795907914a24f4436fce2dcf2"
] | [
"glmsingle/ols/fit_runs.py"
] | [
"import numpy as np\nfrom glmsingle.ols.olsmatrix import olsmatrix\nimport warnings\nwarnings.simplefilter(action=\"ignore\", category=FutureWarning)\n\n\ndef fit_runs(data, design, verbose=True):\n \"\"\"Fits a least square of combined runs.\n\n The matrix addition is equivalent to concatenating the list of ... | [
[
"numpy.arange",
"numpy.vstack"
]
] |
ma-xu/ShiftFormer | [
"36748cd24332a52d811e35e3e80fd3007f494723"
] | [
"models/fct_normpatch.py"
] | [
"\n\"\"\"\nBased on model13_full_conv_transformer, replace the patchEmbed. layerNorm before conv.\nBased on PoolFormer, change to static shift.\n\"\"\"\nimport os\nimport math\nimport copy\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\nfrom timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_... | [
[
"torch.nn.Sequential",
"torch.nn.Dropout",
"torch.ones",
"torch.nn.init.constant_",
"torch.nn.ModuleList",
"torch.nn.Conv2d",
"torch.nn.Sigmoid",
"torch.nn.Linear",
"torch.nn.Identity",
"torch.nn.AdaptiveAvgPool2d",
"torch.rand",
"torch.nn.BatchNorm2d",
"torch.n... |
constantine7cd/sartorius-competition | [
"9fc8e9a98e90f0fb49474a1365bdce06f0a0f129"
] | [
"src/train_model.py"
] | [
"import os\n\nfrom tensorflow.keras.callbacks import ModelCheckpoint, TensorBoard\n\n\ndef _make_dir(path):\n if not os.path.exists(path):\n os.makedirs(path)\n\n\ndef _build_ckpt_path(experiment_dir, experiment_name):\n return os.path.join(experiment_dir, 'checkpoints', experiment_name)\n\n\ndef _buil... | [
[
"tensorflow.keras.callbacks.TensorBoard",
"tensorflow.keras.callbacks.ModelCheckpoint"
]
] |
Hullimulli/EEGEyeNet | [
"677a791b39800f44dc254553b16ee2f92e62c423"
] | [
"DL_Models/tf_models/PyramidalCNN/PyramidalCNN.py"
] | [
"import tensorflow as tf\nfrom config import config\nfrom utils.utils import *\nimport logging\nfrom DL_Models.tf_models.ConvNet import ConvNet\nfrom tensorflow.keras.constraints import max_norm\n\n\nclass PyramidalCNN(ConvNet):\n \"\"\"\n The Classifier_PyramidalCNN is one of the simplest classifiers. It imp... | [
[
"tensorflow.keras.layers.Conv1D",
"tensorflow.keras.layers.BatchNormalization",
"tensorflow.keras.layers.Activation",
"tensorflow.keras.layers.MaxPool1D"
]
] |
s-tian/bench-press | [
"04240a8c9402c2b8639900567d6bfbee3cf0222e"
] | [
"bench_press/state_estimation/models/train_position_model.py"
] | [
"import tensorflow as tf\nimport keras \nfrom keras.applications import ResNet50\nfrom keras import backend as K\nimport numpy as np\nfrom scipy.io import loadmat\nimport cv2\nimport os \nimport tqdm\nimport time\n\nBATCH_SIZE = 10 \n\nh, w, ch = 270, 360, 3\nf_h, f_w, ch = 480, 640, 3\nSHAPE_POS = {'octagon': {'x'... | [
[
"tensorflow.get_variable",
"tensorflow.losses.absolute_difference",
"tensorflow.contrib.layers.flatten",
"numpy.mean",
"tensorflow.train.AdamOptimizer",
"tensorflow.summary.scalar",
"scipy.io.loadmat",
"tensorflow.ConfigProto",
"numpy.std",
"tensorflow.contrib.layers.xavier... |
deklanw/elliot | [
"729871d29093f63c3fe30d54bc42669fd16eb662",
"729871d29093f63c3fe30d54bc42669fd16eb662"
] | [
"elliot/recommender/latent_factor_models/FunkSVD/funk_svd.py",
"elliot/recommender/latent_factor_models/FM/factorization_machine.py"
] | [
"\"\"\"\nModule description:\n\n\"\"\"\n\n__version__ = '0.1'\n__author__ = 'Vito Walter Anelli, Claudio Pomo'\n__email__ = 'vitowalter.anelli@poliba.it, claudio.pomo@poliba.it'\n\nimport numpy as np\nimport pickle\nfrom tqdm import tqdm\n\nfrom elliot.dataset.samplers import pointwise_pos_neg_sampler as pws\nfrom ... | [
[
"numpy.random.seed"
],
[
"numpy.random.seed"
]
] |
shujunge/manim_tutorial | [
"8e320373f0404dcc0a200ab3750ee70784dc1345"
] | [
"manim_demo/manimlib/scene/scene_file_writer.py"
] | [
"import numpy as np\nfrom pydub import AudioSegment\nimport shutil\nimport subprocess\nimport os\nimport _thread as thread\nfrom time import sleep\nimport datetime\n\nimport manimlib.constants as consts\nfrom manimlib.constants import FFMPEG_BIN\nfrom manimlib.constants import STREAMING_IP\nfrom manimlib.constants ... | [
[
"numpy.ceil"
]
] |
vslyu/PaddleRec | [
"0dbbb781d020be4f4e15f1bf1a6551aa310dff51"
] | [
"core/metrics/auc_metrics.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 re... | [
[
"numpy.copy",
"numpy.array"
]
] |
AICAN-Research/FAST-Pathology | [
"4f82bd2ce5e9773ee017f9a0b47907c2160b4747"
] | [
"studies/tumour-study/print_node_names.py"
] | [
"from tensorflow.python.keras.models import load_model\n\n\n#model = load_model(\"./pw_tumour_mobilenetv2_model.h5\", compile=False)\nmodel = load_model(\"./unet_tumour_refinement_updated_fix.h5\", compile=False)\n\n\nprint([node.op.name for node in model.inputs])\nprint([node.op.name for node in model.outputs])\n"... | [
[
"tensorflow.python.keras.models.load_model"
]
] |
University-of-Reading-Space-Science/GeoModelUncertainty | [
"f5d26cb9c5888d23c1f96ed085dbda57e568af25"
] | [
"code/huxt_analysis.py"
] | [
"import numpy as np\nimport astropy.units as u\nfrom astropy.time import Time\nimport os\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport moviepy.editor as mpy\nimport pandas as pd\nfrom moviepy.video.io.bindings import mplfig_to_npimage\n\nimport huxt as H\n\nmpl.rc(\"axes\", labelsize=16)\nmpl.r... | [
[
"numpy.abs",
"numpy.isfinite",
"numpy.arange",
"numpy.int32",
"matplotlib.pyplot.subplots",
"pandas.DataFrame",
"numpy.ones",
"numpy.concatenate",
"numpy.argwhere",
"numpy.append",
"numpy.interp",
"matplotlib.pyplot.close",
"numpy.meshgrid",
"numpy.zeros",
... |
hmartelb/GANs-for-artistic-style-transfer | [
"2667947589af1d74ba3f5aec89be8f16064edc22"
] | [
"models/munit.py"
] | [
"import argparse\nimport os\n\nimport tensorflow as tf\nimport tensorflow.keras.backend as K\nimport tensorflow_addons as tfa\nimport tensorflow_datasets as tfds\nfrom tensorflow import keras\nfrom tensorflow.keras import layers, losses\n\n\ndef get_compiled_model(args, verbose=False):\n img_shape = [args.img_w,... | [
[
"tensorflow.pad",
"tensorflow.keras.layers.LeakyReLU",
"tensorflow.keras.layers.Lambda",
"tensorflow.nn.moments",
"tensorflow.keras.layers.UpSampling2D",
"tensorflow.keras.regularizers.l2",
"tensorflow.keras.losses.BinaryCrossentropy",
"tensorflow.keras.backend.reshape",
"tenso... |
eric-heiden/tds-dev | [
"97b25804aa838e10e7fcd2c5c3d13a257bb6d661"
] | [
"scripts/visualize_swimmer.py"
] | [
"import pybullet as p\nimport time\nimport numpy as np\nimport pandas as pd\nfrom tqdm import tqdm\nimport argparse\n\nNLINKS = 5\nNJOINTS = NLINKS - 1\n\nargparser = argparse.ArgumentParser()\nargparser.add_argument(\"--pybullet_physics\", action=\"store_true\")\nargparser.add_argument(\"--slowdown\", type=int, de... | [
[
"numpy.arctan2",
"numpy.load",
"pandas.read_csv"
]
] |
OthmaneJ/deep-tts | [
"93059d568c5b458d3f0d80eb294d397ecace8731"
] | [
"speech/melgan/utils/plotting.py"
] | [
"import matplotlib\nmatplotlib.use(\"Agg\")\nimport matplotlib.pylab as plt\nimport numpy as np\n\n\ndef save_figure_to_numpy(fig):\n # save it to a numpy array.\n data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep='')\n data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))\n ... | [
[
"matplotlib.pylab.tight_layout",
"matplotlib.use",
"matplotlib.pylab.ylabel",
"matplotlib.pylab.subplots",
"numpy.transpose",
"matplotlib.pylab.ylim",
"matplotlib.pylab.xlabel",
"matplotlib.pylab.close"
]
] |
jeffryjames/DS-ScriptsNook | [
"5d78aa71afad62ea1d809fb069d82efd4363e820"
] | [
"Machine Learning/Heart_Disease_Prediction.py"
] | [
"import pandas as pd \nimport matplotlib.pyplot as plt\nimport pandas as pd \nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\ndata = pd.read_csv(\"heart.csv\")\nprint(data)\ndata.head()\ndata.info()\ndata.describe()\ndata.isnull().sum()\n\nplt.show()\ncorrmat = data.corr()\ntop_corr_features = corrmat.ind... | [
[
"matplotlib.pyplot.text",
"pandas.read_csv",
"sklearn.model_selection.cross_val_score",
"sklearn.ensemble.RandomForestClassifier",
"matplotlib.pyplot.title",
"sklearn.metrics.accuracy_score",
"sklearn.model_selection.train_test_split",
"sklearn.metrics.confusion_matrix",
"sklea... |
ZJL168/places365 | [
"51cdd05c8e156e8888a2d90180651cbd1fd9263b"
] | [
"run_placesCNN_basic.py"
] | [
"# PlacesCNN for scene classification\n#\n# by Bolei Zhou\n# last modified by Bolei Zhou, Dec.27, 2017 with latest pytorch and torchvision (upgrade your torchvision please if there is trn.Resize error)\n\n# python3.6 + pytorch0.4.0 + torchvision0.2.2\n\nimport torch\nfrom torch.autograd import Variable as V\nimport... | [
[
"torch.nn.functional.softmax",
"torch.load"
]
] |
Tariq-Anwar/Wheather-a-person-has-diabetics-aor-not | [
"214e883c12d23942e003fce9b979eb8bdb5cb589"
] | [
"app.y.py"
] | [
"import numpy as np\r\nimport pandas as pd\r\nfrom flask import Flask,request, jsonify, render_template\r\nimport pickle\r\n\r\n\r\napp=Flask(__name__)\r\nmodel=pickle.load(open('diabetes-prediction-Logistic-model.pkl','rb'))\r\n\r\ndataset=pd.read_csv('C:/Users/asus/Desktop/Diabetes/diabetes.csv')\r\ndataset.head(... | [
[
"numpy.array",
"pandas.read_csv",
"sklearn.preprocessing.MinMaxScaler"
]
] |
luoshiyong/liver_and_tumor | [
"d84f2100f50cb150cfaaad56d61248691864c5fe"
] | [
"dataset/dataset.py"
] | [
"import numpy as np\nimport cv2 #https://www.jianshu.com/p/f2e88197e81d\nimport random\n\nfrom skimage.io import imread\nfrom skimage import color\nimport scipy.ndimage as ndi\nimport torch\nimport torch.utils.data\nfrom torchvision import datasets, models, transforms\n\nnp.random.seed(147)\nclass Dataset(torch.ut... | [
[
"numpy.rot90",
"scipy.ndimage.morphology.distance_transform_edt",
"numpy.random.seed",
"numpy.fliplr",
"numpy.flipud",
"numpy.load",
"numpy.empty",
"numpy.random.randint"
]
] |
federico0112/strawberryfields | [
"07c6f9568a132b71df215bb0b9ae42c8af524948"
] | [
"tests/backend/test_squeeze_operation.py"
] | [
"# Copyright 2019 Xanadu Quantum Technologies 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 applica... | [
[
"numpy.allclose",
"numpy.linspace",
"numpy.abs",
"numpy.cosh",
"numpy.arange",
"numpy.sinh",
"numpy.all",
"numpy.complex",
"numpy.tanh",
"scipy.special.factorial",
"scipy.special.gammaln",
"numpy.angle",
"numpy.exp"
]
] |
kxz18/MegEngine | [
"88c1eedbd716805244b35bdda57c3cea5efe734d"
] | [
"imperative/python/test/integration/test_trace_dump.py"
] | [
"# MegEngine is Licensed under the Apache License, Version 2.0 (the \"License\")\n#\n# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.\n#\n# Unless required by applicable law or agreed to in writing,\n# software distributed under the License is distributed on an\n# \"AS IS\" BASIS, WITHOUT ARRANTIES OR CON... | [
[
"numpy.printoptions",
"numpy.random.random",
"numpy.argmax",
"numpy.random.rand",
"numpy.prod",
"numpy.array",
"numpy.zeros"
]
] |
Paul-mwaura/Simple-tic-tac-toe-game | [
"7de22d059d1e0c15be607167480da12d0d9efe35"
] | [
"gui/MainWindow.py"
] | [
"# -*- coding: utf-8 -*-\r\n'''pyuic5 window.ui -o mainwindow.py -x'''\r\n\r\nimport os\r\nimport sys\r\n\r\nimport numpy as np\r\nfrom PyQt5.QtWidgets import QMainWindow, QFileDialog, QGraphicsPixmapItem, QGraphicsScene, QListWidgetItem, QApplication, QMessageBox\r\nfrom PyQt5.QtGui import QImage, QPixmap, QIcon\r... | [
[
"numpy.clip"
]
] |
ianduffield/MATH37A_Final | [
"c6bb29ce263abc07a91d515953e56ab62e9ab86f"
] | [
"manimlib/camera/camera.py"
] | [
"from functools import reduce\nimport itertools as it\nimport operator as op\nimport time\nimport copy\n\nfrom PIL import Image\nfrom scipy.spatial.distance import pdist\nimport cairo\nimport numpy as np\n\nfrom manimlib.constants import *\nfrom manimlib.mobject.types.image_mobject import AbstractImageMobject\nfrom... | [
[
"numpy.dot",
"numpy.maximum",
"numpy.isnan",
"numpy.arange",
"numpy.all",
"numpy.apply_along_axis",
"scipy.spatial.distance.pdist",
"numpy.iinfo",
"numpy.any",
"numpy.array",
"numpy.zeros"
]
] |
hyhieu/tensor2tensor | [
"fd9b3150ad72140c05dfad7a4ebc4577be6c1c08"
] | [
"tensor2tensor/utils/t2t_model.py"
] | [
"# coding=utf-8\n# Copyright 2018 The Tensor2Tensor 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 requir... | [
[
"tensorflow.convert_to_tensor",
"tensorflow.get_variable",
"tensorflow.logging.warning",
"tensorflow.concat",
"tensorflow.python.ops.variable_scope.EagerVariableStore",
"tensorflow.zeros",
"tensorflow.reduce_sum",
"tensorflow.global_variables",
"tensorflow.equal",
"tensorfl... |
AlejandroDaneri/Machine-Learning-Properati | [
"5d0f77eaff5ea7ef5a8f0e446c9220592d9b2e1a"
] | [
"google_static_maps_api.py"
] | [
"# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nfrom StringIO import StringIO\n\nimport numpy as np\nimport pandas as pd\nimport requests\ntry:\n from PIL import Image\nexcept ImportError:\n import Image\n\nTILE_SIZE = 256 # Basic Mercator Google Maps ... | [
[
"numpy.log",
"pandas.Series",
"numpy.sin"
]
] |
onionpork/sparsemyxo | [
"ee08764c05733419a92246f5fcf47a76dc409228"
] | [
"utils.py"
] | [
"import numpy as np\nimport matplotlib.pyplot as plt\nfrom scipy import integrate\nimport itertools, operator, random, math\nfrom scipy.sparse.linalg import spsolve_triangular\nfrom sklearn import linear_model\nimport pandas as pd\n\ndef random_sampling(data, porpotion):\n sampled_data = np.empty(data.shape)\n ... | [
[
"numpy.linalg.svd",
"numpy.conj",
"numpy.fft.fft",
"numpy.arange",
"pandas.DataFrame",
"numpy.ones",
"numpy.full_like",
"numpy.fft.ifft",
"numpy.linalg.pinv",
"numpy.random.rand",
"numpy.floor",
"numpy.array",
"numpy.zeros",
"numpy.where",
"numpy.empty"
... |
Kortforsyningen/diveg | [
"43994b5c3aefae65a61366a9c7b6a9c9f99fd0e8"
] | [
"src/diveg/grid.py"
] | [
"import pathlib\nfrom typing import (\n Any,\n Iterable,\n Callable,\n Union,\n Optional,\n Tuple,\n List,\n)\nfrom dataclasses import dataclass\nimport logging\nlog = logging.getLogger(__name__)\n\nimport numpy as np\nimport pandas as pd\nimport geopandas as gpd\nfrom shapely import geometry\n... | [
[
"numpy.arange",
"numpy.zeros",
"numpy.zeros_like"
]
] |
GrahamboJangles/recurrent-neural-net | [
"796e9ea1f3357b3e36bc05c9f076ff9928837a7a"
] | [
"view_progres.py"
] | [
"import numpy as np\nfrom matplotlib import pyplot as pl\nimport sys\n\nif __name__==\"__main__\":\n\t\n\tif len(sys.argv) == 2:\n\t\tname = sys.argv[1]\n\n\t\twith open(name) as f:\n\t\t\tlines = f.readlines()\n\n\t\t\titerations = []\n\t\t\tlosses = []\n\n\t\t\tfor line in lines:\n\t\t\t\ttry:\n\t\t\t\t\tline.spl... | [
[
"matplotlib.pyplot.plot",
"matplotlib.pyplot.show"
]
] |
laiguokun/transformer-xl | [
"fd090d97504c46db19ed998cba3ad8f85d481fe6"
] | [
"pretrain/model_utils.py"
] | [
"\"\"\"Common model utils.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport collections\nimport functools\nimport re\n\nfrom absl import flags\nimport absl.logging as _logging # pylint: disable=unused-import\nimport tensorflow as tf\n\n... | [
[
"tensorflow.contrib.summary.create_file_writer",
"tensorflow.contrib.summary.all_summary_ops",
"tensorflow.reshape",
"tensorflow.contrib.summary.record_summaries_every_n_global_steps",
"tensorflow.initializers.truncated_normal",
"tensorflow.train.get_or_create_global_step",
"tensorflow... |
mattiabalestra/pysteps | [
"fccbf1275b6ab7adfe41a2e4f388f7701d038aa3"
] | [
"pysteps/motion/darts.py"
] | [
"\"\"\"\npysteps.motion.darts\n====================\n\nImplementation of the DARTS algorithm.\n\n.. autosummary::\n :toctree: ../generated/\n\n DARTS\n\"\"\"\n\nimport sys\nimport time\nimport numpy as np\nfrom numpy.linalg import lstsq, svd\nfrom .. import utils\n\ndef DARTS(R, **kwargs):\n \"\"\"Compute ... | [
[
"numpy.diag",
"numpy.hstack",
"numpy.dot",
"numpy.linalg.svd",
"numpy.arange",
"numpy.stack",
"numpy.moveaxis",
"numpy.zeros"
]
] |
Global-Water-Security-Center/gwsc-ingest | [
"1ba3bcdcee9daf4c271c55a3a0fcd9dbfd352ab6"
] | [
"gwsc_ingest/era5/generate_normals_dataset.py"
] | [
"import copy\nimport datetime as dt\nimport logging\nimport traceback\n\nimport humanize\nimport numpy as np\nimport pandas as pd\nfrom tqdm import tqdm\nimport xarray as xr\n\nfrom gwsc_ingest.utils.logging import setup_basic_logging\nfrom gwsc_ingest.utils.validation import validate_directory\n\n_COMMAND_DESCRIPT... | [
[
"numpy.array",
"numpy.int16"
]
] |
cdbethune/sloth-d3m-wrapper | [
"2de452fd4f4d2e6fb5f5604bfa7d85eb73c9e5eb"
] | [
"SlothD3MWrapper/Storc.py"
] | [
"import sys\nimport os.path\nimport numpy as np\nimport pandas\n\nfrom Sloth import Sloth\nfrom tslearn.datasets import CachedDatasets\n\nfrom d3m.primitive_interfaces.transformer import TransformerPrimitiveBase\nfrom d3m.primitive_interfaces.base import CallResult\n\nfrom d3m import container, utils\nfrom d3m.cont... | [
[
"pandas.DataFrame"
]
] |
camjw/robot_pong | [
"94ec11e6c0709a14aefec65ddc638906b92f7f3f"
] | [
"neural/lib/ball.py"
] | [
"import numpy as np\n\n\nclass Ball:\n def __init__(self, position_x, position_y, velocity_x, velocity_y, radius=5,\n canvas_width=900, canvas_height=600):\n self.position = np.array([position_x, position_y])\n self.velocity = np.array([velocity_x, velocity_y])\n self.radius ... | [
[
"numpy.array"
]
] |
josearangos/PDI | [
"0339aa4dbfce83d91138ea1ffaf6770f0392c2fb"
] | [
"Python_Class/Clase_4_Espacios_de_colores/colorSpaces.py"
] | [
"import cv2\nimport numpy as np\nfrom PIL import Image\nimport matplotlib.pyplot as plt\n\n# PARTE 1 EXPLORACIÓN DE LA IMAGEN EN DIFERENTES MODELOS\n\n# Con esta función normalizamos la imagen y la cambiamos de 3 a dos dimensiones\ndef chori(a):\n fil, col, cap = a.shape # Extraemos sus dimensiones y las guarda... | [
[
"numpy.reshape",
"numpy.hstack",
"numpy.array",
"numpy.ones"
]
] |
svdt/keras-rl | [
"f5b560410daa1e8e86af6ac7bfb18f14c35c504b"
] | [
"rl/agents/dqn.py"
] | [
"from __future__ import division\nimport warnings\n\nimport keras.backend as K\nfrom keras.models import Model\nfrom keras.layers import Lambda, Input, Layer, Dense\n\nfrom rl.core import Agent\nfrom rl.policy import EpsGreedyQPolicy, GreedyQPolicy\nfrom rl.util import *\n\n\ndef mean_q(y_true, y_pred):\n return... | [
[
"tensorflow.transpose",
"tensorflow.concat",
"tensorflow.scan",
"tensorflow.shape",
"tensorflow.gather"
]
] |
akschroer/multifil | [
"870201b3c759035e1df8689703412b4fabf548ee",
"870201b3c759035e1df8689703412b4fabf548ee"
] | [
"multifil/af.py",
"multifil/aws/run.py"
] | [
"#!/usr/bin/env python\n# encoding: utf-8\n\"\"\"\naf.py - An actin filament\n\nCreate and maintain a thin filament and the subgroups that comprise it.\n\nCreated by Dave Williams on 2010-01-04.\n\"\"\"\n\nimport numpy as np\n\n\nclass BindingSite:\n \"\"\"A singular globular actin site\"\"\"\n def __init__(s... | [
[
"numpy.hstack",
"numpy.abs",
"numpy.multiply",
"numpy.nonzero",
"numpy.flipud",
"numpy.subtract",
"numpy.arctan2",
"numpy.diff",
"numpy.searchsorted",
"numpy.add",
"numpy.array",
"numpy.sum"
],
[
"numpy.random.seed",
"numpy.min",
"numpy.max",
"nu... |
quantrocket-llc/zipline | [
"4eccd1ff3f07addbdc1f9682b608e0584a9b59c6"
] | [
"zipline/tests/test_history.py"
] | [
"#\n# Copyright 2016 Quantopian, 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 applicable law or... | [
[
"numpy.testing.assert_equal",
"pandas.Series",
"numpy.isnan",
"numpy.arange",
"pandas.Index",
"pandas.DataFrame",
"numpy.full",
"numpy.testing.assert_array_equal",
"numpy.testing.assert_almost_equal",
"numpy.array",
"pandas.Timestamp",
"numpy.zeros"
]
] |
yutiansut/Personae | [
"e5e89cbaaf2c4708952d25fdb25e99837aecdb4e"
] | [
"deprecated/stock_market.py"
] | [
"# coding=utf-8\n\nimport pandas as pd\nimport numpy as np\n\nimport math\n\nfrom base.model.document import Stock\nfrom sklearn import preprocessing\nfrom helper.data_logger import stock_market_logger\nfrom enum import Enum\n\n\nclass Market(object):\n\n Running = 0\n Done = -1\n\n def __init__(self, code... | [
[
"numpy.multiply",
"numpy.random.choice",
"numpy.arange",
"pandas.DataFrame",
"numpy.insert",
"numpy.array",
"sklearn.preprocessing.MinMaxScaler"
]
] |
alexwitt23/Social-STGCNN | [
"d6d25cac6ddaf94b3af2bffd035093c2c399b4fe"
] | [
"convert_to_onnx.py"
] | [
"import torch\nimport torchvision\n\nfrom model import social_stgcnn\n\ndummy_v = torch.randn(1, 2, 8, 27, device=\"cuda\")\ndummy_a = torch.randn(8, 27, 27, device=\"cuda\")\n\nmodel = social_stgcnn(\n n_stgcnn=1, n_txpcnn=5, output_feat=5, seq_len=8, kernel_size=3, pred_seq_len=5,\n).cuda()\n\n\ninput_names = ... | [
[
"torch.randn",
"torch.onnx.export"
]
] |
bjoern1001001/python-neo | [
"39c14da8286e760a0643687f8fdc7fceb2d2c012"
] | [
"neo/io/neuralynxio_v1.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nClass for reading data from Neuralynx files.\nThis IO supports NCS, NEV and NSE file formats.\n\nThis module is an older implementation with old neo.io API.\nA new class NeuralynxIO compunded by NeuralynxRawIO and BaseFromIO\nsuperseed this one.\n\nDepends on: numpy\n\nSupported: ... | [
[
"numpy.logical_and",
"numpy.unique",
"numpy.asarray",
"numpy.memmap",
"numpy.dtype",
"numpy.diff",
"numpy.array",
"numpy.where",
"numpy.sum"
]
] |
waqasbhatti/lcc-server | [
"b8256bf28aee42e628abe27f0203d6f5361fb84b"
] | [
"lccserver/tests/test_auth_timing.py"
] | [
"'''test_auth_actions.py - Waqas Bhatti (wbhatti@astro.princeton.edu) - Sep 2018\nLicense: MIT. See the LICENSE file for details.\n\nThis contains tests for the auth functions in authnzerver.actions.\n\n'''\n\nfrom lccserver.authnzerver import authdb, actions\nimport os.path\nimport os\nfrom datetime import datetim... | [
[
"numpy.median",
"numpy.array",
"numpy.testing.assert_allclose"
]
] |
psantheus/sompy-fixed | [
"8df32f7d5b328360595fca0d233a24ad6f34fb0c"
] | [
"build/lib.linux-x86_64-2.7/sompy/codebook.py"
] | [
"import numpy as np\n\nfrom sklearn.decomposition import PCA\n#from sklearn.decomposition import RandomizedPCA# (randomizedpca is deprecated)\nfrom .decorators import timeit\n\n\nclass InvalidNodeIndexError(Exception):\n pass\n\n\nclass InvalidMapsizeError(Exception):\n pass\n\n\nclass Codebook(object):\n\n ... | [
[
"numpy.einsum",
"numpy.min",
"numpy.asarray",
"numpy.around",
"numpy.arange",
"numpy.tile",
"numpy.max",
"numpy.mean",
"numpy.random.rand",
"numpy.zeros",
"sklearn.decomposition.PCA"
]
] |
ericbarefoot/pyDeltaRCM | [
"ab602a3153b203d0a0c1dd807713638622831411"
] | [
"docs/source/pyplots/water_tools/_accumulate_free_surface_walks.py"
] | [
"import warnings\n\nimport matplotlib\nimport matplotlib.pyplot as plt\nimport numpy as np\n\nimport pyDeltaRCM\n\n\n# filter out the warning raised about no netcdf being found\nwarnings.filterwarnings(\"ignore\", category=UserWarning)\n\n\nn = 1\ncm = matplotlib.cm.get_cmap('tab10')\n\n\n# init delta model\nwith p... | [
[
"matplotlib.pyplot.tight_layout",
"numpy.random.randint",
"matplotlib.cm.get_cmap",
"matplotlib.pyplot.show",
"matplotlib.pyplot.figure"
]
] |
bfemery-sandia/pvOps | [
"fcdf47443041b3deb70f675481a70e7cf0b3dc93"
] | [
"pvops/text/classify.py"
] | [
"# Classifiers\nfrom sklearn.pipeline import Pipeline\nfrom sklearn.model_selection import GridSearchCV\n\nfrom scipy.sparse import issparse\n\nimport numpy as np\nimport pandas as pd\nimport copy\n\n\ndef classification_deployer(\n X,\n y,\n n_splits,\n classifiers,\n search_space,\n pipeline_ste... | [
[
"numpy.hstack",
"sklearn.model_selection.GridSearchCV",
"pandas.concat",
"scipy.sparse.issparse",
"pandas.Series",
"sklearn.pipeline.Pipeline",
"numpy.std",
"numpy.mean"
]
] |
pqy000/ResNet18-pytorch | [
"58daa277c73859538b603e3396abd2a645a8ca40"
] | [
"utils.py"
] | [
"import torch.nn as nn\n\ndef conv3_3(in_channel, out_channel, stride=1):\n return nn.Conv2d(in_channel, out_channel, kernel_size=(3,3),stride=stride, padding=1, bias=False)\n"
] | [
[
"torch.nn.Conv2d"
]
] |
jbboin/panorama-indexing-localization | [
"0cb67798d914dea46ac2080c27b338add802d552"
] | [
"tree_lib.py"
] | [
"import numpy as np\nimport os\nimport sys\nimport threading\nfrom collections import Counter\n\ntry:\n from Queue import PriorityQueue # Python 2\nexcept ImportError:\n from queue import PriorityQueue # Python 3\n\nimport pyflann\nimport faiss\n\n\nclass Node(object):\n def __init__(self, descriptor=N... | [
[
"numpy.dot",
"numpy.unique",
"numpy.eye",
"numpy.sort",
"numpy.std",
"numpy.mean",
"numpy.argmin",
"numpy.argsort",
"numpy.array",
"numpy.where",
"numpy.isin"
]
] |
annanguyen19/ApproPO | [
"1e563de4d8728c55d082b09203a2eec9d5731aff"
] | [
"ApproPO/envs/gym_frozenmarsrover/envs/frozenmarsrover_env.py"
] | [
"import numpy as np\nimport sys\nfrom six import StringIO, b\nimport torch\nfrom gym import spaces\nimport random\n\nfrom gym import utils\nfrom gym.envs.toy_text.discrete import DiscreteEnv\nfrom ApproPO.envs.gym_frozenmarsrover.envs.maps import MAPS\n\nLEFT = 0\nDOWN = 1\nRIGHT = 2\nUP = 3\n\nclass FrozenMarsRove... | [
[
"numpy.asarray",
"numpy.array",
"numpy.zeros",
"numpy.where"
]
] |
expman/fastapi-test | [
"ee11f49254f9c0e1e525374e172a5a05807165ee"
] | [
"src/model.py"
] | [
"import torch.nn as nn\nimport torch.nn.functional as F\n\n\nclass Net(nn.Module):\n def __init__(self):\n super(Net, self).__init__()\n self.conv1 = nn.Conv2d(1, 32, 3, 1)\n self.conv2 = nn.Conv2d(32, 64, 3, 1)\n self.dropout1 = nn.Dropout2d(0.25)\n self.dropout2 = nn.Dropout2... | [
[
"torch.nn.Dropout2d",
"torch.nn.functional.log_softmax",
"torch.nn.Conv2d",
"torch.nn.Linear",
"torch.nn.functional.relu",
"torch.nn.functional.max_pool2d"
]
] |
brozena/brozena.github.io | [
"639d3867d1a4f418d68771eb85f323d8c0f91c9b"
] | [
"assets/script.py"
] | [
"from oysterpail.takeout import mail\nimport pickle\nimport click\nimport pandas as pd\n\n\ndef mail_text_handler(m):\n \"\"\"Returns mail text\"\"\"\n return {\"mail_text\": mail._get_mail_text(m)}\n\n\ndef extract_mail(input_f, output_f):\n \"\"\"Extract mail content and features\"\"\"\n # add a new h... | [
[
"pandas.DataFrame"
]
] |
dw-dengwei/bottom-up-attention | [
"0e0cdae1cd0b4c4c809d61d484b135372690988a"
] | [
"lib/roi_data_layer/roidb.py"
] | [
"# --------------------------------------------------------\n# Fast R-CNN\n# Copyright (c) 2015 Microsoft\n# Licensed under The MIT License [see LICENSE for details]\n# Written by Ross Girshick\n# --------------------------------------------------------\n\n\"\"\"Transform a roidb into a trainable roidb by adding a ... | [
[
"numpy.sqrt",
"numpy.ascontiguousarray",
"numpy.array",
"numpy.where",
"numpy.zeros"
]
] |
lejafar/pytorch-lightning | [
"1d3724a87800f00c5e2af4539312c8802763f512"
] | [
"tests/trainer/test_trainer.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.load",
"torch.eq",
"torch.nn.init.constant_",
"torch.equal",
"torch.tensor",
"torch.nn.Linear",
"torch.isfinite",
"torch.rand",
"torch.cuda.is_available",
"torch.cuda.device_count"
]
] |
tachyontraveler/qmpy | [
"f024de3aa85d4367cd31775bd53eede30c74c083"
] | [
"qmpy/analysis/vasp/dos.py"
] | [
"from django.db import models\nimport yaml\nimport os.path\nimport logging\nimport gzip\n\nimport numpy as np\n\nimport qmpy\nimport qmpy.db.custom as custom\nfrom qmpy.utils import *\n\nimport bokeh.plotting as bkp\nfrom bokeh.models import HoverTool, Span\n\nlogger = logging.getLogger(__name__)\n\n# class Orbital... | [
[
"numpy.sum",
"numpy.array",
"numpy.zeros",
"numpy.abs"
]
] |
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