repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
chalant/pluto | [
"e7bfd35a2c1fc0e0753bd2f840b0a4385b5124fc"
] | [
"pluto/test/test.py"
] | [
"import logging\n\nfrom sqlalchemy import create_engine\n\nimport pandas as pd\n\nfrom numpy import testing\nimport numpy as np\n\nfrom dev import strategy_store, events\n\nfrom pluto import examples\n\nfrom pluto.utils import stream\n\nfrom pluto.control.loop import simulation_loop\n\nfrom pluto.control.processes ... | [
[
"numpy.nan_to_num",
"pandas.DatetimeIndex",
"pandas.DataFrame"
]
] |
hyw2/Homework1 | [
"e1c5d8e343ea11909d9f79bdf33a7d604cf085a8"
] | [
"ibkr_app.py"
] | [
"from ib_insync import *\nfrom os import listdir, remove\nfrom time import sleep\nimport pickle\nimport pandas as pd\nfrom helper_functions import *\n\n# Define your variables here ###########################################################################################\nsampling_rate = 1 # How often, in seconds,... | [
[
"pandas.DataFrame"
]
] |
JustCunn/fairseq | [
"ed74f553041c1b453603bfb20a36558d3e984e89"
] | [
"fairseq/options.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 argparse\nfrom typing import Callable, List, Optional\n\nimport torch\nfrom fairseq import utils\nfrom fairseq.data.indexed_d... | [
[
"torch.cuda.device_count"
]
] |
hsuRush/CC-CycleGAN | [
"99646b3bae3bb014ee4b19330531b885a1bfddc1",
"99646b3bae3bb014ee4b19330531b885a1bfddc1"
] | [
"test_cyclegan.py",
"train_cyclegan.py"
] | [
"from __future__ import print_function, division\nimport scipy\n\nfrom keras.datasets import mnist\nfrom instanceNormalization import InstanceNormalization\nfrom keras.layers import Input, Dense, Reshape, Flatten, Dropout, Concatenate, GRU, CuDNNGRU, Bidirectional, Lambda\nfrom keras.layers import BatchNormalizatio... | [
[
"numpy.concatenate",
"numpy.array",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.close"
],
[
"matplotlib.use",
"matplotlib.pyplot.subplots",
"numpy.ones",
"numpy.concatenate",
"numpy.full",
"numpy.mean",
"matplotlib.pyplot.close",
"numpy.add",
"numpy.arr... |
BnJam/ray | [
"c32658ff7550f8672923ca6d824d85c5efd82a5b",
"c32658ff7550f8672923ca6d824d85c5efd82a5b",
"c32658ff7550f8672923ca6d824d85c5efd82a5b"
] | [
"python/ray/rllib/agents/impala/vtrace_test.py",
"python/ray/rllib/optimizers/aso_multi_gpu_learner.py",
"python/ray/rllib/agents/impala/vtrace_policy_graph.py"
] | [
"# Copyright 2018 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# https://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed ... | [
[
"numpy.minimum",
"numpy.arange",
"tensorflow.test.main",
"numpy.stack",
"tensorflow.placeholder",
"numpy.concatenate",
"numpy.copy",
"numpy.prod",
"numpy.exp",
"numpy.random.randint"
],
[
"tensorflow.variable_scope",
"tensorflow.global_variables_initializer",
... |
MatPoliquin/retro | [
"c70c174a9818d1e97bc36e61abb4694d28fc68e1"
] | [
"retro/examples/brute.py"
] | [
"\"\"\"\nImplementation of the Brute from \"Revisiting the Arcade Learning Environment:\nEvaluation Protocols and Open Problems for General Agents\" by Machado et al.\nhttps://arxiv.org/abs/1709.06009\n\nThis is an agent that uses the determinism of the environment in order to do\npretty well at a number of retro g... | [
[
"numpy.log"
]
] |
ewanbarr/UtmostFanbeamMapper | [
"e20721c4b21fd94977eb48503b81a784a8666045"
] | [
"fanbeams.py"
] | [
"from astropy.io import fits\nfrom coords import nsew_of_constant_dec,Molonglo,hadec_to_nsew\nfrom scipy.ndimage import filters\nimport ephem as e\nimport numpy as np\nimport copy\n\nSEC_TO_SID = 0.9972685185185185 # convert seconds to siderial \"seconds\"\nEW_R = np.radians(2.0) # EW beam HWHM\nNS_R = np.radians(1... | [
[
"numpy.hstack",
"numpy.polyfit",
"numpy.radians",
"numpy.arange",
"numpy.median",
"numpy.cos",
"numpy.ones",
"numpy.copy",
"numpy.mean",
"scipy.ndimage.filters.median_filter",
"numpy.polyval",
"numpy.empty"
]
] |
Siemingfong/FilmFeatureCrawler | [
"98ab581ca8d9df70452ff28a8d061dc658461459"
] | [
"code/haha.py"
] | [
"import time \r\nimport random\r\nimport datetime\r\nfrom bs4 import BeautifulSoup as bs\r\nimport pandas as pd\r\nimport os\r\nimport json\r\nimport requests\r\n\r\nmonth=['01','02','03','04','05','06','07','08','09','10','11','12']\r\nyear=['2015','2016','2017','2018','2019','2020']\r\ndate=[]\r\nmovies=[]\r\n\r\... | [
[
"pandas.DataFrame"
]
] |
jfear/larval_gonad | [
"624a71741864b74e0372f89bdcca578e5cca3722",
"624a71741864b74e0372f89bdcca578e5cca3722",
"624a71741864b74e0372f89bdcca578e5cca3722"
] | [
"polII-wf/scripts/plot_boxplot_polII.py",
"docs/neox_and_gene_movement.py",
"src/larval_gonad/io.py"
] | [
"\"\"\"Playing with plots for galletta\"\"\"\nimport os\n\nimport matplotlib\n\nmatplotlib.use(\"Agg\")\n\nimport matplotlib.pyplot as plt\nimport pandas as pd\nimport seaborn as sns\nfrom scipy.stats import ttest_ind\n\nfrom larval_gonad.plotting.stats import pval_to_string\n\n\ndef main():\n plt.style.use([\"2... | [
[
"pandas.read_excel",
"matplotlib.use",
"matplotlib.pyplot.Line2D",
"scipy.stats.ttest_ind",
"matplotlib.pyplot.style.use"
],
[
"scipy.stats.contingency.expected_freq",
"matplotlib.pyplot.savefig",
"scipy.stats.mannwhitneyu",
"pandas.read_feather",
"scipy.stats.fisher_ex... |
chenpocufa/Chatbot_CN | [
"1adf1c01d3eced5f0644102bdec9be22705b6f3f",
"1adf1c01d3eced5f0644102bdec9be22705b6f3f"
] | [
"Chatbot_Model/Info_Extraction/Entity_Extraction/data.py",
"Chatbot_Model/Text_Classification/Fasttext/fast_text.py"
] | [
"#-*- coding:utf-8 _*-\n\"\"\"\n@author:charlesXu\n@file: data.py\n@desc: 构建字向量、词向量\n@time: 2018/08/08\n\"\"\"\n\n\nimport sys, pickle, os, random\nimport numpy as np\n\nimport pdb\n\n## tags, BIO 标注策略 标签矩阵\ntag2label = {\"O\": 0,\n \"B-PER\": 1, \"I-PER\": 2,\n \"B-LOC\": 3, \"I-LOC\": 4,... | [
[
"numpy.float32"
],
[
"tensorflow.nn.xw_plus_b",
"tensorflow.device",
"tensorflow.constant",
"tensorflow.reduce_mean",
"tensorflow.cast",
"tensorflow.placeholder",
"tensorflow.name_scope",
"tensorflow.contrib.layers.xavier_initializer",
"tensorflow.nn.softmax_cross_entro... |
BeibinLi/affspec | [
"d00a290cb1c86cb079acef69f914805737cb3696"
] | [
"affspec/models/cnn_utils.py"
] | [
"import torch.nn as nn\n\n__author__ = \"Sachin Mehta\"\n__version__ = \"1.0.1\"\n__maintainer__ = \"Sachin Mehta\"\n\nclass CBR(nn.Module):\n '''\n This class defines the convolution layer with batch normalization and PReLU activation\n '''\n\n def __init__(self, nIn, nOut, kSize, stride=1, groups=1):\... | [
[
"torch.nn.PReLU",
"torch.nn.Conv2d",
"torch.nn.BatchNorm2d"
]
] |
arrismo/tripods-testing | [
"4ab9a7059df84cfd1f8984960900a3cf80b5c13c",
"4ab9a7059df84cfd1f8984960900a3cf80b5c13c"
] | [
"source/summary.py",
"analysis/main.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nPrints out a simple summary of the courses extracted from the school catalogs.\n\nCreated on Mon Jun 8 11:51:22 2020\n\n@author: Francisco Vazquez\n\"\"\"\n\nimport os\nimport pandas as pd\n\nn_colleges=0\nn_courses = 0\nfor filename in os.listdir('../courses'):\n\n # if curren... | [
[
"pandas.read_csv"
],
[
"matplotlib.pyplot.legend",
"pandas.read_csv",
"matplotlib.pyplot.title",
"matplotlib.pyplot.scatter",
"sklearn.cluster.KMeans",
"matplotlib.pyplot.ylim",
"scipy.spatial.distance.cdist",
"pandas.DataFrame",
"matplotlib.pyplot.plot",
"matplotli... |
sambit-giri/DMemu | [
"1827832efdab2dfcb735035b6956854e34d17202"
] | [
"src/functions.py"
] | [
"import numpy as np \nimport pickle\n\ndef ps_suppression_8param(theta, emul, return_std=False):\n log10Mc, mu, thej, gamma, delta, eta, deta, fb = theta\n # fb = 0.1612\n mins = [11, 0.0, 2, 1, 3, 0.2, 0.2, 0.10]\n maxs = [15, 2.0, 8, 4, 11, 0.4, 0.4, 0.25]\n assert mins[0]<=log10Mc<=maxs[0]\n a... | [
[
"numpy.argsort",
"numpy.array",
"numpy.abs"
]
] |
egaznep/toy_vae_example | [
"a41bed14454462da9a1b0ca658f4e72998b7d10b"
] | [
"src/models/train_model.py"
] | [
"import re\nimport click\nimport logging\nfrom pathlib import Path\nfrom dotenv import find_dotenv, load_dotenv\n\nimport importlib\n\nimport torch\nimport torch.autograd\nfrom torch.utils.data import dataset\nimport torch.utils.data.dataloader\n\nimport ignite.utils\nimport ignite.handlers.early_stopping\nimport i... | [
[
"torch.cuda.set_device",
"torch.zeros",
"torch.manual_seed",
"torch.cuda.manual_seed_all",
"torch.device",
"torch.utils.data.dataloader.DataLoader"
]
] |
DrewNow/pyod | [
"3b814b567ba8ea9ab8a64c97c24165df48c6e699",
"4439904ce05e95c31dbeed22d34526f729eaad2b",
"4439904ce05e95c31dbeed22d34526f729eaad2b"
] | [
"pyod/test/test_stat_models.py",
"pyod/models/hbos.py",
"pyod/models/vae.py"
] | [
"# -*- coding: utf-8 -*-\n\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport os\nimport sys\n\nimport unittest\nfrom sklearn.utils.testing import assert_equal\n# noinspection PyProtectedMember\nfrom sklearn.utils.testing import assert_allclose\nfrom sklearn.utils.testing import asser... | [
[
"sklearn.utils.testing.assert_allclose",
"sklearn.utils.testing.assert_equal",
"numpy.min",
"sklearn.utils.testing.assert_raises",
"numpy.max",
"numpy.random.rand",
"numpy.array"
],
[
"numpy.log2",
"sklearn.utils.validation.check_is_fitted",
"numpy.histogram",
"nump... |
JasonDu1993/ATEN | [
"74cb892d88f4d2f5ba5014336d61b6fa90dc250a",
"c458024d5c379ef990f72b6f6b738301e1895cff"
] | [
"train_parsingrcnn.py",
"keras_convGRU/tests/keras/utils/np_utils_test.py"
] | [
"import os\nimport sys\nfrom time import time\n\nsys.path.insert(0, os.getcwd())\nimport tensorflow as tf\n\nos.environ[\"CUDA_VISIBLE_DEVICES\"] = \"1\"\nconfig = tf.ConfigProto()\nconfig.gpu_options.allow_growth = True\nsession = tf.Session(config=config)\n\nfrom configs.vip import ParsingRCNNModelConfig\nfrom co... | [
[
"tensorflow.ConfigProto",
"tensorflow.Session"
],
[
"numpy.argmax",
"numpy.random.randint"
]
] |
wlad111/pymc3 | [
"43432834be5bbca72caa32d40a848515eea554a8",
"43432834be5bbca72caa32d40a848515eea554a8",
"43432834be5bbca72caa32d40a848515eea554a8"
] | [
"pymc3_ext/step_methods/hmc/hmc.py",
"pymc3_ext/tests/test_missing.py",
"pymc3_ext/tests/test_theanof.py"
] | [
"import numpy as np\n\nfrom ..arraystep import Competence\nfrom pymc3_ext.vartypes import discrete_types\nfrom pymc3_ext.step_methods.hmc.integration import IntegrationError\nfrom pymc3_ext.step_methods.hmc.base_hmc import BaseHMC, HMCStepData, DivergenceInfo\n\n\n__all__ = ['HamiltonianMC']\n\n\ndef unif(step_size... | [
[
"numpy.abs",
"numpy.isfinite",
"numpy.random.rand",
"numpy.random.uniform",
"numpy.exp"
],
[
"numpy.array",
"numpy.ma.masked_values",
"pandas.DataFrame"
],
[
"numpy.allclose",
"numpy.arange",
"numpy.choose",
"numpy.zeros_like",
"numpy.random.randn",
... |
MarceloFCandido/PIC | [
"884cdc3706fd00f7652cb3a04801c0c00fe7e73f"
] | [
"src/TR/src/classesRT.py"
] | [
"\"\"\"\n Arquivo: classesRT.py\n Reune as classes utilizadas no tracamento de raios, definindo os elementos\n que compoem o meio onde os raios serao tracados, definindo tambem os\n proprios raios.\n\"\"\"\n\nfrom eqDiferencialOrdinaria import eqDiferencialOrdinaria as EDO\nimport numpy as np\n\nclass r... | [
[
"numpy.cos",
"numpy.linalg.norm",
"numpy.sin",
"numpy.array",
"numpy.zeros"
]
] |
pmoe7/Stock-Price-Prediction | [
"062874fc2565fb14b5a25856baeabdcf705c646f"
] | [
"src/model.py"
] | [
"\"\"\"\r\n-------------------------------------------------------\r\nmodel.py\r\n[program description]\r\n-------------------------------------------------------\r\nAuthor: Mohammed Perves\r\nID: 170143440\r\nEmail: moha3440@mylaurier.ca\r\n__updated__ = \"2018-06-20\"\r\n----------------------------------... | [
[
"matplotlib.pyplot.legend",
"sklearn.externals.joblib.dump",
"matplotlib.pyplot.scatter",
"matplotlib.pyplot.title",
"matplotlib.pyplot.show",
"sklearn.svm.SVR",
"sklearn.linear_model.LinearRegression",
"matplotlib.pyplot.xlabel",
"sklearn.preprocessing.StandardScaler",
"nu... |
alishiba14/Neural-Class-Alignement-for-OSM-and-KG- | [
"0c7d15e27fe85287043273f187c9aff3d8c438ae",
"0c7d15e27fe85287043273f187c9aff3d8c438ae"
] | [
"Scripts/schemaMatch.py",
"Scripts/readRDFDBpedia.py"
] | [
"#!/usr/bin/env python\n# coding: utf-8\n\n\n\n\nfrom sklearn.model_selection import KFold\nimport pandas as pd\nimport numpy as np\nfrom keras.preprocessing.sequence import pad_sequences\nfrom skmultilearn.problem_transform import LabelPowerset\nfrom imblearn.over_sampling import RandomOverSampler\nfrom keras.mode... | [
[
"pandas.read_csv",
"numpy.random.seed",
"sklearn.model_selection.KFold",
"pandas.DataFrame",
"tensorflow.ConfigProto",
"numpy.ones",
"numpy.concatenate",
"numpy.argwhere",
"numpy.argmax",
"tensorflow.set_random_seed",
"tensorflow.get_default_graph",
"numpy.zeros"
... |
gazprom-neft/seismiqb | [
"d4906d41c79407c99cfa6f91d6005c0e453d1138",
"d4906d41c79407c99cfa6f91d6005c0e453d1138",
"d4906d41c79407c99cfa6f91d6005c0e453d1138",
"d4906d41c79407c99cfa6f91d6005c0e453d1138"
] | [
"seismiqb/src/controllers/extender.py",
"seismiqb/src/geometry/hdf5.py",
"seismiqb/src/controllers/base.py",
"seismiqb/src/geometry/npz.py"
] | [
"\"\"\" A holder for horizon extension steps inherited from `.class:Enhancer` with:\n - redifined get_mask_transform_ppl to thin out loaded mask\n - making an iterative inference to cover the holes in a given horizon.\n\"\"\"\nimport gc\nfrom copy import copy\nfrom pprint import pformat\nfrom time import perf... | [
[
"torch.cuda.empty_cache",
"numpy.sin"
],
[
"numpy.array"
],
[
"numpy.mean",
"torch.cuda.empty_cache"
],
[
"numpy.min",
"numpy.quantile",
"numpy.concatenate",
"numpy.max",
"numpy.argmin",
"numpy.transpose",
"numpy.load",
"numpy.array",
"numpy.zero... |
YannHyaric/evolutionary-computation | [
"af7778fd1b5d60a1e5630b483b55257adac0bbc6"
] | [
"main.py"
] | [
"import sys\n\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nfrom ppa.ppa import prey_predator_algorithm\nfrom ppa.config import Config\nfrom acs.objective import fitness, fitness_population\nfrom acs.instance import Instance, print_instance\n\ndef read_files(instance_config_filename, config_filename):\n ... | [
[
"matplotlib.pyplot.plot",
"numpy.mean",
"matplotlib.pyplot.show",
"numpy.zeros",
"matplotlib.pyplot.figure"
]
] |
ADCenterNetwork/discern-fmk | [
"4781f1a986f7b24f298b2729b87ddee4227cb1d0",
"4781f1a986f7b24f298b2729b87ddee4227cb1d0"
] | [
"first_neural_network/node.py",
"initialize_vector_representation.py"
] | [
"import ast\nimport numpy as np\nimport torch as torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\ndef get_descendants(node, ls):\n for child in node.children:\n ls.append(child)\n get_descendants(child, ls)\n return ls\n\n\nclass Node():\n '''\n For each node we store its p... | [
[
"torch.tensor"
],
[
"pandas.DataFrame.from_dict"
]
] |
Lucas-Marcelino/CV_Pi-VII | [
"a7fdc0955e9710f351a7d16278de2093e9e84c69",
"a7fdc0955e9710f351a7d16278de2093e9e84c69"
] | [
"Documentacao/17-retroprojecao.py",
"Identificador banana/duasCores.py"
] | [
"import cv2\nimport numpy as np\n\nroi = cv2.imread('banana.jpg')\nhsv = cv2.cvtColor(roi,cv2.COLOR_BGR2HSV)\n\ntarget = cv2.imread('banana_recortada.png')\nhsvt = cv2.cvtColor(target,cv2.COLOR_BGR2HSV)\n\n# calculating object histogram\nroihist = cv2.calcHist([hsv],[0, 1], None, [180, 256], [0, 180, 0, 256] )\n\n#... | [
[
"numpy.vstack"
],
[
"numpy.array"
]
] |
LoLongE/FaceRecognition | [
"5730e1e49fe15c295d002c760e7c1b2491113609"
] | [
"Function.py"
] | [
"# DB Server http://192.168.0.154:8080\nimport face_recognition_api\nimport cv2\nimport os\nimport pickle\nimport datetime\nimport cx_Oracle\nimport pandas as pd\nimport csv\n\ndef getTime(type_print):\n if type_print == 1:\n return datetime.datetime.now().strftime('%Y-%m-%d %H-%M')\n else:\n re... | [
[
"pandas.read_csv",
"pandas.DataFrame"
]
] |
fqhuy/minimind | [
"627ef0edeabc0c952c9439ca4eccac5a9aaf68ae"
] | [
"prototypes/test_george.py"
] | [
"import sys\nsys.path.append('/Users/phanquochuy/Projects/minimind/prototypes/george/build/lib.macosx-10.10-x86_64-2.7')\nimport numpy as np\nimport george\nfrom george.kernels import ExpSquaredKernel\n\n# Generate some fake noisy data.\nx = 10 * np.sort(np.random.rand(10))\nyerr = 0.2 * np.ones_like(x)\ny = np.sin... | [
[
"numpy.diag",
"numpy.ones_like",
"numpy.linspace",
"numpy.sin",
"numpy.random.rand"
]
] |
ho0-kim/yolact_edge | [
"f2b4a0db5505d2b16f9212d0ffc1072e09282b01"
] | [
"gb_yolact.py"
] | [
"import torch, torchvision\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom torchvision.models.resnet import Bottleneck, conv1x1, conv3x3\nimport numpy as np\nfrom functools import partial\nfrom itertools import product, chain\nfrom math import sqrt\nfrom typing import List, Tuple\n\nuse_torch2trt = Fa... | [
[
"torch.max",
"torch.load",
"torch.zeros",
"torch.cat",
"torch.tanh",
"torch.nn.functional.interpolate",
"torch.flatten",
"torch.onnx.export",
"torch.randn",
"torch.arange",
"torch.index_select",
"torch.nn.functional.max_pool2d",
"torch.nn.Sequential",
"torch... |
jim-schwoebel/allie | [
"d85db041b91c81dfb3fd1a4d719b5aaaf3b6697e",
"d85db041b91c81dfb3fd1a4d719b5aaaf3b6697e",
"f02bab7ca93a2441b7b2901094bedee72830b266",
"d85db041b91c81dfb3fd1a4d719b5aaaf3b6697e",
"d85db041b91c81dfb3fd1a4d719b5aaaf3b6697e",
"d85db041b91c81dfb3fd1a4d719b5aaaf3b6697e"
] | [
"training/helpers/archived/WIP_train_mlbox-WIP.py",
"tests/helpers/models/text_models/test_tpot_classifier/model/test_tpot_classifier.py",
"augmentation/text_augmentation/helpers/eda_nlp/experiments/a_2_train_eval.py",
"features/audio_features/helpers/sonopy_features.py",
"features/video_features/featurize.... | [
"import os, json, shutil, pickle\r\nfrom sklearn.model_selection import train_test_split\r\nfrom sklearn.metrics import accuracy_score, mean_squared_log_error\r\nimport pandas as pd\r\n\r\nprint('installing library')\r\nos.system('pip3 install mlbox==0.8.4')\r\n\r\nfrom mlbox.preprocessing import *\r\nfrom mlbox.op... | [
[
"sklearn.model_selection.train_test_split",
"pandas.DataFrame"
],
[
"sklearn.tree.DecisionTreeClassifier",
"numpy.array",
"sklearn.model_selection.train_test_split",
"sklearn.preprocessing.FunctionTransformer"
],
[
"numpy.random.seed"
],
[
"scipy.io.wavfile.read"
],
... |
marlene09/napari | [
"d3284b5df2efc0fad2664f954cbc52cca9daa105",
"044beba342ef392f4cbed2e8e3a27f27d4799ccb"
] | [
"napari/layers/labels/_labels_utils.py",
"napari/_vispy/vispy_camera.py"
] | [
"from functools import lru_cache\n\nimport numpy as np\n\n\ndef interpolate_coordinates(old_coord, new_coord, brush_size):\n \"\"\"Interpolates coordinates depending on brush size.\n\n Useful for ensuring painting is continuous in labels layer.\n\n Parameters\n ----------\n old_coord : np.ndarray, 1x... | [
[
"numpy.abs",
"numpy.min",
"numpy.asarray",
"numpy.stack",
"numpy.all",
"numpy.ceil",
"numpy.floor",
"numpy.transpose",
"numpy.array",
"numpy.sum"
],
[
"numpy.array",
"numpy.subtract",
"numpy.allclose",
"numpy.min"
]
] |
LouisDumont/Projet-Opti-Controle | [
"7dd9346759e55c62b604ce423c29040b51d83384"
] | [
"src/bfgs.py"
] | [
"#!/usr/bin/python\n\nimport numpy as np\nfrom numpy.linalg import norm\nfrom time import process_time\n\nfrom .wolfe_skel import *\nfrom .visualize import visualize\n\n# Resolution d'un probleme d'optimisation sans contrainte\n# Methode pseudo-newtonienne: BFGS\n\ndef bfgs(oracle, x0, iter_max = 5000, threshold = ... | [
[
"numpy.dot",
"numpy.eye",
"numpy.linalg.norm",
"numpy.outer",
"numpy.vdot"
]
] |
louism33/rl-starter-files | [
"032a65ab583aff0dc75e14d2faa897be387a83d6"
] | [
"scripts/postProcessFiles.py"
] | [
"import argparse\nimport collections\nimport math\nimport os\n\nimport matplotlib.pyplot as plt\nimport pandas as pd\n\ndef my_plot_function(showGraph=False, x_axis=\"episodes\", algo=\"ppo\", env=''):\n masterDataFrameList = {}\n\n dfs = []\n divBy = 0\n avg = None\n\n for subdir, dirs, files in os.... | [
[
"matplotlib.pyplot.gca",
"matplotlib.pyplot.axhline",
"matplotlib.pyplot.title",
"matplotlib.pyplot.annotate",
"matplotlib.pyplot.fill_between",
"matplotlib.pyplot.grid",
"matplotlib.pyplot.show"
]
] |
Nilesh-Das/SalaryPredictor | [
"99fa6cb82657457d88d07a52525e507518f5b279"
] | [
"model.py"
] | [
"# Importing the libraries\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport pandas as pd\nimport pickle\n\ndataset = pd.read_csv('hiring.csv')\n\ndataset['experience'].fillna(0, inplace=True)\n\ndataset['test_score'].fillna(dataset['test_score'].mean(), inplace=True)\n\nX = dataset.iloc[:, :3]\n\n# Conv... | [
[
"pandas.read_csv",
"sklearn.linear_model.LinearRegression"
]
] |
smallguoan/tonic | [
"245bf781952d418d39dda300e92afc2c47b661a3",
"245bf781952d418d39dda300e92afc2c47b661a3"
] | [
"tonic/torch/agents/trpo.py",
"tonic/utils/logger.py"
] | [
"import torch\n\nfrom tonic import logger # noqa\nfrom tonic.torch import agents, updaters\n\n\ndef default_actor_updater():\n return updaters.TrustRegionPolicyGradient(\n optimizer=updaters.ConjugateGradient(\n constraint_threshold=0.01, damping_coefficient=0.1,\n conjugate_gradien... | [
[
"torch.no_grad",
"torch.as_tensor"
],
[
"numpy.max",
"numpy.std",
"numpy.mean",
"numpy.min"
]
] |
RI-imaging/nrefocus | [
"18d520ffa3d13a31255fdee30d48258d61adfb6b"
] | [
"nrefocus/iface/rf_numpy.py"
] | [
"import numpy as np\n\nfrom .. import pad\n\nfrom .base import Refocus\n\n\nclass RefocusNumpy(Refocus):\n \"\"\"Refocusing with numpy-based Fourier transform\n\n .. versionadded:: 0.3.0\n \"\"\"\n def _init_fft(self, field, padding):\n \"\"\"Perform initial Fourier transform of the input field\n... | [
[
"numpy.fft.fft2",
"numpy.fft.ifft2"
]
] |
mariecpereira/Extracao-de-Caracteristicas-Corpo-Caloso | [
"f094c706db815f91cf61d1d501c2a9030b9b54d3"
] | [
"deliver/ia369/iah2percentile.py"
] | [
"# -*- encoding: utf-8 -*-\n# Module iah2percentile\n\ndef iah2percentile(h,p):\n\n import numpy as np\n s = h.sum()\n k = ((s-1) * p/100.)+1\n dw = np.floor(k)\n up = np.ceil(k)\n hc = np.cumsum(h)\n if isinstance(p, int):\n k1 = np.argmax(hc>=dw)\n k2 = np.argmax(hc>=up)\n else... | [
[
"numpy.cumsum",
"numpy.ceil",
"numpy.argmax",
"numpy.floor",
"numpy.where"
]
] |
cicorias/supv-ml-py | [
"f7e030206efe5bb2c49433ae18e115ca0fcfc5cb",
"f7e030206efe5bb2c49433ae18e115ca0fcfc5cb"
] | [
"packtml/utils/linalg.py",
"packtml/neural_net/mlp.py"
] | [
"# -*- coding: utf-8 -*-\n\nfrom __future__ import absolute_import\n\nfrom numpy import linalg as la\n\n__all__ = [\n 'l2_norm'\n]\n\n\ndef l2_norm(X, axis=0):\n \"\"\"Compute the L2 (Euclidean) norm of a matrix.\n\n Computes the L2 norm along the specified axis. If axis is 0,\n computes the norms along... | [
[
"numpy.linalg.norm"
],
[
"numpy.square",
"numpy.unique",
"numpy.power",
"sklearn.utils.multiclass.check_classification_targets",
"numpy.ones",
"numpy.argmax",
"sklearn.utils.validation.check_X_y",
"sklearn.utils.validation.check_random_state",
"numpy.exp",
"numpy.su... |
SimonCarozza/autolrn | [
"d0875844a3e9b4fc22510ef320aa498e339b6192"
] | [
"autolrn/encoding/labelenc.py"
] | [
"\"\"\"Label encode and One-Hot encode dataframes.\"\"\"\n\nfrom sklearn.preprocessing import LabelEncoder\nfrom pandas import get_dummies\nfrom pandas import DataFrame\nfrom pandas import Series\nfrom pandas import concat\nfrom pandas import merge\nimport numpy as np\n\n\n# Auto encodes any dataframe column of typ... | [
[
"sklearn.preprocessing.LabelEncoder",
"pandas.Series",
"pandas.DataFrame",
"pandas.get_dummies"
]
] |
mganahl/jax | [
"a6b2c371d28f49a972814ffec03addb6773621b7"
] | [
"jax/interpreters/partial_eval.py"
] | [
"# Copyright 2018 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# https://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed ... | [
[
"numpy.shape",
"numpy.isscalar"
]
] |
adityapatkar/covid-detection | [
"59797402bb4359d6070558d40597f7fce3958a0d"
] | [
"detect.py"
] | [
"import os\nimport torch\nfrom torch.utils.data import Dataset, random_split, DataLoader\nfrom PIL import Image\nimport torchvision.models as models\nimport matplotlib.pyplot as plt\nimport torchvision.transforms as transforms\n\n# from sklearn.metrics import f1_score\nimport torch.nn.functional as F\nimport torch.... | [
[
"torch.nn.Sequential",
"torch.nn.Dropout",
"torch.max",
"torch.nn.Conv2d",
"torch.nn.functional.cross_entropy",
"torch.nn.Flatten",
"torch.nn.MaxPool2d",
"torch.nn.Linear",
"torch.cuda.is_available",
"torch.nn.BatchNorm2d",
"torch.device",
"torch.nn.ReLU",
"torc... |
adhika/NavPy | [
"57130633adcb611cee0dbdfbbee758ca21552cc9"
] | [
"navpy/utils/utils.py"
] | [
"\"\"\"\nUtilities Functions.\n\nCopyright (c) 2014 NavPy Developers. All rights reserved.\nUse of this source code is governed by a BSD-style license that can be found in\nLICENSE.txt\n\"\"\"\n\nimport numpy as _np\nimport sys\n\ndef input_check_Nx1(x):\n \"\"\"\n Check x to be of dimension Nx1 and reshape i... | [
[
"numpy.atleast_1d",
"numpy.atleast_2d",
"numpy.size",
"numpy.shape"
]
] |
Sriram94/DMFG | [
"9206d4302350bed165e6812e8874041335ecf8a8",
"9206d4302350bed165e6812e8874041335ecf8a8"
] | [
"waterworld/pettingzoosislwaterworldDMFGACexecution.py",
"combinedarms/RL_dmfgac.py"
] | [
"from pettingzoo.sisl.waterworld import waterworld\nfrom RL_dmfgac import Actor\nimport csv\nimport numpy as np \nimport tensorflow.compat.v1 as tf\ntf.disable_v2_behavior()\n\n\n\n\ndef run_waterworld(parallel_env):\n \n n_actions = 25\n \n num_episode = 0 \n while num_episode < 100:\n observ... | [
[
"tensorflow.compat.v1.Session",
"tensorflow.compat.v1.global_variables_initializer",
"tensorflow.compat.v1.disable_v2_behavior"
],
[
"numpy.array",
"tensorflow.compat.v1.square",
"tensorflow.compat.v1.random_normal_initializer",
"tensorflow.compat.v1.train.AdamOptimizer",
"nump... |
vickyyu90/maxnet | [
"38c49c39dbe77b2984d8cdb2f4087310b2220593"
] | [
"explanations.py"
] | [
"import numpy as np\nimport torch\nimport torch.nn as nn\nfrom skimage.transform import resize\nfrom tqdm import tqdm\n\n\nclass RISE(nn.Module):\n \"\"\"A RISE class that computes saliency maps with RISE.\n\n \"\"\"\n def __init__(self, model, input_size, N, p1, gpu_batch=100):\n super(RISE, self).... | [
[
"torch.nn.Softmax",
"torch.cat",
"torch.from_numpy",
"torch.unsqueeze",
"numpy.save",
"torch.mul",
"numpy.random.rand",
"numpy.load",
"numpy.array",
"numpy.empty",
"numpy.random.randint"
]
] |
xjdrlabs/google-research | [
"f753c392312d4ca1437f80dc9592b6c1461e63a0"
] | [
"non_semantic_speech_benchmark/export_model/tflite_conversion.py"
] | [
"# coding=utf-8\n# Copyright 2021 The Google Research 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 requ... | [
[
"tensorflow.lite.TFLiteConverter.from_keras_model",
"tensorflow.train.latest_checkpoint",
"tensorflow.io.gfile.walk",
"tensorflow.io.gfile.exists",
"tensorflow.train.Checkpoint",
"tensorflow.compat.v2.enable_v2_behavior",
"tensorflow.io.gfile.GFile",
"tensorflow.io.gfile.makedirs",... |
wvu-irl/smart-2 | [
"b39b6d477b5259b3bf0d96180a154ee1dafae0ac"
] | [
"temp/src/TF_publisher.py"
] | [
"#!/usr/bin/env python\n\nimport rospy\nimport numpy as np\nfrom sensor_msgs.msg import Image\nfrom std_msgs.msg import String\nimport math\nimport tf\nimport sys\nfrom localization.msg import Marker\nfrom tf import transformations as t\n\nclass TF_marker_publisher():\n def __init__(self):\n\n rospy.init_... | [
[
"numpy.transpose"
]
] |
edmundwsy/IEEE-RAS-slam-winter-school-project-9 | [
"da94c5e08acd4efc90b4061871f6afe31e6268b3"
] | [
"src/layers.py"
] | [
"from keras.engine.topology import Layer, InputSpec\nimport keras.utils.conv_utils as conv_utils\nimport tensorflow as tf\nimport keras.backend as K\n\ndef normalize_data_format(value):\n if value is None:\n value = K.image_data_format()\n data_format = value.lower()\n if data_format not in {'channe... | [
[
"tensorflow.image.resize"
]
] |
myarist/Codecademy | [
"f82939a411484311171465591455880c8e354750",
"f82939a411484311171465591455880c8e354750",
"f82939a411484311171465591455880c8e354750",
"f82939a411484311171465591455880c8e354750",
"f82939a411484311171465591455880c8e354750",
"f82939a411484311171465591455880c8e354750",
"f82939a411484311171465591455880c8e35475... | [
"Data Scientist Career Path/8. Hypothesis Testing/3. Experimental Design/2. Simulation/4. estimate.py",
"Data Scientist Career Path/7. Summary Statistics/1. Variable Types/6. alter.py",
"Data Scientist Career Path/7. Summary Statistics/7. Visualizing Categorical Data/2. Pie/3. better.py",
"Data Scientist Care... | [
"import numpy as np\nimport pandas as pd\nfrom scipy.stats import chi2_contingency\n\n# preset values\nsignificance_threshold = 0.05\nsample_size = 100\nlift = .3\ncontrol_rate = .5\nname_rate = (1 + lift) * control_rate\n\n# initialize an empty list of results\nresults = []\n\n# start the loop\nfor i in range(100)... | [
[
"numpy.array",
"scipy.stats.chi2_contingency",
"numpy.sum",
"pandas.DataFrame"
],
[
"pandas.read_csv",
"pandas.to_numeric"
],
[
"pandas.read_csv",
"matplotlib.pyplot.tight_layout",
"matplotlib.pyplot.title",
"matplotlib.pyplot.subplot",
"matplotlib.pyplot.axis",... |
carnby/aurora | [
"f31e3de28694fd5763643d90ee91e99a55d4ec97"
] | [
"django_project/virtualornithology/timelines/filtering.py"
] | [
"from collections import Counter\nimport numpy as np\nimport random\nimport math\nimport difflib\n\n\nclass TimelineFilter(object):\n def __init__(self, characterizer, skip_fields=None, max_entropy_percentile=100.0, time_bucket_size=10,\n start_strategy=None, pick_strategy=None, approve_tweet_fn=... | [
[
"numpy.log",
"numpy.equal"
]
] |
mili7522/GGCNN | [
"c0a4cec6dd4d4f8836d2cffd98f5d97d96bea418",
"c0a4cec6dd4d4f8836d2cffd98f5d97d96bea418"
] | [
"src/Data/2. AddBridges-SA2.py",
"src/Data/5. NormaliseFeatures-SA2-3-4.py"
] | [
"import pandas as pd\r\nimport os\r\n\r\nos.chdir('Data')\r\n\r\n# Bridges identified using http://stat.abs.gov.au/itt/r.jsp?ABSMaps\r\n\r\nneighbours = [(117031337,121041417, 'Sydney - Haymarket - The Rocks', 'North Sydney - Lavender Bay'),\r\n (121041415, 122011418, 'Mosman', 'Balgowlah - Clontarf - ... | [
[
"pandas.concat",
"pandas.read_csv",
"pandas.DataFrame"
],
[
"pandas.read_csv"
]
] |
jvdoorn/SpectrumAnalyzer | [
"264afaa795bd7246da2967d49b176361c454746e",
"264afaa795bd7246da2967d49b176361c454746e"
] | [
"tests/aquisition/test_measure.py",
"specc/aquisition/nimydaq.py"
] | [
"import unittest\n\nimport numpy as np\n\nfrom specc.analysis.analyzer import CircuitTester\nfrom specc.aquisition.daq import DataAcquisitionInterface\nfrom specc.data.results import SignalResponse\nfrom tests.utils import ACCEPTABLE_ERROR, TEST_AMPLITUDE, TEST_DF, TEST_FREQUENCY, TEST_SAMPLES, TEST_SAMPLE_RATE\n\n... | [
[
"numpy.linspace",
"numpy.sin"
],
[
"numpy.asarray",
"numpy.long"
]
] |
mpambasange/MachineLearning | [
"8b813345264513a57934317b01e1311628dc5b01"
] | [
"group_lectures/01_intro/05_plotting.py"
] | [
"#!/usr/bin/env python3\n# author: github.com/olehermanse\n\n# import libraries used for plotting and mathematical operations:\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# Define a mathematical expression as a function:\ndef f(x):\n return x**3\n\nx = np.linspace(-3, 3, 100) # Make array of 100 valu... | [
[
"matplotlib.pyplot.show",
"numpy.linspace"
]
] |
ksajan/iis-ms-del | [
"6339f639d674fedb88454b43dcd64493be2a4558"
] | [
"IsThisAValidTeamName/stats/agent_copy.py"
] | [
"import pkg_resources\nimport types\nimport pkg_resources\nimport types\nimport time\n\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nsns.set()\n\nfrom pandas_datareader import data as pdr\nimport yfinance as yf\nyf.pdr_override()\ncompany = input(\"Enter Company N... | [
[
"matplotlib.pyplot.legend",
"numpy.dot",
"pandas.read_csv",
"matplotlib.pyplot.title",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.plot",
"numpy.std",
"numpy.argmax",
"numpy.random.randn",
"numpy.mean",
"numpy.array",
"matplotlib.pyplot.show",
"numpy.zeros",... |
igordub/enm-research-project | [
"c5c52f2a6b415bd871800bcf725fda23cb3fd542"
] | [
"src/structure/process_pdb.py"
] | [
"# -*- coding: utf-8 -*-\nimport click\nimport logging\nfrom pathlib import Path\nfrom dotenv import find_dotenv, load_dotenv\n\nimport os\nimport pandas as pd\nfrom biopandas.pdb import PandasPdb\nfrom copy import deepcopy\nimport src.utilities as utils\n\n@click.command()\n@click.argument('input_dir', type=click.... | [
[
"pandas.DataFrame"
]
] |
matt-peters/allennlp-models | [
"cdd505ed539fdc2b82e4cc0a23eae4bfd3368e7e",
"cdd505ed539fdc2b82e4cc0a23eae4bfd3368e7e"
] | [
"allennlp_models/lm/models/masked_language_model.py",
"tests/generation/modules/decoder_nets/stacked_self_attention_test.py"
] | [
"from typing import Dict\n\nfrom overrides import overrides\nimport torch\n\nfrom allennlp.common.checks import check_dimensions_match\nfrom allennlp.data import TextFieldTensors, Vocabulary\nfrom allennlp.models.model import Model\nfrom allennlp.modules import Seq2SeqEncoder, TextFieldEmbedder\nfrom allennlp.nn im... | [
[
"torch.nn.Dropout",
"torch.nn.functional.cross_entropy",
"torch.arange",
"torch.nn.functional.softmax"
],
[
"torch.ones",
"torch.rand"
]
] |
mossjacob/alfi-paper | [
"9c5650db852d6a0ff97a5c4292d647c300274082",
"9c5650db852d6a0ff97a5c4292d647c300274082"
] | [
"experiments/hafner_comparison.py",
"alfi/mcmc/gp/gp_kernels.py"
] | [
"\r\nimport torch\r\nimport numpy as np\r\n\r\nfrom torch.nn import Parameter\r\nfrom gpytorch.optim import NGD\r\nfrom torch.optim import Adam\r\nfrom matplotlib import pyplot as plt\r\nfrom gpytorch.constraints import Positive, Interval\r\nfrom gpytorch.distributions import MultitaskMultivariateNormal, Multivaria... | [
[
"torch.linspace",
"matplotlib.pyplot.tight_layout",
"torch.Size",
"matplotlib.pyplot.rc",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.savefig",
"torch.tensor",
"torch.no_grad",
"torch.stack",
"matplotlib.pyplot.rcParams.update",
"numpy.array"
],
[
"tensorfl... |
hvarS/AmazonPrivacy | [
"d3c975e428d8ac80dbe4b4e7a2e33082eec89524"
] | [
"scraping_2/com-4/reviewsprofiles/reviewsprofiles/spiders/lgbt4scraper.py"
] | [
"import scrapy\nimport pandas as pd\nimport time\nimport os\n\ncategory_name = \"LGBT\"\ncategory_num = 4\n\nclass QuotesSpider(scrapy.Spider):\n name = category_name.lower() + str(category_num) + \"spider\"\n\n def start_requests(self):\n list_of_urls = []\n parent_dir = \"./reviewpages\"\n ... | [
[
"pandas.read_csv",
"pandas.DataFrame"
]
] |
fkemeth/emergent_pdes | [
"d0501f21c9eb569543a19d4d95d6c91a9ccb11fe",
"d0501f21c9eb569543a19d4d95d6c91a9ccb11fe"
] | [
"examples/cgle_periodic/run.py",
"examples/sle_periodic/figure_1.py"
] | [
"\"\"\"\nRun CGLE example using specified config file.\n\"\"\"\nimport int.cgle as cint\nimport tests\nimport lpde\nimport os\nimport pickle\nimport shutil\nimport configparser\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nimport tqdm\nimport torch\nfrom torch.utils.tensorboard import SummaryWriter\n\nimp... | [
[
"matplotlib.pyplot.legend",
"numpy.linspace",
"matplotlib.pyplot.title",
"torch.set_default_dtype",
"numpy.arange",
"numpy.min",
"numpy.random.shuffle",
"matplotlib.pyplot.set_cmap",
"matplotlib.pyplot.colorbar",
"numpy.append",
"torch.utils.tensorboard.SummaryWriter",
... |
belosthomas/socr-text | [
"6aa143abbc62ca1f8f582eecb3b6e0b055c1aadb"
] | [
"dataset/iam_handwriting_word_database.py"
] | [
"import os\nfrom os.path import isfile\n\nfrom lxml import etree\n\nimport torch\nfrom PIL import Image\nfrom torch.utils.data.dataset import Dataset\n\nfrom utils.image import image_pillow_to_numpy\n\n\nclass IAMHandwritingWordDatabase(Dataset):\n\n def __init__(self, path, height=32, loss=None):\n self.... | [
[
"torch.from_numpy"
]
] |
DanielMartinAlarcon/TwitOff | [
"b3686714d28756b3abdb537b86b79ada6ce43aa5"
] | [
"twitoff/predict.py"
] | [
"\"\"\"Prediction of Users based on Tweet embeddings.\"\"\"\nimport numpy as np\nfrom sklearn.linear_model import LogisticRegression\nfrom .models import User\nfrom .twitter import BASILICA\n\n\ndef predict_user(user1_name, user2_name, tweet_text, cache=None):\n \"\"\"Determine and return which user is more like... | [
[
"numpy.array",
"sklearn.linear_model.LogisticRegression",
"numpy.vstack"
]
] |
AdamWang00/yolov3-tf2 | [
"956ebe38d3a90de585444b33fa1c01259434f701"
] | [
"train.py"
] | [
"from absl import app, flags, logging\nfrom absl.flags import FLAGS\n\nimport tensorflow as tf\nimport numpy as np\nimport cv2\nfrom tensorflow.keras.callbacks import (\n ReduceLROnPlateau,\n EarlyStopping,\n ModelCheckpoint,\n TensorBoard\n)\nfrom yolov3_tf2.models import (\n YoloV3, YoloV3Tiny, Yol... | [
[
"tensorflow.keras.callbacks.ModelCheckpoint",
"tensorflow.config.experimental.set_memory_growth",
"tensorflow.reduce_sum",
"tensorflow.config.experimental.list_physical_devices",
"tensorflow.keras.callbacks.ReduceLROnPlateau",
"tensorflow.keras.optimizers.Adam",
"tensorflow.keras.callb... |
xidchen/MONAI | [
"4eae383f1abbbb62a69e054c016a3b4e53af3ea7",
"4eae383f1abbbb62a69e054c016a3b4e53af3ea7",
"a42b563acf0c7504cee18ee84c8af2eff6e948a7",
"4eae383f1abbbb62a69e054c016a3b4e53af3ea7",
"4eae383f1abbbb62a69e054c016a3b4e53af3ea7"
] | [
"monai/transforms/croppad/array.py",
"tests/test_rand_gaussian_noised.py",
"tests/test_img2tensorboard.py",
"monai/inferers/utils.py",
"monai/data/nifti_writer.py"
] | [
"# Copyright 2020 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 agreed to i... | [
[
"numpy.pad",
"numpy.asarray",
"numpy.floor_divide",
"numpy.all",
"numpy.add"
],
[
"numpy.random.uniform",
"numpy.random.random",
"numpy.random.seed",
"numpy.testing.assert_allclose"
],
[
"torch.tensor",
"numpy.ones"
],
[
"torch.stack",
"torch.nn.func... |
Yuri-Njathi/Dash_Temperature_Plot | [
"d911755fdf179a592df3e1683af91f60e68f5f65"
] | [
"Autoupdate/scatterinfluxtemp.py"
] | [
"import dash\nimport dash_core_components as dcc \nimport dash_html_components as html \nimport pandas as pd\nfrom influxdb import InfluxDBClient\nfrom pandas import DataFrame, Series\nfrom pandas.io.json import json_normalize\nfrom influxdb import InfluxDBClient\nfrom datetime import datetime, timedelta\nimport pl... | [
[
"pandas.DataFrame"
]
] |
parthsharma2/augur | [
"6d59c8c80f3c21eb97bfa4ea4817908ea9a7d10b"
] | [
"augur/housekeeper/housekeeper.py"
] | [
"import logging\nimport requests\nfrom multiprocessing import Process, Queue\nimport time\nimport sqlalchemy as s\nimport pandas as pd\nimport os\nimport zmq\nlogging.basicConfig(filename='housekeeper.log')\n\nclass Housekeeper:\n\n def __init__(self, jobs, broker, broker_port, user, password, host, port, dbname... | [
[
"pandas.read_sql"
]
] |
issa-project/knowledge-graph | [
"e3f70de3248534672a32fbdc7d3768db1a0122e5"
] | [
"src/text_corpus/util.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Thu Apr 8 16:35:35 2021\n\n@author: abobashe\n\"\"\"\nimport os\nimport datetime\nimport logging\n\nimport sys\n\n#%%\ndef always_log_exceptions(exctype, value, tb):\n \n #read last element in hope that this is the one we need\n #TODO:refactor\n logger=[logg... | [
[
"pandas.read_csv"
]
] |
tylerdave/stravaio | [
"a2de2ef68ef59b906d53e6f3086ff10ffba4f507"
] | [
"stravaio.py"
] | [
"import swagger_client\nfrom swagger_client.rest import ApiException\nimport maya\nimport os\nimport json\nimport datetime\nimport pandas as pd\nimport glob\nimport datetime\nfrom loguru import logger\nimport requests\nimport socket\nimport urllib\nimport webbrowser\nfrom http.server import BaseHTTPRequestHandler, ... | [
[
"pandas.read_parquet"
]
] |
JoshKarpel/simulacra | [
"e5770ced1bef860caec25ce8c77a61ff0bb78907"
] | [
"dev/gaussian_beam.py"
] | [
"import logging\n\nfrom pathlib import Path\n\nimport numpy as np\n\nimport simulacra as si\nimport simulacra.units as u\n\nimport matplotlib.pyplot as plt\n\nFILE_NAME = Path(__file__).stem\nOUT_DIR = Path(__file__).parent / \"out\" / FILE_NAME\n\n\ndef w(z, w_0, z_0):\n return w_0 * np.sqrt(1 + ((z / z_0) ** 2... | [
[
"numpy.sqrt",
"numpy.arctan",
"numpy.linspace",
"matplotlib.pyplot.get_cmap",
"numpy.exp",
"numpy.meshgrid"
]
] |
obfrap/sqlalchemy-challenge | [
"54dd0a62c7bf05012e48307fc2799abcc2dde30a"
] | [
"app.py"
] | [
"#matplotlib inline\nfrom matplotlib import style\nstyle.use('fivethirtyeight')\nimport matplotlib.pyplot as plt\n\nimport numpy as np\nimport pandas as pd\nimport datetime as dt\nimport sqlalchemy\nfrom sqlalchemy.ext.automap import automap_base\nfrom sqlalchemy.orm import Session\nfrom sqlalchemy import create_en... | [
[
"pandas.Timedelta",
"matplotlib.style.use"
]
] |
lightconeWJA/amc_with_annotation | [
"3fadc69944e7e6692c37949309ab03e37d2e30a2"
] | [
"env/channel_pruning_env.py"
] | [
"# Code for \"AMC: AutoML for Model Compression and Acceleration on Mobile Devices\"\n# Yihui He*, Ji Lin*, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han\n# {jilin, songhan}@mit.edu\n\nimport time\nimport torch\nimport torch.nn as nn\nfrom lib.utils import AverageMeter, accuracy, prGreen\nfrom lib.data import get_s... | [
[
"numpy.minimum",
"numpy.around",
"numpy.zeros_like",
"torch.no_grad",
"numpy.random.randint",
"torch.autograd.Variable",
"torch.nn.CrossEntropyLoss",
"numpy.clip",
"torch.from_numpy",
"numpy.ceil",
"numpy.zeros",
"numpy.floor",
"numpy.transpose",
"numpy.args... |
LeonardII/KitCarFork | [
"b2802c5b08cc8250446ce3731cb622af064db4ca"
] | [
"simulation/utils/machine_learning/cycle_gan/models/cycle_gan_model.py"
] | [
"import torch\nfrom torch import Tensor, nn\nfrom torch.nn.functional import mse_loss\n\nfrom simulation.utils.machine_learning.data.image_pool import ImagePool\nfrom simulation.utils.machine_learning.models.helper import set_requires_grad\n\nfrom .base_model import BaseModel\nfrom .cycle_gan_stats import CycleGANS... | [
[
"torch.nn.functional.mse_loss",
"torch.tensor"
]
] |
amarflybot/intent_classifier | [
"1a03a0809adf402157df0cd1f906bcf4d38337a8"
] | [
"intent_model/metrics.py"
] | [
"# Copyright 2017 Neural Networks and Deep Learning lab, MIPT\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requi... | [
[
"numpy.array",
"numpy.clip"
]
] |
LittleNightmare/ArknightsAutoHelper | [
"3135b54d69f2255f99c13d42dc936065701c3129"
] | [
"imgreco/end_operation.py"
] | [
"import sys\nimport pickle\n\nimport numpy as np\nfrom PIL import Image, ImageOps\n\nfrom richlog import get_logger\nfrom . import util\nfrom . import imgops\nfrom . import item\nfrom . import minireco\nfrom . import resources\nfrom .util import any_in\n\nLOGFILE = 'log/drop-recognition.html'\n\nclass RecognizeSess... | [
[
"numpy.asarray",
"numpy.sign",
"numpy.diff",
"numpy.count_nonzero",
"numpy.array"
]
] |
equinor/lcm | [
"338bf67e6eb412446e469b4c73f7000990445ebd"
] | [
"api/plots/bridge.py"
] | [
"import base64\nfrom io import BytesIO\n\nimport matplotlib.pyplot as plt\nfrom matplotlib.ticker import ScalarFormatter\n\nfrom calculators.bridge import calculate_blend_cumulative, SIZE_STEPS, theoretical_bridge\nfrom classes.product import Product\nfrom controllers.products import products_get\n\n\ndef bridge_pl... | [
[
"matplotlib.ticker.ScalarFormatter",
"matplotlib.pyplot.subplots"
]
] |
ZheyuYe/gluon-nlp | [
"23d9d73f89ed83376def818434684eca17a3dea6"
] | [
"tests/test_sequence_sampler.py"
] | [
"import collections\nimport functools\nimport mxnet as mx\nimport numpy as np\nimport scipy\nimport pytest\nfrom mxnet.gluon import nn, HybridBlock\nfrom numpy.testing import assert_allclose\nfrom gluonnlp.sequence_sampler import BeamSearchScorer, BeamSearchSampler\nmx.npx.set_np()\n\n\n@pytest.mark.parametrize('le... | [
[
"numpy.random.uniform",
"numpy.random.normal",
"scipy.special.softmax"
]
] |
cogmaster-stats/python-cogstats | [
"e8a7082a27370b5ac27721190a05ed2b5a463a10"
] | [
"examples/solutions/plot_brain_size.py"
] | [
"\"\"\"\nRelating Gender and IQ\n=======================\n\nGoing back to the brain size + IQ data, test if the VIQ of male and\nfemale are different after removing the effect of brain size, height and\nweight.\n\"\"\"\nimport pandas\nfrom statsmodels.formula.api import ols\n\ndata = pandas.read_csv('../brain_size.... | [
[
"pandas.read_csv",
"matplotlib.pyplot.gcf",
"matplotlib.pyplot.show",
"pandas.tools.plotting.scatter_matrix"
]
] |
kushaltirumala/callibratable_style_consistency_flies | [
"d4e87d78bfa61068feff2169523bb963941163e2",
"d4e87d78bfa61068feff2169523bb963941163e2"
] | [
"lib/models/ctvae.py",
"util/environments/core.py"
] | [
"import torch\nimport torch.nn as nn\nimport numpy as np\n\nfrom lib.models.core import BaseSequentialModel\nfrom lib.distributions import Normal\n\n\nclass CTVAE(BaseSequentialModel):\n\n name = 'ctvae' # conditional trajectory VAE policy\n model_args = ['state_dim', 'action_dim', 'z_dim', 'h_dim', 'rnn_dim'... | [
[
"torch.zeros",
"torch.cat",
"torch.nn.GRU",
"torch.sum",
"torch.nn.Tanh",
"torch.nn.Linear",
"torch.nn.ReLU"
],
[
"torch.cat"
]
] |
GarrettJenkinson/condor_pytorch | [
"53406e11c0b6e27483b81f91f555013cd7d02a71"
] | [
"src/condor_pytorch/losses.py"
] | [
"import torch.nn.functional as F\nimport torch\n\n\ndef CondorOrdinalCrossEntropy(logits, levels, importance_weights=None, reduction='mean'):\n \"\"\"Computes the CONDOR loss described in\n\n CONDOR TBD.\n\n Parameters\n ----------\n logits : torch.tensor, shape(num_examples, num_classes-1)\n ... | [
[
"torch.mean",
"torch.sum",
"torch.nn.functional.logsigmoid",
"torch.exp",
"torch.finfo"
]
] |
8W9aG/textacy | [
"7f3bd999a79d85e967bcba66aa57816ed1172089"
] | [
"src/textacy/vsm/vectorizers.py"
] | [
"\"\"\"\n:mod:`textacy.vsm.vectorizers`: Transform a collection of tokenized documents into\na document-term matrix of shape (# docs, # unique terms), with various ways to filter\nor limit included terms and flexible weighting schemes for their values.\n\nA second option aggregates terms in tokenized documents by ... | [
[
"numpy.log",
"numpy.sqrt",
"scipy.sparse.spdiags",
"numpy.frombuffer",
"sklearn.preprocessing.normalize"
]
] |
lucarebuffi/wofry | [
"07d1d00c828599b225a96e44713911830b3f0d6b"
] | [
"wofry/propagator/wavefront1D/generic_wavefront.py"
] | [
"import numpy, copy\nimport scipy.constants as codata\n\nfrom srxraylib.util.data_structures import ScaledArray, ScaledMatrix\n\nfrom wofry.propagator.wavefront import Wavefront, WavefrontDimension\n\nfrom wofry.propagator.util.gaussian_schell_model import GaussianSchellModel1D\n\n# needed for h5 i/o\nimport os\nim... | [
[
"numpy.imag",
"numpy.sqrt",
"numpy.linspace",
"numpy.multiply",
"numpy.abs",
"numpy.cos",
"numpy.full",
"numpy.tan",
"numpy.sin",
"numpy.unwrap",
"numpy.real",
"numpy.zeros_like",
"numpy.argmin",
"numpy.array",
"numpy.exp",
"numpy.where"
]
] |
AntayaScienceAndTechnology/McFee | [
"96a9a6d552253c622147fe9c9c1c253ba7bc66a2"
] | [
"McFee_Functions.py"
] | [
"__author__ = 'Chris Jones'\n\nimport numpy as np\nfrom scipy.integrate import quad\n\nimport heat_xfer as hx\n\n\n# Values for default parameters\ndefault_rrr = 150\ndefault_I = 200.\ndefault_res_increase = 0.\ndefault_rho_273 = 1.71e-6\nlinspace_num = 500\n\ndef get_kr_ave1(u_l, u_h):\n \"\"\"\n Returns the... | [
[
"scipy.integrate.quad",
"numpy.sqrt",
"numpy.linspace"
]
] |
bestend/chatspace | [
"04819eaaf4e9e2d43f8aa8ed5b39f3100b33f921"
] | [
"chatspace/dataset.py"
] | [
"import tensorflow as tf\n\n\ndef make_chatspace_training_dataset(\n lookup_table: tf.lookup.StaticHashTable,\n space_skip_prob: float,\n):\n \"\"\"\n Chatspace 모델에 넣을 Input을 만드는 함수를 반환합니다.\n 정상 문장을 입력으로 받아 랜덤하게 띄어쓰기를 지웁니다.\n\n :param lookup_table: Vocab 정보로 초기화된 ``tf.lookup.StaticHashTable``\n ... | [
[
"tensorflow.strings.regex_replace",
"tensorflow.TensorShape",
"tensorflow.concat",
"tensorflow.constant",
"tensorflow.strings.unicode_split",
"tensorflow.shape",
"tensorflow.random.uniform"
]
] |
yehonadav/yonadav_tutorials | [
"e797fdaeaea4c5d85392f724442645afb9391f15"
] | [
"learn_anaconda/learn_ml/ep5.py"
] | [
"from sklearn import datasets\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import accuracy_score\nfrom scipy.spatial import distance\nimport random\n\n\ndef euc(a, b):\n return distance.euclidean(a, b)\n\n\n# random classifier\nclass ScrappyRandom:\n def fit(self, x_train, y_tra... | [
[
"sklearn.metrics.accuracy_score",
"sklearn.datasets.load_iris",
"sklearn.model_selection.train_test_split",
"scipy.spatial.distance.euclidean"
]
] |
umamibeef/pyscf | [
"09834c8f5a4f5320cdde29d285b6ccd89b3263e0",
"09834c8f5a4f5320cdde29d285b6ccd89b3263e0",
"1263d54b02914caf4476a3ed9a2de5e0c848954c",
"09834c8f5a4f5320cdde29d285b6ccd89b3263e0",
"1263d54b02914caf4476a3ed9a2de5e0c848954c",
"1263d54b02914caf4476a3ed9a2de5e0c848954c",
"09834c8f5a4f5320cdde29d285b6ccd89b3263e... | [
"pyscf/mcscf/test/test_addons.py",
"examples/pbc/22-k_points_mp2.py",
"pyscf/grad/uccsd.py",
"pyscf/pbc/cc/kuccsd_rdm.py",
"pyscf/x2c/test/test_x2c.py",
"pyscf/scf/test/test_addons.py",
"pyscf/pbc/df/test/test_band.py"
] | [
"#!/usr/bin/env python\n# Copyright 2014-2018 The PySCF Developers. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LIC... | [
[
"numpy.dot",
"numpy.linalg.svd",
"scipy.linalg.qr",
"numpy.random.random",
"numpy.einsum",
"numpy.random.seed",
"numpy.allclose",
"numpy.arange",
"numpy.sqrt",
"numpy.linalg.norm",
"numpy.linalg.eigh"
],
[
"numpy.einsum"
],
[
"numpy.dot",
"numpy.hsta... |
C3Imaging/SyntheticHeadPose | [
"b139aeda41ace2a07138705a4997d2ea65cb11a6"
] | [
"HPEDA/FSANet_Train.py"
] | [
"import time\nimport sys\nimport argparse\nimport datetime\nimport pathlib\nimport numpy as np\n\nimport torch\nimport torch.nn as nn\nfrom torch.autograd import Variable\n\n# Set seed\ntorch.manual_seed(0)\n\n# Where to add a new import\nfrom torch.optim.lr_scheduler import StepLR\n\n# from torch.utils.tensorboard... | [
[
"torch.nn.NLLLoss",
"torch.manual_seed",
"torch.utils.data.DataLoader",
"torch.nn.DataParallel",
"torch.cuda.is_available",
"torch.cuda.device_count",
"torch.nn.L1Loss",
"torch.autograd.Variable"
]
] |
bpmunson/ctg | [
"1407f652fe7aa7df0566d8f619437515aab2e380"
] | [
"tests/compare_with_ctg/fit_ac_fc/compare_fit_ac_fc.py"
] | [
"import numpy as np\nimport pandas as pd\n\nimport os\nimport sys\nsys.path.insert(0, \"../../../ctg/core\")\n\n#from fit_ac_fc import *\nfrom fit_ac_fc2 import Counts\nfrom config import config\n\nabundance_file = os.path.join(config.A549_test, \"A549_abundance_thresholds.txt\")\ncounts_file = os.path.join(config.... | [
[
"numpy.array",
"pandas.read_csv",
"pandas.DataFrame"
]
] |
mavabene/ROAR | [
"51955293ad87128ec2c549142abf91d45314f380"
] | [
"ROAR/planning_module/mission_planner/waypoint_following_mission_planner.py"
] | [
"from ROAR.planning_module.mission_planner.mission_planner import (\n MissionPlanner,\n)\nfrom pathlib import Path\nimport logging\nfrom typing import List, Optional\nfrom ROAR.utilities_module.data_structures_models import Transform, Location, Rotation\nfrom collections import deque\nfrom ROAR.agent_module.agen... | [
[
"numpy.tile"
]
] |
ChouaibBELILITA/Final_year_Project | [
"688cdeaeabb46fc3f924bb29c2e92865be421d26"
] | [
"detect_video.py"
] | [
"import time\nfrom absl import app, flags, logging\nfrom absl.flags import FLAGS\nimport cv2\nimport tensorflow as tf\nfrom yolov3_tf2.models import (\n YoloV3, YoloV3Tiny\n)\nfrom yolov3_tf2.dataset import transform_images\nfrom yolov3_tf2.utils import draw_outputs\n\n\nflags.DEFINE_string('classes', './data/fa... | [
[
"tensorflow.config.experimental.list_physical_devices",
"tensorflow.expand_dims",
"tensorflow.config.experimental.set_memory_growth"
]
] |
fangqyi/garage | [
"ddafba385ef005f46f913ab352f9638760e5b412",
"ddafba385ef005f46f913ab352f9638760e5b412",
"ddafba385ef005f46f913ab352f9638760e5b412",
"ddafba385ef005f46f913ab352f9638760e5b412",
"ddafba385ef005f46f913ab352f9638760e5b412",
"ddafba385ef005f46f913ab352f9638760e5b412",
"ddafba385ef005f46f913ab352f9638760e5b41... | [
"src/garage/tf/regressors/bernoulli_mlp_regressor.py",
"src/garage/tf/optimizers/first_order_optimizer.py",
"src/garage/replay_buffer/her_replay_buffer.py",
"tests/garage/tf/regressors/test_gaussian_cnn_regressor.py",
"tests/garage/envs/test_point_env.py",
"src/garage/torch/policies/deterministic_mlp_poli... | [
"\"\"\"Bernoulli MLP Regressor based on MLP with Normalized Inputs.\"\"\"\r\nfrom dowel import tabular\r\nimport numpy as np\r\nimport tensorflow as tf\r\n\r\nfrom garage.tf.distributions import Bernoulli\r\nfrom garage.tf.misc import tensor_utils\r\nfrom garage.tf.models import NormalizedInputMLPModel\r\nfrom gara... | [
[
"tensorflow.initializers.glorot_uniform",
"tensorflow.zeros_initializer",
"tensorflow.compat.v1.placeholder",
"numpy.std",
"numpy.mean",
"tensorflow.compat.v1.variable_scope"
],
[
"tensorflow.compat.v1.get_default_session",
"tensorflow.name_scope"
],
[
"numpy.concatenat... |
eth-ait/motion-infilling | [
"be814cfe971ec58d0e66c7644db3cdc89f71d092"
] | [
"data-preprocessing/view.py"
] | [
"import os\nimport numpy as np\nimport matplotlib.animation as animation\nimport matplotlib.colors as colors\nimport matplotlib.patheffects as pe\nimport matplotlib.pyplot as plt\n\nfrom matplotlib.animation import ArtistAnimation\nfrom mpl_toolkits.mplot3d import Axes3D\nfrom Quaternions import Quaternions\n\n\nde... | [
[
"matplotlib.patheffects.Normal",
"matplotlib.pyplot.tight_layout",
"matplotlib.patheffects.Stroke",
"matplotlib.colors.cnames.keys",
"numpy.array",
"matplotlib.pyplot.show",
"matplotlib.pyplot.figure"
]
] |
sqoshi/masked-face-recognizer | [
"40f66d776b203a1875200647b62d623f696d88a4"
] | [
"src/predictions/trainers/trainer.py"
] | [
"import logging\nimport pickle\nfrom abc import ABC, abstractmethod\nfrom typing import Any, Dict, List, Optional, Union\n\nfrom numpy.typing import NDArray\nfrom sklearn.preprocessing import LabelEncoder\n\nfrom predictions.face_recognizer import ModelType\nfrom settings import output\n\nlogger = logging.getLogger... | [
[
"sklearn.preprocessing.LabelEncoder"
]
] |
awesome-archive/tsfresh | [
"9419aa15bb26a3725291f39636354e67c9b04caa"
] | [
"tests/transformers/test_feature_selector.py"
] | [
"# -*- coding: utf-8 -*-\n# This file as well as the whole tsfresh package are licenced under the MIT licence (see the LICENCE.txt)\n# Maximilian Christ (maximilianchrist.com), Blue Yonder Gmbh, 2016\n\nfrom unittest import TestCase\nimport pandas as pd\n\nimport numpy as np\n\nfrom tsfresh.transformers.feature_sel... | [
[
"numpy.sqrt",
"numpy.random.seed",
"pandas.DataFrame",
"numpy.random.poisson",
"numpy.random.normal",
"numpy.random.binomial"
]
] |
Xinghanzzy/transformer-simple | [
"e34592c41829e2c35955fa38e802765116dc1c35"
] | [
"modules.py"
] | [
"# -*- coding: utf-8 -*-\n#/usr/bin/python2\n'''\nJune 2017 by kyubyong park. \nkbpark.linguist@gmail.com.\nhttps://www.github.com/kyubyong/transformer\n'''\n\nfrom __future__ import print_function\nimport tensorflow as tf\nimport numpy as np\n\ndef normalize(inputs, \n epsilon = 1e-8,\n s... | [
[
"tensorflow.convert_to_tensor",
"tensorflow.layers.conv1d",
"tensorflow.zeros",
"tensorflow.reduce_sum",
"tensorflow.equal",
"tensorflow.nn.moments",
"tensorflow.layers.dense",
"numpy.sin",
"tensorflow.contrib.linalg.LinearOperatorTriL",
"tensorflow.contrib.layers.xavier_in... |
diazandr3s/MONAI | [
"209db9e08129855df878634639d4c2700d9acd83",
"209db9e08129855df878634639d4c2700d9acd83"
] | [
"tests/test_integration_workflows.py",
"monai/transforms/croppad/dictionary.py"
] | [
"# Copyright (c) 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 agreed to in... | [
[
"numpy.eye",
"torch.cuda.empty_cache",
"torch.utils.tensorboard.SummaryWriter",
"torch.cuda.is_available",
"numpy.testing.assert_allclose",
"torch.optim.lr_scheduler.StepLR"
],
[
"numpy.maximum",
"numpy.minimum",
"numpy.logical_and",
"numpy.asarray",
"numpy.any",
... |
sirmarcel/cmlkit-examples | [
"fe9d15b16095af2730875dc9a98d2918eede6f5e"
] | [
"dataset/kaggle.py"
] | [
"import qmmlpack as qmml\nimport numpy as np\nimport ase.io as asio\nimport csv\nfrom cmlkit.dataset import Dataset, Subset\nimport cmlkit.indices as cmli\n\n# The following assumes that you have downloaded the Kaggle dataset from\n# https://www.kaggle.com/c/nomad2018-predict-transparent-conductors/data,\n# in part... | [
[
"numpy.array",
"numpy.random.seed"
]
] |
joepatmckenna/normal_forms | [
"e506304295a2592cfc050a2a688add89715aa5ff"
] | [
"normal_forms/examples/normal_form/for_plotting.py"
] | [
"import matplotlib.pyplot as plt\nimport numpy as np\n\ndef before_and_after(f, h, x_min=-1, x_max=1, y_min=-1, y_max=1):\n fig, ax = plt.subplots(1, 2, figsize=(8, 3))\n\n x = np.linspace(x_min, x_max, 500)\n y = np.linspace(y_min, y_max, 500)\n X, Y = np.meshgrid(x, y)\n\n Z = np.array([[f(xi, yi) ... | [
[
"matplotlib.pyplot.show",
"numpy.meshgrid",
"matplotlib.pyplot.subplots",
"numpy.linspace"
]
] |
zygmuntz/project-rhubarb | [
"d12fbdcdff817710c072f2e3128aae3a641c10ff"
] | [
"code/linear_dates_only.py"
] | [
"#!/usr/bin/env python\n\n\"the benchmark with date features only\"\n\"0.30421 on public leaderboard\"\n\nimport numpy as np\nimport pandas as pd\n\nfrom sklearn.linear_model import LinearRegression\n\n#\n\ntrain_file = '../data/train.csv'\ntest_file = '../data/test.csv'\n\noutput_file = 'linear_regression_with_dat... | [
[
"pandas.read_csv",
"sklearn.linear_model.LinearRegression",
"pandas.get_dummies"
]
] |
arnodelorme/picard | [
"f8fb90c2bd2e21087e565da186664c4e54626e41"
] | [
"picard/_tools.py"
] | [
"# Authors: Pierre Ablin <pierre.ablin@inria.fr>\n# Alexandre Gramfort <alexandre.gramfort@inria.fr>\n# Jean-Francois Cardoso <cardoso@iap.fr>\n#\n# License: BSD (3-clause)\nimport numbers\n\nimport numpy as np\n\nfrom scipy.linalg import expm\n\n\ndef gradient(Y, psiY):\n '''\n Compute the ... | [
[
"numpy.diag",
"numpy.dot",
"numpy.inner",
"numpy.abs",
"numpy.sqrt",
"numpy.arange",
"numpy.ones",
"scipy.linalg.expm",
"numpy.random.RandomState",
"numpy.sum"
]
] |
alexwong/tvm | [
"0b0bc3ed92b5578c481662287a39556f9b1a2535"
] | [
"python/tvm/relay/frontend/tensorflow.py"
] | [
"\n# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\");... | [
[
"tensorflow.python.framework.tensor_util.MakeNdarray",
"tensorflow.python.framework.tensor_util.TensorShapeProtoToList",
"numpy.cumsum",
"numpy.dtype",
"tensorflow.python.framework.dtypes.as_dtype",
"numpy.prod",
"numpy.array",
"numpy.empty"
]
] |
kopanya/good-sunday | [
"dcd92edfa1866ca7b5806879ba6bd1f7c628da6e"
] | [
"tensorFlow/sklearn/a3.py"
] | [
"from sklearn import datasets\nfrom sklearn.linear_model import LinearRegression\nimport matplotlib.pyplot as plt\n\n\nloaded_data = datasets.load_boston()\ndata_x = loaded_data.data\ndata_y = loaded_data.target\n\nmodel = LinearRegression()\n\nmodel.fit(data_x, data_y)\n## print(model.predict(data_x[:4, :]))\n\npr... | [
[
"sklearn.linear_model.LinearRegression",
"sklearn.datasets.load_boston"
]
] |
jtran10/pyNastran | [
"4aed8e05b91576c2b50ee835f0497a9aad1d2cb0",
"4aed8e05b91576c2b50ee835f0497a9aad1d2cb0",
"4aed8e05b91576c2b50ee835f0497a9aad1d2cb0",
"4aed8e05b91576c2b50ee835f0497a9aad1d2cb0",
"4aed8e05b91576c2b50ee835f0497a9aad1d2cb0",
"4aed8e05b91576c2b50ee835f0497a9aad1d2cb0",
"4aed8e05b91576c2b50ee835f0497a9aad1d2cb... | [
"pyNastran/op2/result_objects/stress_object.py",
"pyNastran/dev/bdf_vectorized2/cards/elements/solids.py",
"pyNastran/op2/tables/ogf_gridPointForces/ogpf.py",
"pyNastran/op2/tables/opg_appliedLoads/opg_objects.py",
"pyNastran/gui/menus/edit_geometry_properties/edit_geometry_properties_object.py",
"pyNastr... | [
"from __future__ import print_function\nimport sys\nfrom collections import OrderedDict\nimport numpy as np\n\n#vm_word = get_plate_stress_strain(\n #model, key, is_stress, vm_word, itime,\n #oxx, oyy, txy, max_principal, min_principal, ovm, is_element_on,\n #header_dict, keys_map)\n\nclass StressObject(ob... | [
[
"numpy.nanmax",
"numpy.amax",
"numpy.sqrt",
"numpy.allclose",
"numpy.unique",
"numpy.amin",
"numpy.arange",
"numpy.abs",
"numpy.nanmin",
"numpy.dstack",
"numpy.full",
"numpy.searchsorted",
"numpy.where",
"numpy.vstack"
],
[
"numpy.hstack",
"numpy... |
xlla/openvino_contrib | [
"bc2bd3007375883580fe2923478b8bf849a357b6",
"bc2bd3007375883580fe2923478b8bf849a357b6"
] | [
"modules/optimum/tests/openvino/test_modeling_ov_auto.py",
"modules/optimum/tests/nncf/test_nncf.py"
] | [
"# Copyright (C) 2018-2021 Intel Corporation\n# SPDX-License-Identifier: Apache-2.0\n\nimport os\nimport unittest\nfrom packaging import version\n\nimport numpy as np\n\nimport transformers\nfrom transformers import AutoTokenizer\nimport datasets\nfrom datasets import DatasetDict, load_dataset\n\ntry:\n from tra... | [
[
"numpy.array",
"numpy.argmax",
"numpy.allclose",
"numpy.random.randint"
],
[
"numpy.random.rand",
"numpy.random.randint"
]
] |
thhsieh00/utoolbox-core | [
"d1430967458204b99780c547eaca60d066490946",
"d1430967458204b99780c547eaca60d066490946"
] | [
"tests/dataset/bdv/test_bdv.py",
"src/utoolbox/cli_deprecate/dataset/preview.py"
] | [
"import logging\r\nimport os\r\nfrom pprint import pprint\r\nfrom shutil import rmtree\r\n\r\nimport pandas as pd\r\nfrom dask.distributed import Client\r\nfrom prompt_toolkit.shortcuts import button_dialog\r\n\r\nfrom utoolbox.io import open_dataset\r\nfrom utoolbox.io.dataset import BigDataViewerDataset, TiledDat... | [
[
"pandas.option_context"
],
[
"numpy.maximum"
]
] |
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