repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
osin-vladimir/kaggle-hpa-image-classification | [
"8a6da80f875b7eb8d017667d76191f31cf2afeae"
] | [
"protein_get_data.py"
] | [
"import xml.etree.ElementTree as etree\nimport pandas as pd\nfrom collections import defaultdict\nfrom tqdm import tqdm\n\nPROTEINATLAS_XML_PATH = \"../../../../kaggle_protein_atlas/input_data/proteinatlas.xml\"\nTRAIN_EXTRA_PATH = \"../../../../kaggle_protein_atlas/input_data/hpa_website_set.csv\"\n\ncounter ... | [
[
"pandas.DataFrame"
]
] |
zhawhjw/yolact-interpret | [
"c9cc6d2eca0c6920f7465a4dc585e8da226f5fa8"
] | [
"data/__init__.py"
] | [
"from .config import *\nfrom .coco import COCODetection, COCOAnnotationTransform, get_label_map\n\nimport torch\nimport cv2\nimport numpy as np\n\n\ndef detection_collate(batch):\n \"\"\"Custom collate fn for dealing with batches of images that have a different\n number of associated object annotations (bound... | [
[
"torch.stack",
"torch.FloatTensor"
]
] |
SushritPasupuleti/Braggi-A-Python-Based-Contextual-Chatbot-Framework | [
"c81fa4bb0551d2d32fedc5c5d5fbf17940f5d2b1"
] | [
"Text_Processing_Engine.py"
] | [
"#%%\nimport nltk\nfrom nltk.stem.lancaster import LancasterStemmer\nimport json\nimport numpy as np\nimport random\n\nstemmer = LancasterStemmer()\n\ndef intents_loader():\n '''Imports the Main \"intents.json\" File.'''\n with open('./Intent_Models/intents.json') as json_data:\n intents = json.load(js... | [
[
"numpy.array"
]
] |
claforte/nevergrad | [
"a06ae7ccf312392a7de4e90f93084834a5a978f0"
] | [
"nevergrad/optimization/test_base.py"
] | [
"# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.\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 warnings\nfrom unittest import TestCase\nfrom typing import List, Tuple\nimport genty\nimport numpy as n... | [
[
"numpy.testing.assert_equal",
"numpy.array",
"numpy.testing.assert_almost_equal"
]
] |
lsst-camera-dh/EO-utilities | [
"28418284fdaf2b2fb0afbeccd4324f7ad3e676c8"
] | [
"python/lsst/eo_utils/flat/flat_oscan.py"
] | [
"\"\"\"Class to analyze the FFT of the bias frames\"\"\"\n\nimport numpy as np\n\n#from lsst.eotest.sensor.overscan_fit import OverscanFit\n\nfrom lsst.eo_utils.base.config_utils import EOUtilOptions\n\nfrom lsst.eo_utils.base.data_utils import TableDict\n\nfrom lsst.eo_utils.base.butler_utils import make_file_dict... | [
[
"numpy.arange",
"numpy.ones",
"numpy.mean",
"numpy.argsort",
"numpy.sum"
]
] |
nateagr/ml-hadoop-experiment | [
"a821199f5321019d6e2bcfb9c4979b66d2d14324"
] | [
"tests/tensorflow/test_numpy_to_sparse_tensors.py"
] | [
"import pytest\nimport numpy as np\n\nfrom ml_hadoop_experiment.tensorflow import (\n numpy_to_sparse_tensors\n)\n\n\n@pytest.mark.parametrize(\"sizes,expected\", [\n ([2, 3], [0, 1, 0, 1, 2]),\n ([2, 0, 3], [0, 1, 0, 1, 2]),\n ([2, 1, 0], [0, 1, 0]),\n ([0, 0, 0], [])\n])\ndef test_generate_incremen... | [
[
"numpy.empty",
"numpy.array",
"numpy.array_equal"
]
] |
suranakritika/CarND-Capstone | [
"bed82dac5622f20ea00dd510afc6824b71ee7c0a"
] | [
"ros/src/tl_detector/tl_detector.py"
] | [
"#!/usr/bin/env python\nimport rospy\nfrom std_msgs.msg import Int32\nfrom geometry_msgs.msg import PoseStamped, Pose\nfrom styx_msgs.msg import TrafficLightArray, TrafficLight\nfrom styx_msgs.msg import Lane\nfrom sensor_msgs.msg import Image\nfrom cv_bridge import CvBridge\nfrom light_classification.tl_classifier... | [
[
"scipy.spatial.KDTree"
]
] |
STNet-cvpr2022/STNet | [
"b6fb9db95af61c53e12fdb97883e8b9bc301d8e2"
] | [
"videoanalyst/model/backbone/backbone_impl/snn3.py"
] | [
"# -*- coding: utf-8 -*\n\nimport torch.nn as nn\nimport torch\n\nfrom videoanalyst.model.backbone.backbone_base import (TRACK_BACKBONES,\n VOS_BACKBONES)\nfrom videoanalyst.model.common_opr.common_block import conv_bn_relu\nfrom videoanalyst.model.module_base i... | [
[
"torch.mean",
"torch.ones",
"torch.max",
"torch.histc",
"torch.zeros",
"torch.min",
"torch.nn.Conv2d",
"torch.nn.Sigmoid",
"torch.nn.AdaptiveAvgPool2d",
"torch.log",
"torch.where",
"torch.nn.BatchNorm2d",
"torch.nn.ReLU",
"torch.count_nonzero"
]
] |
sweigart/pygama | [
"3c5fe4c69230814933b2de879b9a305ff0d4ad5e",
"3c5fe4c69230814933b2de879b9a305ff0d4ad5e"
] | [
"experiments/hades/HADES_AoE.py",
"experiments/hades_test/setup.py"
] | [
"## kinda preliminary version which summarises the results in a pdf in ./output/low_cut_results.pdf\n## doesn't overwrite if the folder already exists, instead makes a new folder\n\nimport pygama\nimport os, time, json\nimport numpy as np\nimport pandas as pd\nfrom pprint import pprint\nimport matplotlib as mpl\nim... | [
[
"numpy.amax",
"numpy.sqrt",
"numpy.linspace",
"numpy.asarray",
"pandas.DataFrame",
"matplotlib.pyplot.plot",
"numpy.exp",
"numpy.histogram",
"scipy.signal.savgol_filter",
"scipy.optimize.curve_fit",
"numpy.where",
"matplotlib.backends.backend_pdf.PdfPages",
"mat... |
valentinp72/espresso | [
"84c0ce6e9f47dae9fcb3b731089d27f4aad5161d"
] | [
"fairseq/dataclass/configs.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 sys\nfrom dataclasses import _MISSING_TYPE, dataclass, field\nfrom typing import Any, List, Optional\n\nimport torch\n\nfrom ... | [
[
"torch.cuda.device_count"
]
] |
rlowrance/mlpack | [
"4a09987fd5efb9736284c94d90aa51b34d4bce7f"
] | [
"module_linear_n.py"
] | [
"'''linear mode with 1 or more outputs'''\nimport numpy as np\nimport unittest\nimport pdb\n\n\ndef linear_n(num_inputs, num_outputs):\n assert num_inputs >= 1\n assert num_outputs >= 1\n\n def split(theta):\n '''bias vector and weight matrix'''\n b = theta[:num_outputs]\n w = theta[nu... | [
[
"numpy.hstack",
"numpy.dot",
"numpy.array",
"numpy.linalg.norm"
]
] |
matthiasdusch/phoeton | [
"9cff26121dc15e9455fbf514f60cc0123280f337"
] | [
"tests/test_tsplots.py"
] | [
"import pytest\nfrom unittest.mock import patch\nimport os\nimport pandas as pd\nfrom copy import deepcopy\nimport matplotlib.pyplot as plt\n\nfrom foehnix.analysis_plots import tsplot, TSControl, image\n\n\ndef test_tsplot_api_control(caplog, tyr_mod1):\n # Test some wrong inputs to the plot API\n with pytes... | [
[
"pandas.to_timedelta",
"matplotlib.pyplot.gcf"
]
] |
RWTH-EBC/X-HD | [
"55b9066e8fc1107f70c0a9cf49aa5ff4d812823c"
] | [
"HSM-Design/Functions_GUI/Functions.py"
] | [
"import json\nimport numpy as np\nimport os\nimport sys\nfrom teaser.project import Project\nimport DyMat\nfrom scipy.io import savemat, loadmat\nimport openpyxl as xl\nfrom pathlib import Path\n\n# paths\n# TODO: ask for paths in app once\nPATH_DYMOLA = r\"C:\\Program Files\\Dymola 2021\"\ncomp_path = r\"C:\\Progr... | [
[
"numpy.array",
"numpy.mean",
"scipy.io.savemat"
]
] |
klayveR/python-poe-timeless-jewel | [
"5c766d83b3d8772ce507eda6a0b3bc2d93e87556"
] | [
"scripts/ocr.py"
] | [
"import cv2\nimport numpy as np\ntry:\n from PIL import Image\nexcept ImportError:\n import Image\nimport pytesseract\n\nclass OCR:\n @staticmethod\n def clahe(img, clip_limit = 2.0, grid_size = (8,8)):\n clahe = cv2.createCLAHE(clipLimit = clip_limit, tileGridSize = grid_size)\n return cl... | [
[
"numpy.array"
]
] |
jackzhu727/deep-probability-estimation | [
"459deff626fd84ad253ded8ef40790dd0f513b98"
] | [
"datasets/simulated_face.py"
] | [
"import torch\nimport h5py\nfrom scipy.special import expit\nimport numpy as np\n\n\nclass FaceDataset(torch.utils.data.Dataset):\n def __init__(self, root, prob_type, mode='train'):\n with h5py.File(root + mode + '_im.h5', 'r') as f:\n self.keys = list(f.keys())\n self.prob_type = prob_... | [
[
"numpy.array",
"scipy.special.expit",
"torch.tensor"
]
] |
PradeepKadubandi/fairo | [
"9bbe6254a7f49a6eedcccfd9c655e4bb2be4fd53"
] | [
"droidlet/lowlevel/minecraft/pyworld/physical_interfaces.py"
] | [
"import numpy as np\nimport logging\nfrom droidlet.perception.craftassist.rotation import look_vec\nfrom droidlet.shared_data_structs import TICKS_PER_SEC, Time\n\nHEAD_HEIGHT = 2\n# how many internal, non-world-interacting steps agent takes before world steps:\nWORLD_STEP = 10\nWORLD_STEPS_PER_DAY = 480\n\n\n\ncla... | [
[
"numpy.array"
]
] |
lev1khachatryan/ASDS_DL | [
"ca00ce7b4cfb722f9bce545820cdb661ff8b643e"
] | [
"DL_FromScratch/unsupervised_learning/generative_adversarial_network.py"
] | [
"from __future__ import print_function, division\nfrom sklearn import datasets\nimport math\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport progressbar\n\nfrom sklearn.datasets import fetch_mldata\n\nfrom deep_learning.optimizers import Adam\nfrom deep_learning.loss_functions import CrossEntropy\nfrom ... | [
[
"matplotlib.pyplot.subplots",
"numpy.ones",
"numpy.random.normal",
"sklearn.datasets.fetch_mldata",
"matplotlib.pyplot.close",
"matplotlib.pyplot.suptitle",
"numpy.zeros",
"numpy.random.randint"
]
] |
AtousaTorabi/Theano_old | [
"ba2d2f74406243112e813df31429721c791a889a"
] | [
"theano/sandbox/cuda/tests/test_fftconv.py"
] | [
"import unittest\nimport numpy\n\nimport theano\nfrom theano.tests import unittest_tools as utt\n\n# Skip tests if cuda_ndarray is not available.\nfrom nose.plugins.skip import SkipTest\nimport theano.sandbox.cuda as cuda_ndarray\nif not cuda_ndarray.cuda_available:\n raise SkipTest('Optional package cuda not av... | [
[
"numpy.random.random",
"numpy.zeros"
]
] |
Sandsten/pixicasso | [
"b60343342c13fd2150fa4a364b51ff71b6f6329f"
] | [
"read_list.py"
] | [
"import numpy as np\nstyle_name_list = [\"kandinsky\", \"shipwreck\", \"the_scream\",\"seated-nude\", \"starry-night\", \"woman-with-hat-matisse\"]\nloss_types = ['total_loss', 'content_loss', 'style_loss', 'cross_loss']\nfor loss in loss_types:\n values = []\n for name in style_name_list:\n data = np.load(\"r... | [
[
"numpy.load"
]
] |
cxqj/34-wtalc | [
"812c777f951966cee1a1f6bfe4e1855a5763faec"
] | [
"classificationMAP.py"
] | [
"import numpy as np\n\ndef getAP(conf,labels):\n assert len(conf)==len(labels)\n sortind = np.argsort(-conf)\n tp = labels[sortind]==1; fp = labels[sortind]!=1\n npos = np.sum(labels);\n\n fp = np.cumsum(fp).astype('float32'); tp = np.cumsum(tp).astype('float32')\n rec=tp/npos; prec=tp/(fp+tp)\n ... | [
[
"numpy.argsort",
"numpy.cumsum",
"numpy.shape",
"numpy.sum"
]
] |
susanbao/m3ddpg | [
"1a44a58b7a2ec56468ed34c69a11f0562be191d1"
] | [
"experiments/train_with_perturbed_network.py"
] | [
"import argparse\nimport numpy as np\nimport tensorflow as tf\nimport time\nimport pickle\nimport sys\nimport os\nimport re\n\nsys.path.append('../')\nsys.path.append('../../')\nsys.path.append('../../../')\n\nimport maddpg.common.tf_util as U\nfrom maddpg.trainer.m3ddpg import M3DDPGAgentTrainer\nfrom maddpg.train... | [
[
"numpy.random.seed",
"tensorflow.contrib.layers.fully_connected",
"numpy.mean",
"tensorflow.variable_scope",
"tensorflow.train.Saver",
"tensorflow.contrib.framework.get_variables_to_restore"
]
] |
NartayXD/scikit-learn | [
"86c62cff7121b218f7bd7007bd6880e206561019",
"86c62cff7121b218f7bd7007bd6880e206561019"
] | [
"sklearn/utils/metaestimators.py",
"sklearn/feature_selection/_from_model.py"
] | [
"\"\"\"Utilities for meta-estimators\"\"\"\n# Author: Joel Nothman\n# Andreas Mueller\n# License: BSD\nfrom typing import List, Any\nimport warnings\n\nfrom abc import ABCMeta, abstractmethod\nfrom operator import attrgetter\nfrom functools import update_wrapper\nimport numpy as np\nfrom contextlib import s... | [
[
"numpy.ix_"
],
[
"numpy.ones_like",
"numpy.median",
"numpy.mean",
"numpy.zeros_like",
"numpy.argsort"
]
] |
CodyJohnsonCHL/dfm_models | [
"50cd5e876d545f9aa677fcceee902687be2a97ee"
] | [
"dfm_models/utils/analysis.py"
] | [
"\"\"\"Analysis tools for comparing model results to observations\n\ncody.l.johnson@erdc.dren.mil\n\n\"\"\"\n\nimport pandas as pd\nimport pytide\nfrom numpy import abs, angle\n\nfrom dfm_models._internal import validate_harcon\n\n\ndef compute_harcon_error(Observations, Results):\n \"\"\"Calculate statistics be... | [
[
"numpy.angle",
"numpy.abs",
"pandas.Series"
]
] |
TimeEscaper/rl_data_association | [
"fd7f7fb9d5d7aebfbb9729ddaf13b6287a8c11f6"
] | [
"tools/plot.py"
] | [
"\"\"\"\nSudhanva Sreesha\nssreesha@umich.edu\n24-Mar-2018\n\nGonzalo Ferrer\ng.ferrer@skoltech.ru\n26-Nov-2018\n\nThis file contains all utilities for plotting data.\n\"\"\"\n\nimport numpy as np\nfrom matplotlib import pyplot as plt\nfrom scipy.linalg import cholesky\n\n\ndef plot2dcov(mu, Sigma, color, nSigma=1,... | [
[
"numpy.linspace",
"matplotlib.pyplot.scatter",
"matplotlib.pyplot.figure",
"numpy.cos",
"numpy.stack",
"numpy.sin",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.Circle",
"numpy.transpose",
"scipy.linalg.cholesky",
"matplotlib.pyplot.gcf",
"matplotlib.pyplot.axis",
... |
zhuzilin/PatrickStar | [
"72daf8dbded07e03d911db6369b075c9bfcd5245"
] | [
"setup.py"
] | [
"# BSD 3-Clause License\n#\n# Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.\n#\n# Redistribution and use in source and binary forms, with or without modification,\n# are permitted provided that the following conditions are met:\n#\n# * Redistributions of source code must retain the a... | [
[
"torch.utils.cpp_extension.BuildExtension.with_options"
]
] |
nowireless/opencv | [
"1fcc4c74fefee4f845c0d57799163a1cbf36f654"
] | [
"modules/dnn/test/pascal_semsegm_test_fcn.py"
] | [
"from __future__ import print_function\nfrom abc import ABCMeta, abstractmethod\nimport numpy as np\nimport sys\nimport argparse\nimport time\n\nfrom imagenet_cls_test_alexnet import CaffeModel, DnnCaffeModel\ntry:\n import cv2 as cv\nexcept ImportError:\n raise ImportError('Can\\'t find OpenCV Python module.... | [
[
"numpy.expand_dims",
"numpy.sum",
"numpy.abs",
"numpy.multiply",
"numpy.diagonal",
"numpy.ones",
"numpy.max",
"numpy.argmax",
"numpy.count_nonzero",
"numpy.array",
"numpy.zeros",
"numpy.trace"
]
] |
stephanecollot/lofo-importance | [
"ca9599f73c939621b3b247a0ccd38c28d23f9dee"
] | [
"tests/test_lofo_importance.py"
] | [
"from sklearn.linear_model import LogisticRegression\nfrom lofo.lofo_importance import LOFOImportance\nfrom data.test_data import generate_test_data\nfrom lightgbm import LGBMRegressor\nfrom sklearn.model_selection import KFold\n\n\ndef test_lofo_importance():\n df = generate_test_data(1000)\n\n features = [\... | [
[
"sklearn.linear_model.LogisticRegression",
"sklearn.model_selection.KFold"
]
] |
huy-ha/nerf | [
"413cf11dbf469b5cb3281306ed1c86b2a474b031"
] | [
"get_gt.py"
] | [
"import json\nimport imageio\nimport numpy as np\nimport tensorflow as tf\nimport os\n\ntf.compat.v1.enable_eager_execution()\n\n\ndef load_gt_data(basedir, timestep, testskip=1):\n with open(os.path.join(basedir, 'transforms.json'), 'r') as fp:\n meta = json.load(fp)\n\n all_imgs = []\n all_poses =... | [
[
"numpy.arange",
"tensorflow.compat.v1.enable_eager_execution",
"numpy.concatenate",
"numpy.tan",
"numpy.array"
]
] |
DylanScotney/cryptocurrency_backtesting | [
"268931ad24f90df676193b15b8bfaa791de616d8"
] | [
"Lib/data_loading/file_loading_strategies.py"
] | [
"import json\nimport numpy as np\nfrom datetime import datetime\nimport pandas as pd\nfrom matplotlib import pyplot as plt\nfrom pandas.plotting import register_matplotlib_converters\n\nfrom .abstract_data_loading_strategy import dataLoadingStrat\n\n\nclass fileLoadingRaw(dataLoadingStrat):\n \"\"\"\n concret... | [
[
"pandas.read_csv",
"pandas.DataFrame",
"pandas.date_range"
]
] |
Eren-Corn0712/Eren-Corn0712-EsVit_on_Tumor | [
"ceb1e76a795c3ad2aa3d576233fbf91c6a6399f6"
] | [
"models/vision_transformer.py"
] | [
"# Modified by Chunyuan Li (chunyl@microsoft.com)\r\n#\r\n# Copyright (c) Facebook, Inc. and its affiliates.\r\n# \r\n# Licensed under the Apache License, Version 2.0 (the \"License\");\r\n# you may not use this file except in compliance with the License.\r\n# You may obtain a copy of the License at\r\n# \r\n# ... | [
[
"torch.nn.functional.normalize",
"torch.nn.Sequential",
"torch.nn.Dropout",
"torch.linspace",
"torch.mean",
"torch.nn.GELU",
"torch.nn.BatchNorm1d",
"torch.cat",
"torch.zeros",
"torch.nn.init.constant_",
"torch.nn.Conv2d",
"torch.tensor",
"torch.nn.Linear",
... |
gurasog/cognigraph | [
"34a0f31376bc2cb1b04e45bb333a3437dd6e560a"
] | [
"bci/classifiers.py"
] | [
"from sklearn.naive_bayes import GaussianNB\nimport numpy as np\n\ndef prepare_data_with_window(data, window_shape):\n index_for_data = len(data) // window_shape\n print(index_for_data)\n cut_data = data[0:index_for_data * window_shape]\n print(len(cut_data))\n new_sample = np.empty(0)\n print(typ... | [
[
"numpy.append",
"numpy.array",
"sklearn.naive_bayes.GaussianNB",
"numpy.empty"
]
] |
Bibbidi-Babbidi-Boo/SDRE-based-Cooperative-UAV-Landing-on-High-speed-targets | [
"515fb38120990cb707521da1a5870721b0ee842a",
"515fb38120990cb707521da1a5870721b0ee842a"
] | [
"quadcopter/script/extras/sdre_real.py",
"quadcopter/script/extras/kalman_filter_cam.py"
] | [
"#!/usr/bin/env python\nimport rospy\nimport tf\nimport scipy.linalg as la\nimport numpy as np\nfrom math import *\nimport mavros_msgs.srv\nfrom mavros_msgs.msg import AttitudeTarget\nfrom nav_msgs.msg import Odometry\nfrom std_msgs.msg import *\nfrom geometry_msgs.msg import *\nfrom mavros_msgs.msg import *\nfrom ... | [
[
"numpy.linalg.inv",
"numpy.dot",
"numpy.array",
"scipy.linalg.solve_continuous_are"
],
[
"numpy.dot",
"numpy.linalg.svd",
"numpy.linalg.inv",
"numpy.random.normal",
"numpy.array"
]
] |
panjiacheng/apollo | [
"d547687f8d1e6b37c97421923aa6f507dd6b9e1c"
] | [
"modules/tools/sensor_calibration/extract_data.py"
] | [
"#!/usr/bin/env python\n\n###############################################################################\n# Copyright 2019 The Apollo 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 ... | [
[
"numpy.float32",
"numpy.floor",
"numpy.finfo"
]
] |
bicycle315/Qiskit-Metal | [
"41790052d79de0cad94e8c716e6ca1316164fa02"
] | [
"qiskit_metal/renderers/renderer_ansys/hfss_renderer.py"
] | [
"# -*- coding: utf-8 -*-\n\n# This code is part of Qiskit.\n#\n# (C) Copyright IBM 2017, 2021.\n#\n# This code is licensed under the Apache License, Version 2.0. You may\n# obtain a copy of this license in the LICENSE.txt file in the root directory\n# of this source tree or at http://www.apache.org/licenses/LICENSE... | [
[
"pandas.read_csv",
"numpy.abs",
"matplotlib.pyplot.subplots",
"pandas.DataFrame",
"matplotlib.gridspec.GridSpec",
"numpy.angle",
"matplotlib.pyplot.figure"
]
] |
mattrogers1124/fibonacci | [
"7606c9aa6c9837b6f5b6e936741241fb80659444"
] | [
"example.py"
] | [
"import matplotlib.pyplot as plt\nfrom fibonacci import unitdisk, unitsphere\n\n# Plot 1000 points on the unit disk\nfig1 = plt.figure()\nax1 = fig1.add_subplot()\nx1, y1 = unitdisk(1000).transpose()\nax1.scatter(x1, y1)\nax1.set_aspect(1)\nax1.set_title(\"Sample of 1,000 points from unit disk\")\n\n# Plot 1000 poi... | [
[
"matplotlib.pyplot.show",
"matplotlib.pyplot.figure"
]
] |
Sy-Zhang/recurrent-transformer | [
"f66ba49a2c9ec42759d3d00d497b49ffe39e18de"
] | [
"src/rtransformer/recursive_caption_dataset.py"
] | [
"import copy\nimport torch\nimport logging\nimport math\nimport nltk\nimport numpy as np\nimport os\n\nfrom torch.utils.data import Dataset\nfrom torch.utils.data.dataloader import default_collate\nfrom tqdm import tqdm\n\nfrom src.utils import load_json, flat_list_of_lists\n\nlog_format = \"%(asctime)-10s: %(messa... | [
[
"numpy.linspace",
"numpy.load",
"numpy.array",
"numpy.zeros",
"torch.utils.data.dataloader.default_collate"
]
] |
rcox771/mapgen | [
"036bf3fd42473a3bca58250ae9a6e1cce698c95d"
] | [
"mapgen/noise.py"
] | [
"import numpy as np\nimport matplotlib.pyplot as plt\nimport matplotlib.cm as cm\nfrom itertools import product, count\nfrom matplotlib.colors import LinearSegmentedColormap\nimport noise\nfrom .maths import *\n\n\n\ndef fbm(shape, p, lower=-np.inf, upper=np.inf):\n # Fourier-based power law noise with frequency... | [
[
"numpy.fft.fft2",
"numpy.random.random",
"numpy.power",
"numpy.random.rand",
"numpy.fft.fftfreq",
"numpy.meshgrid",
"numpy.zeros"
]
] |
gyf135/Hands-On-GPU-Programming-with-Python-and-CUDA | [
"4fbd14d3a9fbc68305ffaa16490221b1ef49a934"
] | [
"Chapter11/dynamic_hello.py"
] | [
"from __future__ import division\nimport numpy as np\nfrom pycuda.compiler import DynamicSourceModule\nimport pycuda.autoinit\n\nDynamicParallelismCode='''\n__global__ void dynamic_hello_ker(int depth)\n{\n printf(\"Hello from thread %d, recursion depth %d!\\\\n\", threadIdx.x, depth);\n if (threadIdx.x == 0 && blo... | [
[
"numpy.int32"
]
] |
mmakai/zeppelin | [
"1ec869f38deb79a9a7f8b10fb0ba2e00b4ac3abf"
] | [
"python/src/main/resources/python/backend_zinline.py"
] | [
"# Licensed to the Apache Software Foundation (ASF) under one or more\n# contributor license agreements. See the NOTICE file distributed with\n# this work for additional information regarding copyright ownership.\n# The ASF licenses this file to You under the Apache License, Version 2.0\n# (the \"License\"); you m... | [
[
"matplotlib._pylab_helpers.Gcf.get_active",
"matplotlib.is_interactive",
"matplotlib._pylab_helpers.Gcf.get_all_fig_managers",
"matplotlib._pylab_helpers.Gcf.destroy_all",
"matplotlib.backend_bases.FigureManagerBase.__init__"
]
] |
RezaZeinali91/NUTLIS | [
"a521df21266913d482bad91490f236bc99193351"
] | [
"examples/adaptivity.py"
] | [
"#! /usr/bin/env python3\n#\n# In this script we solve the Laplace problem on a unit square that has the\n# bottom-right quadrant removed (a.k.a. an L-shaped domain) with Dirichlet\n# boundary conditions matching the harmonic function\n#\n# .. math:: \\sqrt[3]{x^2 + y^2} \\cos\\left(\\tfrac23 \\arctan\\frac{y+x}{y-... | [
[
"numpy.testing.assert_almost_equal",
"numpy.log",
"numpy.mean"
]
] |
Aniket1313/ga-learner-dsmp-repo | [
"adc9f5310c8ad083efd2ebb06912ea8be818e373"
] | [
"Lego-toy-price-prediction-using-Linear-Regression-/code.py"
] | [
"# --------------\nimport pandas as pd\nimport numpy as np\nfrom sklearn.cross_validation import train_test_split\n\n# code starts here\n\ndf =pd.read_csv(path)\ndf.head(5)\n\nX = df[[\"ages\",\"num_reviews\",\"piece_count\",\"play_star_rating\",\"review_difficulty\",\"star_rating\",\"theme_name\",\"val_star_rating... | [
[
"sklearn.cross_validation.train_test_split",
"pandas.read_csv",
"sklearn.metrics.r2_score",
"matplotlib.pyplot.subplots",
"sklearn.metrics.mean_squared_error",
"sklearn.linear_model.LinearRegression",
"matplotlib.pyplot.show"
]
] |
JakeColtman/SurPyval | [
"71ab77231ba39eccba165088689282b247c015f2"
] | [
"SurPyval/model/fitmodel.py"
] | [
"from typing import Dict, Any\n\nfrom SurPyval.node import NodeTree\nfrom SurPyval.samplers import EmceeSampler\n\n\nclass FitModel:\n \"\"\"\n A model that has a posterior sampler\n\n Parameters\n ----------\n node_tree: NodeTree\n The graphical structure of the mod... | [
[
"matplotlib.pyplot.plot"
]
] |
CEfanmin/DataMiningProjects | [
"b6375f542c68c0001ae2971dd7e8046a0b4afc7a"
] | [
"GraphSAGE/graphsage/models.py"
] | [
"from collections import namedtuple\n\nimport tensorflow as tf\nimport math\n\nimport graphsage.layers as layers\nimport graphsage.metrics as metrics\n\nfrom .prediction import BipartiteEdgePredLayer\nfrom .aggregators import MeanAggregator, MaxPoolingAggregator, MeanPoolingAggregator, SeqAggregator, GCNAggregator\... | [
[
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.reduce_sum",
"tensorflow.cast",
"tensorflow.nn.l2_loss",
"tensorflow.train.AdamOptimizer",
"tensorflow.summary.scalar",
"tensorflow.get_collection",
"tensorflow.nn.top_k",
"tensorflow.train.Saver",
"tensorflow.nn.l2_n... |
kristianmeyerr/AMICI | [
"15f14c24b781daf5ceb3606d79edbbf57155a043"
] | [
"python/tests/test_heavisides.py"
] | [
"\"\"\"Tests for SBML events, including piecewise expressions.\"\"\"\nimport numpy as np\nimport pytest\n\n\nfrom util import (\n create_sbml_model,\n create_amici_model,\n check_trajectories_without_sensitivities,\n check_trajectories_with_forward_sensitivities,\n)\n\n@pytest.fixture(params=[\n 'sta... | [
[
"numpy.log",
"numpy.linspace",
"numpy.floor",
"numpy.array",
"numpy.exp"
]
] |
yashraj02/incubator-mxnet | [
"91b8e575072b92c5bf1a6ad211249b3a9b528221"
] | [
"tests/python/unittest/test_symbol.py"
] | [
"# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); y... | [
[
"numpy.random.permutation"
]
] |
shuva10v/airflow | [
"caadbc1618d73e054de99138b0892cea3a9327c4"
] | [
"airflow/contrib/hooks/salesforce_hook.py"
] | [
"# -*- coding: utf-8 -*-\n#\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... | [
[
"pandas.DataFrame.from_records",
"pandas.to_datetime",
"pandas.Series"
]
] |
ch-shin/nlp-tutorial | [
"8b05db81daa98fae519bbe652f4b4e6b8cb8777a"
] | [
"5-1.Transformer/Transformer(Greedy_decoder)-Torch.py"
] | [
"'''\n code by Tae Hwan Jung(Jeff Jung) @graykode, Derek Miller @dmmiller612\n Reference : https://github.com/jadore801120/attention-is-all-you-need-pytorch\n https://github.com/JayParks/transformer\n'''\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimport torch.optim as optim\nfrom torch... | [
[
"torch.nn.Softmax",
"numpy.sqrt",
"torch.nn.Embedding",
"torch.FloatTensor",
"torch.autograd.Variable",
"torch.nn.CrossEntropyLoss",
"torch.ones",
"numpy.sin",
"matplotlib.pyplot.figure",
"torch.LongTensor",
"numpy.power",
"torch.nn.Linear",
"torch.nn.Conv1d",
... |
EmanueleGhelfi/tensorflow | [
"d4ddccd3cca4fc837c66ae1dfa190739420ad122"
] | [
"tensorflow/python/distribute/values.py"
] | [
"# Copyright 2018 The TensorFlow Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requ... | [
[
"tensorflow.python.data.experimental.ops.batching.unbatch",
"tensorflow.python.distribute.distribution_strategy_context.get_distribution_strategy",
"tensorflow.python.data.ops.dataset_ops.make_one_shot_iterator",
"tensorflow.python.framework.device.DeviceSpec.from_string",
"tensorflow.python.f... |
sigmaai/behavioral-cloning | [
"3e9c9fa638de78dbb7cf61d80cc53b275aa0d3e6"
] | [
"visualization.py"
] | [
"\n# Dataset visualization tool\n# Original By: Comma.ai and Chris Gundling\n# Revised and used by Neil Nie\n\n\nimport matplotlib.backends.backend_agg as agg\nfrom i3d import Inception3D\nimport pandas as pd\nfrom os import path\nimport numpy as np\nimport cv2\nimport pygame\nimport pylab\nimport helper\nimport co... | [
[
"pandas.read_csv",
"numpy.clip",
"matplotlib.backends.backend_agg.FigureCanvasAgg",
"numpy.arange",
"numpy.array"
]
] |
Animadversio/FloodFillNetwork-Notes | [
"c4d207e53db1c2befc79fbc0ef0451d6f877c868"
] | [
"run_inference_script.py"
] | [
"# Copyright 2017 Google 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# https://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed... | [
[
"scipy.special.expit",
"numpy.unique",
"tensorflow.gfile.Exists",
"tensorflow.gfile.MakeDirs",
"numpy.sum"
]
] |
yanghr/Hoyer_MNIST | [
"2a50da067ba10f2fc783624f448fb5ca91914ff6"
] | [
"mnist/CNN/prun_tune_T.py"
] | [
"import argparse\nimport os\n\nimport numpy as np\nimport scipy.io as sio\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import datasets, transforms\nfrom tqdm import tqdm\n\nfrom net.models import LeNet_5 as LeNet\nimport util\n\nos.makedirs('sa... | [
[
"torch.cuda.manual_seed",
"torch.load",
"torch.nn.functional.nll_loss",
"torch.manual_seed",
"torch.from_numpy",
"torch.no_grad",
"torch.cuda.is_available",
"torch.device",
"numpy.where"
]
] |
MittalNeha/vision_pytorch | [
"886e4e19d2ddf0d03f5fefdfd001ff6dd67560ac"
] | [
"utils/gradcam.py"
] | [
"import matplotlib.cm as cm\r\nimport numpy as np\r\nimport torch\r\nimport torch.nn.functional as F\r\n\r\n\r\nclass GradCAM():\r\n '''Implementation for Grad-CAM\r\n Steps:\r\n - Load a pre-trained model\r\n - Load an image that can be processed by this model (224x224 for VGG16 why?)\r\n ... | [
[
"torch.nn.functional.adaptive_avg_pool2d",
"torch.nn.functional.relu",
"torch.mul",
"torch.nn.functional.interpolate",
"numpy.transpose",
"matplotlib.cm.jet"
]
] |
arjunsavel/astroML | [
"d378ca41565d1aa39997191d13d46d09d104ff1d"
] | [
"examples/datasets/plot_sdss_specgals.py"
] | [
"\"\"\"\nSDSS Spectroscopic Galaxy Sample\n--------------------------------\nThis figure shows photometric colors of the SDSS spectroscopic galaxy\nsample.\n\"\"\"\n# Author: Jake VanderPlas <vanderplas@astro.washington.edu>\n# License: BSD\n# The figure is an example from astroML: see http://astroML.github.com\n... | [
[
"matplotlib.pyplot.title",
"matplotlib.pyplot.scatter",
"numpy.linspace",
"matplotlib.pyplot.ylim",
"matplotlib.pyplot.axes",
"matplotlib.pyplot.xlim",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.show",
"matplotlib.pyplot.figure"
]
] |
mikalst/MFClassifier | [
"f12dd17764817871cab0b34e309124a880475e2d"
] | [
"mfclassifier/utils/saving.py"
] | [
"import json\nimport numpy as np\nimport os\n\n\ndef save_ridge(\n parameters_simulate_ordinal,\n parameters_simulate_mask,\n parameters_algorithm,\n X_ordinal,\n X_float,\n X_masked,\n ridge,\n out\n):\n percentage_nonzero = X_masked.count_nonzero(\n ) / (X_masked.shape[0] * X_masked.... | [
[
"numpy.sum",
"numpy.abs",
"numpy.save"
]
] |
aliciawyy/notebooks | [
"7f9c73f39e86e2178a428de184c88b74d22bcf81"
] | [
"plot_compare_reduction.py"
] | [
"#!/usr/bin/python\n# -*- coding: utf-8 -*-\n\"\"\"\n=================================================================\nSelecting dimensionality reduction with Pipeline and GridSearchCV\n=================================================================\n\nThis example constructs a pipeline that does dimensionality\... | [
[
"matplotlib.pyplot.legend",
"sklearn.model_selection.GridSearchCV",
"sklearn.decomposition.NMF",
"matplotlib.pyplot.title",
"matplotlib.pyplot.ylim",
"sklearn.feature_selection.SelectKBest",
"matplotlib.pyplot.ylabel",
"sklearn.datasets.load_digits",
"matplotlib.pyplot.bar",
... |
Shengqiang-Zhang/self-attentive-parser | [
"493f74c7acab9824d593f55d231754c5ac7cbb26"
] | [
"src/main.py"
] | [
"import argparse\nimport itertools\nimport os.path\nimport time\n\nimport torch\nimport torch.optim.lr_scheduler\n\nimport numpy as np\n\nimport evaluate\nimport trees\nimport vocabulary\nimport nkutil\nimport parse_nk\n\ntokens = parse_nk\n\n\ndef torch_load(load_path):\n if parse_nk.use_cuda:\n return t... | [
[
"torch.optim.Adam",
"torch.optim.lr_scheduler.ReduceLROnPlateau",
"numpy.random.seed",
"torch.load",
"torch.manual_seed",
"numpy.random.shuffle",
"torch.nn.utils.clip_grad_norm_",
"numpy.random.randint"
]
] |
alawami/MARL | [
"bd0b9a1ebf660f4949825c3869b464255ce9d70f"
] | [
"MADDPG/maddpg.py"
] | [
"# main code that contains the neural network setup\n# policy + critic updates\n# see ddpg.py for other details in the network\n\nfrom ddpg import DDPGAgent\nimport torch\nfrom utilities import soft_update, transpose_to_tensor, transpose_list\nfrom utilities import to_tensor\nfrom utilities import print_variable\n\... | [
[
"torch.stack",
"torch.clamp",
"torch.no_grad",
"torch.cat"
]
] |
dschmitz89/simplenlopt | [
"238000f6f799a2275b1b155046b3740ab5f23014"
] | [
"simplenlopt/_Global_Optimization.py"
] | [
"from simplenlopt._Core import set_auto_maxeval, minimize, is_gradient_based, generate_nlopt_objective, setup_optimizer, normalize_bounds, execute_optimization\nimport numpy as np\n\ndef random_initial_point(lower, upper):\n '''\n Pick one random point from hyperrectangle with uniform probability\n '''\n ... | [
[
"numpy.asarray"
]
] |
benwmcdowell/VASP_add_selective_dynamics | [
"bb4dfb5f72de51018e9a57f25a3441a3362a7799"
] | [
"add_seldyn.py"
] | [
"from numpy import array,dot\r\nfrom numpy.linalg import inv,norm\r\nfrom getopt import getopt\r\nimport sys\r\n\r\ndef add_seldyn(mode, ifile, ofile,reverse, **args):\r\n try:\r\n lv, coord, atomtypes, atomnums, seldyn = parse_poscar(ifile)\r\n except ValueError:\r\n lv, coord, atomtypes, atomn... | [
[
"numpy.linalg.inv",
"numpy.dot",
"numpy.array",
"numpy.linalg.norm"
]
] |
sushant-tech/ga-learner-dsmp-repo | [
"aa40705fd5ac079c656c7c1cb2853a541f7d0447"
] | [
"Topic-Modelling-with-News-headlines/code.py"
] | [
"# --------------\n# import libraries\nimport numpy as np\nimport pandas as pd\nimport re\n\n# Load data\ndata=pd.read_csv(path,parse_dates=[0],infer_datetime_format=True)\n\n# Sort headlines by date of publish\ndata.sort_values('publish_date',inplace=True)\n\n# Retain only alphabets\ndata['headline_text'].apply(la... | [
[
"sklearn.decomposition.TruncatedSVD",
"matplotlib.pyplot.legend",
"pandas.read_csv",
"matplotlib.pyplot.plot",
"sklearn.feature_extraction.text.CountVectorizer",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.show",
"numpy.sum",
"matplotlib.pyplo... |
chinchay/graphene-oxide | [
"6da0cc8eb951415e71e8c169f868ee9141186c2e"
] | [
"mtp_2D_7l/randomsurface/r23.py"
] | [
"import generate as gn\nimport randomSurface as rs\nfrom timeit import default_timer as timer\n\n\nstart = timer()\n\nlistA, listE = rs.getCurvesNotHighlyOrdrd(xlim=[14.0, 20.0], nLines=17, nRepeat=51)\n\nend = timer()\n\n#print(end - start)\nf = open(\"timeittook2\", \"w\")\nf.write( \"time = \" + str( end - start... | [
[
"numpy.asarray",
"numpy.savetxt"
]
] |
iisadoramacedo/geofem-master | [
"cc5cf4ae660480dd4dc3d805310f7207fb28230e"
] | [
"geofem/emg3d/meshes.py"
] | [
"\"\"\"\n\n:mod:`meshes` -- Discretization\n===============================\n\nEverything related to meshes appropriate for the multigrid solver.\n\n\"\"\"\n# Copyright 2018-2020 The emg3d Developers.\n#\n# This file is part of emg3d.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may n... | [
[
"numpy.nanmax",
"numpy.sqrt",
"numpy.squeeze",
"numpy.nanmin",
"numpy.cumsum",
"numpy.max",
"numpy.argmin",
"numpy.clip",
"numpy.unique",
"numpy.arange",
"numpy.ceil",
"numpy.diff",
"numpy.zeros",
"numpy.isclose",
"scipy.optimize.fsolve",
"numpy.floo... |
jms0923/mmdet_tta | [
"8d4c298d615c07302ae668346c46c6bfd93a11bd"
] | [
"predict_utils.py"
] | [
" \nfrom abc import ABCMeta, abstractmethod\nfrom collections import OrderedDict\nfrom random import randint\n\nimport cv2\nimport mmcv\nimport numpy as np\nimport os\nimport torch\nimport torch.distributed as dist\nimport torch.nn as nn\nfrom mmcv.runner import auto_fp16\nfrom mmcv.utils import print_log\nfrom mm... | [
[
"numpy.random.seed",
"numpy.ascontiguousarray",
"numpy.full",
"numpy.concatenate",
"numpy.delete",
"numpy.where",
"numpy.vstack",
"numpy.random.randint"
]
] |
1069066484/datasci_prj4 | [
"8ff02e4b571bb3f166b2e94a7e4477afd8ac935c"
] | [
"HKMM.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon May 13 22:29:48 2019\n\n@author: 12709\n\n-- Zhixin Ling modified. 2019/5/17. \n Adding example codes to evaluate training and test accuracies and domain adaptation improvement.\n\"\"\"\n\nimport numpy as np\nimport sklearn.metrics\nfrom cvxopt import matrix, solv... | [
[
"numpy.sqrt",
"numpy.asarray",
"numpy.eye",
"numpy.ones",
"sklearn.svm.SVC",
"sklearn.svm.LinearSVC",
"numpy.array",
"numpy.zeros"
]
] |
zimmerman-cole/rbm-lai | [
"6bea9187988d99879d53ac3994d2efad1807eef4"
] | [
"src/lai.py"
] | [
"\"\"\"\nLocal ancestry inference.\n\"\"\"\nimport numpy as np\nimport itertools\nfrom collections import namedtuple\n\nimport matplotlib.pyplot as plt\n\ndef compute_window_accuracies(imputations, H_valid, window_size, save_path=None, hooks=list()):\n \"\"\"\n TODO: doc\n \n Args:\n ================... | [
[
"numpy.zeros",
"numpy.where"
]
] |
jonah-chen/alphazero-guerzhoy | [
"9e45994d8fc687001bb98caefa2f89a7b4707ea1"
] | [
"8x8/ai.py"
] | [
"\"\"\"Constructs the Neural Network described in D. Silver et. al. Mastering the game of Go without human knowldege, Nature 550, 354-359(2017) doi:10.1038/nature24270.\n\nAuthor(s): Jonah Chen, Muhammad Ahsan Kaleem\n\"\"\"\n\nfrom concurrent.futures import ProcessPoolExecutor\n\nimport numpy as np\nimport tensorf... | [
[
"tensorflow.keras.models.load_model",
"tensorflow.keras.callbacks.ModelCheckpoint",
"tensorflow.keras.layers.Input",
"tensorflow.keras.layers.ReLU",
"numpy.rot90",
"tensorflow.keras.regularizers.l2",
"tensorflow.keras.optimizers.SGD",
"tensorflow.keras.Model",
"tensorflow.keras... |
archaeo-pteryx/montepython_public | [
"6fbcaa3266fd3a10a8e3ed4190dc65e6f29f1a37"
] | [
"montepython/likelihoods/Pantheon/__init__.py"
] | [
"\"\"\"\n.. module:: Pantheon\n :synopsis: Pantheon likelihood from Jones et al. 2018 and Scolnic et al. 2018\n\n.. moduleauthor:: Rodrigo von Marttens <rodrigovonmarttens@gmail.com> and Antonella Cid <antonellacidm@gmail.com>\n\nBased on the previous JLA likelihood writted by Benjamin Audren\n\n.. code::\n\n ... | [
[
"numpy.diag",
"numpy.log10",
"scipy.linalg.cholesky",
"scipy.linalg.solve_triangular",
"numpy.empty"
]
] |
haven-ai/optimization-benchmark | [
"7dd7c01b7e39d1ae4bcd365c6f854598d32867da"
] | [
"src/optimizers/__init__.py"
] | [
"import numpy as np\n# from . import sls\nfrom . import others\nfrom . import adaptive_first, adaptive_second\nimport torch\nfrom src.optimizers import sls, sps, ssn, sls_acc, sls_eg\n\n\ndef get_optimizer(opt, params, train_loader, exp_dict):\n \"\"\"\n opt: name or dict\n params: model parameters\n n_... | [
[
"torch.optim.RMSprop",
"torch.optim.Adam",
"torch.optim.Adagrad",
"torch.optim.SGD"
]
] |
jrcyyzb/yolox- | [
"46d7656874daf4121552a1d1d925c827f27e598a"
] | [
"RoYOLOX/mmdet/datasets/pipelines/loading.py"
] | [
"# Copyright (c) OpenMMLab. All rights reserved.\nimport os.path as osp\n\nimport mmcv\nimport numpy as np\nimport pycocotools.mask as maskUtils\n\nfrom mmdet.core import BitmapMasks, PolygonMasks\nfrom ..builder import PIPELINES\n\ntry:\n from panopticapi.utils import rgb2id\nexcept ImportError:\n rgb2id = N... | [
[
"numpy.stack",
"numpy.ones",
"numpy.zeros_like",
"numpy.array",
"numpy.zeros",
"numpy.where"
]
] |
tqtifnypmb/ML | [
"dfcc6f849b1d5ee2efd0faa0f585091fc7263a6c"
] | [
"rebuild_wheel/MLP/Gradient_Methods.py"
] | [
"import tensorflow as tf\nimport numpy as np\n\nfrom sklearn import datasets\nfrom sklearn import metrics\nfrom sklearn import neural_network\nfrom sklearn import preprocessing\nfrom math import floor, sqrt\n\nclass MLP:\n def __init__(self, \n learning_rate,\n gradient_type, \n ... | [
[
"tensorflow.zeros",
"tensorflow.reduce_sum",
"numpy.max",
"numpy.mean",
"tensorflow.train.AdamOptimizer",
"tensorflow.group",
"numpy.hstack",
"tensorflow.Variable",
"tensorflow.gradients",
"tensorflow.losses.softmax_cross_entropy",
"numpy.argmax",
"tensorflow.add",
... |
Luigii1506/machine-learning-udemy-courses | [
"29ffde26ce1a17e37fe13cbea7ce9909ff4ca682"
] | [
"Classification/Naive-bayes/naive_bayes.py"
] | [
"# Classification template\n\n# Importing the libraries\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport pandas as pd\n\n# Importing the dataset\ndataset = pd.read_csv('Social_Network_Ads.csv')\nX = dataset.iloc[:, [2, 3]].values\ny = dataset.iloc[:, 4].values\n\n# Splitting the dataset into the Trainin... | [
[
"matplotlib.pyplot.legend",
"sklearn.cross_validation.train_test_split",
"pandas.read_csv",
"sklearn.naive_bayes.GaussianNB",
"matplotlib.pyplot.title",
"numpy.unique",
"sklearn.metrics.confusion_matrix",
"matplotlib.colors.ListedColormap",
"matplotlib.pyplot.xlabel",
"skle... |
ranOutaNames/pandas | [
"fea6799dba6657393ff34deab21aae05538f4985"
] | [
"pandas/core/window/rolling.py"
] | [
"\"\"\"\nProvide a generic structure to support window functions,\nsimilar to how we have a Groupby object.\n\"\"\"\nfrom __future__ import annotations\n\nimport copy\nfrom datetime import timedelta\nfrom functools import partial\nimport inspect\nfrom textwrap import dedent\nfrom typing import (\n TYPE_CHECKING,... | [
[
"pandas.Series",
"pandas.core.window.numba_.generate_numba_table_func",
"pandas.core.window.indexers.FixedWindowIndexer",
"pandas.core.dtypes.missing.notna",
"numpy.concatenate",
"pandas.compat.numpy.function.validate_rolling_func",
"pandas.core.apply.ResamplerWindowApply",
"pandas... |
pgunn/ffn | [
"8d9e7a34feb3829338561b8875146b7308d3d793"
] | [
"ffn/utils/bounding_box.py"
] | [
"# Copyright 2017 Google 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# https://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed... | [
[
"numpy.maximum",
"numpy.minimum",
"numpy.all",
"numpy.any",
"numpy.ravel_multi_index",
"numpy.array",
"numpy.unravel_index"
]
] |
justkj7/capstone | [
"f458b6624b8aa75961a0ab78e9847355022940d3"
] | [
"tapas/run_task_main.py"
] | [
"# coding=utf-8\n# Copyright 2019 The Google AI Language Team Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unl... | [
[
"tensorflow.compat.v1.estimator.tpu.TPUEstimator",
"tensorflow.compat.v1.io.gfile.exists",
"tensorflow.compat.v1.config.experimental.list_physical_devices",
"tensorflow.compat.v1.disable_v2_behavior",
"tensorflow.compat.v1.test.is_gpu_available",
"tensorflow.compat.v1.estimator.tpu.TPUConf... |
annierak/odor_tracking_sim | [
"4600a7be942666c3a5a0f366dab6d14838f332a0"
] | [
"odor_tracking_sim/simulation_running_tools.py"
] | [
"import time\nimport scipy\nimport matplotlib.pyplot as plt\nimport matplotlib.animation as animate\nimport matplotlib\n# matplotlib.use(\"Agg\")\nimport cPickle as pickle\nimport sys\nimport itertools\n\nimport odor_tracking_sim.wind_models as wind_models\nimport odor_tracking_sim.odor_models as odor_models\nimpor... | [
[
"matplotlib.pyplot.gca",
"scipy.random.vonmises",
"matplotlib.pyplot.scatter",
"scipy.zeros",
"scipy.radians",
"scipy.full",
"matplotlib.pyplot.subplot",
"scipy.stats.uniform",
"scipy.cos",
"scipy.sin",
"scipy.array",
"scipy.stats.vonmises",
"matplotlib.pyplot.i... |
spencer-hong/unilm | [
"4f2b9016789217b565e5a4fd40f2e31dbe83623a"
] | [
"layoutlm/deprecated/layoutlm/modeling/layoutlm.py"
] | [
"import logging\n\nimport torch\nfrom torch import nn\nfrom torch.nn import CrossEntropyLoss, MSELoss\nfrom transformers import BertConfig, BertModel, BertPreTrainedModel\n# from transformers.modeling_bert import BertLayerNorm\n\nlogger = logging.getLogger(__name__)\n\nLAYOUTLM_PRETRAINED_MODEL_ARCHIVE_MAP = {}\n\n... | [
[
"torch.nn.MSELoss",
"torch.nn.Dropout",
"torch.nn.CrossEntropyLoss",
"torch.zeros_like",
"torch.nn.Embedding",
"torch.nn.LayerNorm",
"torch.nn.Linear",
"torch.arange",
"torch.ones_like"
]
] |
j-Myles/2300-LEED-Project | [
"c8a99c811c4c6e5f2b1b565e5b0d3e9721b70dd1"
] | [
"src/proj/usgbc/table.py"
] | [
"import matplotlib.pyplot as plt\nimport math\n\ndef show(dataframe):\n\n fig = plt.figure(figsize=(10, 5))\n ax = fig.add_subplot(111)\n\n ax.set_title('LEED Buildings by City')\n ax.xaxis.set_visible(False)\n ax.yaxis.set_visible(False)\n\n lbls = ('City', 'Count')\n\n cells = dataframe.value... | [
[
"matplotlib.pyplot.show",
"matplotlib.pyplot.figure"
]
] |
lanl/PsDNS | [
"2fcb12d52e522906c93d7a28e5397cae81feb376"
] | [
"psdns/tests/test_dns.py"
] | [
"\"\"\"Tests of the DNS solver\n\nDirect-numerical simulation (DNS) of the incompressible Navier-Stokes\nequation is the key capability of PsDNS. This module contains tests\nof the DNS solver.\n\"\"\"\nimport numpy\nfrom numpy import testing as nptest\n\nfrom psdns import *\nfrom psdns.equations.navier_stokes impo... | [
[
"numpy.array",
"numpy.interp"
]
] |
VladimirYugay/PIFu | [
"8f80e7ee539098e53c419a518f6f180dbdec97c5"
] | [
"lib/colab_util.py"
] | [
"import io\nimport os\nimport torch\nfrom skimage.io import imread\nimport numpy as np\nimport cv2\nfrom tqdm import tqdm_notebook as tqdm\nimport base64\nfrom IPython.display import HTML\n\n# Util function for loading meshes\nfrom pytorch3d.io import load_objs_as_meshes\n\nfrom IPython.display import HTML\nfrom ba... | [
[
"torch.cuda.set_device",
"torch.from_numpy",
"numpy.concatenate",
"torch.device",
"numpy.array",
"torch.ones_like"
]
] |
alestolfo/jiant | [
"31efcd3b54ec4d84403854b1a4ce321a2792b503"
] | [
"jiant/tasks/evaluate/core.py"
] | [
"import itertools\nimport json\n\nfrom dataclasses import dataclass\n\nimport numpy as np\nimport pandas as pd\nimport seqeval.metrics as seqeval_metrics\nimport torch\n\nfrom scipy.stats import pearsonr\nfrom scipy.stats import spearmanr\nfrom sklearn.metrics import f1_score\nfrom sklearn.metrics import matthews_c... | [
[
"numpy.arange",
"numpy.squeeze",
"sklearn.metrics.matthews_corrcoef",
"scipy.stats.pearsonr",
"pandas.DataFrame",
"numpy.stack",
"numpy.concatenate",
"numpy.argmax",
"numpy.mean",
"torch.cuda.is_available",
"numpy.exp",
"scipy.stats.spearmanr",
"sklearn.metrics.... |
CODEJIN/PWGAN_for_HiFiSinger | [
"9c7b0b62e8624180897a791db1517676f2012c5d"
] | [
"Train.py"
] | [
"import os\nos.environ['FOR_DISABLE_CONSOLE_CTRL_HANDLER'] = 'T' # This is ot prevent to be called Fortran Ctrl+C crash in Windows.\nimport torch\nimport numpy as np\nimport logging, yaml, sys, argparse, math\nfrom tqdm import tqdm\nfrom collections import defaultdict\nimport matplotlib\nmatplotlib.use('agg')\ni... | [
[
"matplotlib.pyplot.imshow",
"torch.load",
"matplotlib.pyplot.plot",
"torch.no_grad",
"torch.cuda.is_available",
"torch.device",
"matplotlib.pyplot.subplot2grid",
"matplotlib.pyplot.tight_layout",
"torch.utils.data.DistributedSampler",
"numpy.clip",
"matplotlib.pyplot.cl... |
rguo12/pytorch-ntm | [
"d08291fac4dccaa3c8d081bad06802d9e4d737ea"
] | [
"ntm/head.py"
] | [
"\"\"\"NTM Read/Write Head.\"\"\"\nimport torch\nfrom torch import nn\nfrom torch.autograd import Variable\nimport torch.nn.functional as F\nimport numpy as np\n\n\ndef _split_cols(mat, lengths):\n \"\"\"Split a 2D matrix to variable length columns.\"\"\"\n assert mat.size()[1] == sum(lengths), \"Lengths must... | [
[
"torch.zeros",
"numpy.cumsum",
"torch.nn.functional.sigmoid",
"torch.nn.functional.relu",
"torch.nn.init.xavier_uniform",
"torch.nn.init.normal"
]
] |
greycubesgav/tensorflow-2-style-transfer | [
"87d5b88543b68064c33a6411a42ae1fd84708394"
] | [
"utils.py"
] | [
"# MIT License\n#\n# Copyright (c) 2019 Drew Szurko\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the rights\n# to use, copy, m... | [
[
"tensorflow.shape",
"tensorflow.cast",
"tensorflow.image.resize",
"tensorflow.image.decode_image",
"tensorflow.image.convert_image_dtype",
"tensorflow.io.read_file",
"tensorflow.io.write_file"
]
] |
freekang/m_hydra_nn | [
"7cbdb6f43fe1f02d712e6c803c770bd961140048"
] | [
"src/models/mnist_module.py"
] | [
"from typing import Any, List\n\nimport torch\nfrom pytorch_lightning import LightningModule\nfrom torchmetrics import MaxMetric\nfrom torchmetrics.classification.accuracy import Accuracy\n\nfrom src.models.components.simple_dense_net import SimpleDenseNet\n\n\nclass MNISTLitModule(LightningModule):\n \"\"\"\n ... | [
[
"torch.nn.CrossEntropyLoss",
"torch.argmax"
]
] |
PrivacyAmp/cardinality_estimation_evaluation_framework | [
"c6f16733f821bba99c1e5ca827025a063f5689ae"
] | [
"src/simulations/frequency_set_generator.py"
] | [
"# Copyright 2020 The Private Cardinality Estimation Framework 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# Un... | [
[
"numpy.arange",
"numpy.log",
"numpy.exp",
"numpy.minimum"
]
] |
aneeshnaik/HernquistFlows | [
"7f81f9b47297b115ae6b593593aac59afafc48b3"
] | [
"figures/fig2_derivs.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nFigure 2: Gradients of isotropic Hernquist DF and reconstructions.\n\nCreated: May 2021\nAuthor: A. P. Naik\n\"\"\"\nimport numpy as np\nimport sys\nimport matplotlib.pyplot as plt\nfrom matplotlib.colors import SymLogNorm\nfrom os.path import exists\n\nsys.... | [
[
"numpy.savez",
"numpy.sqrt",
"numpy.linspace",
"matplotlib.colors.SymLogNorm",
"numpy.stack",
"matplotlib.pyplot.colorbar",
"numpy.zeros_like",
"numpy.errstate",
"numpy.load",
"numpy.array",
"numpy.meshgrid",
"numpy.divide",
"matplotlib.pyplot.figure"
]
] |
theonov13/pyscf | [
"490a20d406b33c5d168ae4152d5422cff516b3ea"
] | [
"pyscf/lib/gto/test/test_gridao.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.swapaxes",
"numpy.random.random",
"numpy.random.seed",
"numpy.asarray",
"numpy.ndarray",
"numpy.ones",
"numpy.zeros"
]
] |
fabienbaradel/object_level_visual_reasoning | [
"f504715c2ea9464e8dd4076584c30ab34937de22"
] | [
"loader/videodataset.py"
] | [
"from __future__ import print_function\nimport torch\nimport torch.utils.data as data\nfrom torchvision import transforms\nimport os\nimport random\nfrom PIL import Image\nimport numpy as np\nimport ipdb\nimport pickle\nfrom pycocotools import mask as maskUtils\nimport lintel\nimport time\nfrom torch.utils.data.dat... | [
[
"numpy.clip",
"numpy.asarray",
"torch.from_numpy",
"numpy.stack",
"numpy.frombuffer",
"numpy.float32",
"numpy.array",
"numpy.zeros",
"numpy.sum",
"torch.nn.functional.pad",
"torch.utils.data.dataloader.default_collate"
]
] |
hb-jones/rp1-ros | [
"afc2888f5da7a2b4cc6d9e07ce017f26996e58c3"
] | [
"src/ueye_sample.py"
] | [
"#===========================================================================#\r\n# #\r\n# Copyright (C) 2006 - 2018 #\r\n# IDS Imaging Development Systems GmbH ... | [
[
"numpy.reshape"
]
] |
xiaoyu-liu/Titanic | [
"2551aa59ca8a46227aede777d31b70a0da962cbb"
] | [
"DataCleaning.py"
] | [
"##------------------- Import Packages -------------------------\n##-------------------------------------------------------------\n\n# Basic packages for database and for scientific computing\nimport os\nimport pandas as pd\nimport numpy as np\n# import random as rnd\n\n# Visualization tool\nimport seaborn as sns\n... | [
[
"pandas.read_csv",
"pandas.qcut",
"pandas.DataFrame"
]
] |
checko/caffe-jacinto-models | [
"b224970200f36fc6d07d3f40348f2565bcb1b522"
] | [
"scripts/tools/utils/infer_segmentation.py"
] | [
"#!/usr/bin/env python\n\nfrom __future__ import print_function\n\nimport sys\nimport numpy as np\nimport os, glob\nimport cv2\nimport caffe\n#import lmdb\nfrom PIL import Image\nimport argparse\nimport random\nimport shutil\nimport imageio\nimport math\n\ndef get_arguments():\n parser = argparse.ArgumentParser(... | [
[
"numpy.uint8",
"numpy.array",
"numpy.where",
"numpy.sum",
"numpy.zeros"
]
] |
seabay/fairseq-py-mine | [
"641f1d3a492164f07de66a0bc75abd4fdb2e71a0"
] | [
"fairseq/models/fconv.py"
] | [
"# Copyright (c) 2017-present, Facebook, Inc.\n# All rights reserved.\n#\n# This source code is licensed under the license found in the LICENSE file in\n# the root directory of this source tree. An additional grant of patent rights\n# can be found in the PATENTS file in the same directory.\n#\n\nimport math\nimport... | [
[
"torch.nn.functional.glu",
"torch.nn.functional.dropout",
"torch.nn.utils.weight_norm",
"torch.nn.ModuleList",
"torch.nn.Embedding",
"torch.nn.Linear",
"torch.arange"
]
] |
StatNLP/discretezoo | [
"565552b894a5c9632ac7b949d61a6f71123031e4"
] | [
"textattack/constraints/grammaticality/language_models/google_language_model/alzantot_goog_lm.py"
] | [
"\"\"\"\n\nGoogle Language Models from Alzantot\n--------------------------------------\n\n Author: Moustafa Alzantot (malzantot@ucla.edu)\n All rights reserved.\n\"\"\"\n\nimport os\n\nimport lru\nimport numpy as np\n\nfrom textattack.shared import utils\n\nfrom . import lm_data_utils, lm_utils\n\ntf = utils... | [
[
"numpy.array",
"numpy.zeros",
"numpy.ones"
]
] |
jayceyxc/YAD2K | [
"973cc74b0340f8ffa2d8e5c9d2c28700dddb15aa"
] | [
"train_overfit.py"
] | [
"#! /usr/bin/env python\n\"\"\"Overfit a YOLO_v2 model to a single image from the Pascal VOC dataset.\n\nThis is a sample training script used to test the implementation of the\nYOLO localization loss function.\n\"\"\"\nimport argparse\nimport io\nimport os\n\nimport h5py\nimport matplotlib.pyplot as plt\nimport nu... | [
[
"matplotlib.pyplot.imshow",
"numpy.expand_dims",
"tensorflow.device",
"matplotlib.pyplot.savefig",
"numpy.concatenate",
"numpy.array",
"numpy.where",
"matplotlib.pyplot.show"
]
] |
Mktan-18/collab | [
"6f0e3a0bf5b4be72985d02d33b15a23c685b963b"
] | [
"official/nlp/bert/run_squad.py"
] | [
"# Copyright 2019 The TensorFlow Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requ... | [
[
"tensorflow.train.latest_checkpoint",
"tensorflow.reduce_mean",
"tensorflow.train.Checkpoint",
"tensorflow.keras.mixed_precision.experimental.set_policy",
"tensorflow.io.gfile.GFile",
"tensorflow.keras.backend.sparse_categorical_crossentropy",
"tensorflow.version.VERSION.startswith",
... |
dianna-ai/dianna | [
"88bcaec001e640c35e5e1e08517ef1624fd661cb"
] | [
"dianna/methods/shap.py"
] | [
"import numpy as np\n\n\nclass SHAP:\n \"\"\"\n SHAP implementation based on captum https://github.com/pytorch/captum\n \"\"\"\n def __init__(self, shap_arg_1=0, shap_arg_2=0):\n \"\"\"\n Example constructor for testing.\n \"\"\"\n self.shap_arg_1 = shap_arg_1\n self.s... | [
[
"numpy.zeros"
]
] |
RTXteam/kgx | [
"902ad8e9ac9069616ded61c8a5a7a61c4467335c"
] | [
"kgx/pandas_transformer.py"
] | [
"import logging\nimport tarfile\nfrom tempfile import TemporaryFile\nfrom typing import List, Dict\n\nimport numpy as np\nimport pandas as pd\n\nfrom kgx.transformer import Transformer\nfrom kgx.utils import make_path\n\nLIST_DELIMITER = '|'\n\n_column_types = {\n 'publications': list,\n 'qualifiers': list,\n... | [
[
"pandas.DataFrame.from_records",
"pandas.read_csv"
]
] |
bjodah/finitediff | [
"bfb1940cf5c7ce5c9a3b440d1efd8f8c4128fed8"
] | [
"setup.py"
] | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\nimport io\nimport os\nimport pprint\nimport re\nimport shutil\nimport subprocess\nimport sys\nimport warnings\n\nfrom setuptools import setup\n\ntry:\n import cython\nexcept ImportError:\n _HAVE_CYTHON = False\nelse:\n _HAVE_CYTHON = True\n assert cytho... | [
[
"numpy.get_include"
]
] |
WayneDW/Interacting-Contour-Stochastic-Gradient-Langevin-Dynamics | [
"ecc073572d283895cf2629faf5522d83b23da1e3"
] | [
"mnist_energy_exploration/tools/uncertainty_test.py"
] | [
"#!/usr/bin/python\n\nimport math\nimport copy\nimport sys\nimport os\nimport timeit\nimport csv\nimport argparse\nfrom tqdm import tqdm ## better progressbar\nfrom math import exp\nfrom sys import getsizeof\nimport numpy as np\nimport random\nimport pickle\n## import pytorch modules\nimport torch\nfrom torch.autog... | [
[
"torch.nn.Softmax",
"torch.mean",
"torch.cuda.set_device",
"torch.load",
"torch.set_printoptions",
"torch.utils.data.DataLoader",
"torch.log",
"torch.nn.functional.one_hot",
"torch.autograd.Variable"
]
] |
prashantas/MyOwnR | [
"8db4f288b30840161c6422bde7c7a7770f85c09d"
] | [
"DeepNetwork/ImpNotes.py"
] | [
"#TO understand ImgeDataGenerator see https://www.youtube.com/watch?v=OUMDUq5OJLg&t=3297s from 25 mins\n\n#########################################################################################################################\n#### https://www.youtube.com/watch?v=yX8KuPZCAMo # Very Good Link from Edur... | [
[
"tensorflow.Variable",
"tensorflow.reduce_sum",
"tensorflow.placeholder",
"tensorflow.global_variables_initializer",
"tensorflow.train.GradientDescentOptimizer",
"tensorflow.square",
"tensorflow.Session"
]
] |
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