repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
xinglong-zh/nas-cnn-rnn | [
"48b5a7523524a792c9b5500263f2d474ef5399b2"
] | [
"data.py"
] | [
"import os\nimport torch\nfrom os.path import dirname, realpath, abspath,join,exists\n\nfrom collections import Counter\n\nclass Dictionary(object):\n def __init__(self):\n self.word2idx = {}\n self.idx2word = []\n self.counter = Counter()\n self.total = 0\n\n def add_word(self, wo... | [
[
"torch.LongTensor"
]
] |
CMessinides/thrones-sentiment-analysis | [
"56dfb664d5a2912cc32f377db432d7220e71cf07"
] | [
"scripts/transform.py"
] | [
"import json\nimport math\n\nimport pandas as pd\nfrom scipy import stats\n\nfrom lib.settings import DATA_DIR\nfrom lib.characters import ALL_NAMES\nfrom lib.episodes import getSequentialEpisodeNumber\n\nraw_comments = pd.read_csv(DATA_DIR / \"comments.csv\")\nraw_mentions = pd.read_csv(DATA_DIR / \"character-ment... | [
[
"pandas.read_csv",
"scipy.stats.t.ppf",
"pandas.merge"
]
] |
ancasag/labelGlandula | [
"ebc315bdc0cc3fca1e365ccf0e237cdace4d6f29"
] | [
"predict/detect.py"
] | [
"import cv2 as cv\nimport numpy as np\nimport xml.etree.ElementTree as ET\nfrom xml.dom import minidom\nfrom imutils import paths\nimport os\nfrom tqdm import tqdm\n\n\nconfThreshold = 0.4 # Confidence threshold\nnmsThreshold = 0.4 # Non-maximum suppression threshold\ninpWidth = 416 # Width of network's input im... | [
[
"numpy.argmax"
]
] |
PASpine/Xspine | [
"6d427adb30abda9e6408e37e2a802af4f6db2feb"
] | [
"utils.py"
] | [
"import sys\r\nimport os\r\nimport time\r\nimport math\r\nimport torch\r\nimport numpy as np\r\nfrom PIL import Image, ImageDraw, ImageFont\r\nfrom torchvision import transforms\r\nimport torch.nn.functional as F\r\n\r\nimport itertools\r\nimport struct # get_image_size\r\nimport imghdr # get_image_size\r\n\r\n\r... | [
[
"torch.zeros",
"torch.sigmoid",
"numpy.array",
"numpy.ceil",
"torch.min",
"numpy.zeros",
"torch.max",
"torch.FloatTensor",
"torch.no_grad",
"torch.nn.functional.interpolate",
"torch.linspace",
"torch.clamp",
"torch.from_numpy",
"numpy.loadtxt",
"torch.te... |
SuchockiArtur/t-SNE-for-FaceNet | [
"575731e1687a2d2201ab147823910e87b1f55d7c"
] | [
"packages/classifier.py"
] | [
"from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport math\nimport os\nimport pickle\n\nimport numpy as np\nimport tensorflow as tf\nfrom sklearn.svm import SVC\n\nfrom packages import facenet\n\n\nclass training:\n def __init__(self, datadir, m... | [
[
"numpy.zeros",
"tensorflow.get_default_graph",
"tensorflow.Graph",
"tensorflow.Session",
"sklearn.svm.SVC"
]
] |
koverman47/Sequential-Dynamic-Blotto | [
"6867ebb47a6f822c5671c6db6b071d22fb3e80e0"
] | [
"search.py"
] | [
"#!/usr/bin/env python3\n\nimport sys\nimport math\nimport numpy as np\nfrom time import time\nfrom shapely.geometry import Point\nfrom shapely.geometry.polygon import Polygon\nfrom scipy.spatial import ConvexHull\nfrom utils import gen_kspace\nfrom node import Node\n\nclass Minimax:\n\n def __init__(self, A, R,... | [
[
"numpy.array",
"numpy.dot",
"numpy.zeros",
"numpy.round",
"numpy.sum",
"numpy.ones",
"numpy.eye",
"numpy.where",
"scipy.spatial.ConvexHull",
"numpy.unique"
]
] |
ziming-liu/ObjectDet | [
"6e25fa784114b9773b052d9d5465aa6fed93468a"
] | [
"mmdet/models/backbones/shareresnet_sumup0.py"
] | [
"import logging\n\nimport torch\nimport torch.nn as nn\nimport torch.utils.checkpoint as cp\nfrom mmcv.cnn import constant_init, kaiming_init\nfrom mmcv.runner import load_checkpoint\nfrom torch.nn.modules.batchnorm import _BatchNorm\n\nfrom mmdet.models.plugins import GeneralizedAttention\nfrom mmdet.models.utils ... | [
[
"torch.nn.MaxPool2d",
"torch.nn.Sequential",
"torch.nn.ReLU",
"torch.nn.Conv2d",
"torch.utils.checkpoint.checkpoint"
]
] |
greenfieldvision/psiz | [
"37068530a78e08792e827ee55cf55e627add115e"
] | [
"src/psiz/keras/sparse_dispatcher.py"
] | [
"# coding=utf-8\n# Copyright 2020 The Tensor2Tensor Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requir... | [
[
"tensorflow.shape",
"tensorflow.concat",
"tensorflow.expand_dims",
"tensorflow.reshape",
"tensorflow.transpose",
"tensorflow.gather",
"tensorflow.split",
"tensorflow.unstack",
"tensorflow.cast"
]
] |
leonfoks/empymod | [
"6c5f158b6093f8dcc1dec63057e6d3fd523fdbee"
] | [
"empymod/kernel.py"
] | [
"r\"\"\"\n\n:mod:`kernel` -- Kernel calculation\n===================================\n\nKernel of ``empymod``, calculates the wavenumber-domain electromagnetic\nresponse. Plus analytical full- and half-space solutions.\n\nThe functions ``wavenumber``, ``angle_factor``, ``fullspace``, ``greenfct``,\n``reflections``,... | [
[
"numpy.exp",
"numpy.min",
"numpy.invert",
"numpy.sign",
"numpy.cos",
"numpy.imag",
"scipy.special.kve",
"numpy.sin",
"numpy.zeros_like",
"numpy.vectorize",
"numpy.log",
"numpy.seterr",
"numpy.sqrt",
"numpy.real",
"numpy.shape",
"scipy.special.ive",
... |
jbinder/nn-eval | [
"1aed1bb84683392569466071155bfa825fed36e0"
] | [
"test/unit_tests/normalizer/tools_test.py"
] | [
"import unittest\n\nimport numpy as np\n\nfrom normalizer.tools import get_normalizer\n\n\n# noinspection PyMethodMayBeStatic\nclass ToolsTest(unittest.TestCase):\n def test_normalize_valid_data(self):\n normalizer_names = ['Identity', 'Reciprocal', 'SklearnStandard']\n for normalizer_name in norma... | [
[
"numpy.array"
]
] |
wwilla7/pAPRika | [
"11a45f144f9bdabaee3ed7ee47cdf93f982dad72"
] | [
"paprika/setup.py"
] | [
"\"\"\"\nThis class contains a simulation setup wrapper for use with the Property Estimator.\n\"\"\"\n\nimport logging\nimport os\nimport shutil\nimport subprocess as sp\nfrom pathlib import Path\n\nimport numpy as np\nimport parmed as pmd\nimport pkg_resources\nimport pytraj as pt\nimport simtk.openmm as openmm\ni... | [
[
"numpy.shape",
"numpy.linalg.eig",
"numpy.argsort",
"numpy.cross",
"numpy.empty_like"
]
] |
tkarna/galene | [
"a05463d3d0c9191c51893df4593d9ce0252d25fb"
] | [
"examples/extract_profiles.py"
] | [
"\"\"\"\nRead NEMO timeprofiles and individual profiles at observation time stamps.\n\"\"\"\nimport galene as ga\nimport iris\nimport numpy\n\nvar_list = ['temp', 'psal']\nobs_id = 'ices-ctd'\ndataset_id = 'run001'\n\nnemo_standard_name = {\n 'temp': 'sea_water_potential_temperature',\n 'salt': 'sea_water_pra... | [
[
"numpy.ma.is_masked",
"numpy.isfinite"
]
] |
Brent1999/FastMOT | [
"7b9ef1398e78ac49131e810f703ceb68e2222744"
] | [
"fastmot/detector.py"
] | [
"from collections import defaultdict\nfrom pathlib import Path\nimport configparser\nimport abc\nimport numpy as np\nimport numba as nb\nimport cupy as cp\nimport cupyx.scipy.ndimage\nimport cv2\n\nfrom . import models\nfrom .utils import TRTInference\nfrom .utils.rect import as_rect, to_tlbr, get_size, area\nfrom ... | [
[
"numpy.concatenate",
"numpy.asarray",
"numpy.zeros",
"numpy.rint",
"numpy.roll",
"numpy.where",
"numpy.loadtxt",
"numpy.prod",
"numpy.append",
"numpy.dtype",
"numpy.maximum"
]
] |
visr/xarray | [
"9e8707d2041cfa038c31fc2284c1fe40bc3368e9"
] | [
"xarray/testing.py"
] | [
"\"\"\"Testing functions exposed to the user API\"\"\"\nfrom __future__ import absolute_import, division, print_function\n\nimport numpy as np\n\nfrom xarray.core import duck_array_ops\n\n\ndef _decode_string_data(data):\n if data.dtype.kind == 'S':\n return np.core.defchararray.decode(data, 'utf-8', 'rep... | [
[
"numpy.core.defchararray.decode"
]
] |
JanCVanB/netflix | [
"e3ff4feab832846640dbb3daa5877ef84a00adaf"
] | [
"utils/data_io.py"
] | [
"\"\"\"Reading and writing tools for interfacing with the large data files\n\n.. moduleauthor:: Jan Van Bruggen <jancvanbruggen@gmail.com>\n\"\"\"\nfrom __future__ import print_function\nimport numpy as np\n\n\ndef _generate_points_from_index(correct_index):\n from utils.data_paths import ALL_DATA_FILE_PATH, ALL... | [
[
"numpy.load"
]
] |
EpicTrol/SCNU-AiMatch | [
"f67512be7aaf8aff1f8cda799d3e843e2f96a33e"
] | [
"one_hot_encoding.py"
] | [
"# -*- coding: UTF-8 -*-\nimport numpy as np\nimport captcha_setting\n\n\ndef encode(text):\n vector = np.zeros(captcha_setting.ALL_CHAR_SET_LEN * captcha_setting.MAX_CAPTCHA, dtype=float)\n def char2pos(c):\n if c =='_':\n k = 62\n return k\n k = ord(c)-48\n if k > ... | [
[
"numpy.zeros"
]
] |
CoEich/gpt-neox | [
"49e60fe7ad14f6991a7fa678d3a0c330d09b9ff4"
] | [
"megatron/utils.py"
] | [
"# coding=utf-8\n\n# Copyright (c) 2021 Josh Levy-Kramer <josh@levykramer.co.uk>.\n# This file is based on code by the authors denoted below and has been modified from its original version.\n#\n# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the ... | [
[
"torch.distributed.get_world_size",
"torch.cuda.synchronize",
"torch.arange",
"torch.cuda.max_memory_allocated",
"torch.cuda.memory_allocated",
"torch.cuda.device_count",
"torch.cuda.current_device",
"torch.distributed.is_initialized",
"torch.cuda.max_memory_reserved",
"tor... |
jainajinkya/snopt-python | [
"832a12c2422d23bbd7d3a476a3a3ae50ac7fc84f"
] | [
"solvers/solution.py"
] | [
"import os, sys\nimport numpy as np\n\n#-------------------------------------------------------------------------------#\nclass SQIC_solution(object):\n '''\n SQIC_solution class:\n '''\n def __init__ (self,name=''):\n self.setup(name)\n\n def setup(self,name):\n self.name = name\... | [
[
"numpy.char.decode",
"numpy.nditer"
]
] |
FredHutch/map_viruses | [
"92186d4024c67b708ee652f232e8878e403fb661"
] | [
"map_viruses.py"
] | [
"#!/usr/bin/python\n\"\"\"Wrapper script to align FASTQ file(s) against a set of viral genomes.\"\"\"\n\nimport os\nimport uuid\nimport time\nimport shutil\nimport logging\nimport argparse\nimport pandas as pd\nfrom lib.exec_helpers import align_reads\nfrom lib.exec_helpers import return_results\nfrom lib.exec_help... | [
[
"pandas.read_table"
]
] |
shashanksira13/ITSP | [
"7fba20d04c327c5cbc276b89e32d949a61ffed48"
] | [
"MIL Simulation/image_gen.py"
] | [
"def image_generate():\r\n #This function doesn't have any parameter the input file from which the acceleration values are taken is called \r\n #'acc.csv'\r\n #Here t is the smapling time \r\n #The created images are saved by the name 'image_<num>.jpeg' where num is the serial number corresponding to th... | [
[
"numpy.asarray",
"numpy.zeros",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.axis",
"matplotlib.pyplot.imread"
]
] |
dianjixz/AutoDL | [
"48db4eb04d55ce69e93d4a3bdc24592bdb34a868"
] | [
"AutoDL_sample_code_submission/at_nlp/run_model.py"
] | [
"import numpy as np\nimport math\nimport gc\n\nimport tensorflow as tf\nfrom keras import backend as K\nfrom keras.preprocessing import sequence\nfrom keras.callbacks import EarlyStopping, LearningRateScheduler\n\nfrom at_toolkit.at_utils import autodl_nlp_install_download\n\nautodl_nlp_install_download()\n\nfrom l... | [
[
"numpy.concatenate",
"numpy.max",
"numpy.array",
"tensorflow.Session",
"numpy.mean",
"tensorflow.ConfigProto"
]
] |
virati/SCC_Readout | [
"9d72a8cf34f437259a3db2c49a2e4d2032422af3"
] | [
"temp_BS.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Wed Jul 8 13:42:23 2020\n\n@author: virati\n\"\"\"\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n# returns 10 evenly spaced samples from 0.1 to 2*PI\nx = np.linspace(0.1, 2 * np.pi, 10)\n\nmarkerline, stemlines, baseline = plt.stem(x,... | [
[
"matplotlib.pyplot.show",
"numpy.linspace",
"matplotlib.pyplot.setp",
"numpy.cos"
]
] |
Mlak300/KeyMessages | [
"f7785f768f471b406d9c0dd3d3b1cf6585a6c43a"
] | [
"main_detect.py"
] | [
"import time\r\nfrom absl import app, flags, logging\r\nfrom absl.flags import FLAGS\r\nimport cv2\r\nimport numpy as np\r\nimport tensorflow as tf\r\nimport glob\r\n# from yolov3_tf2.models import (\r\n# \tYoloV3, YoloV3Tiny\r\n# )\r\n# from yolov3_tf2.dataset import transform_images\r\nfrom yolov3_tf2.dataset imp... | [
[
"tensorflow.saved_model.load",
"tensorflow.expand_dims"
]
] |
ananyaks/data_model | [
"ab3a827864e36e105bbb3fb50744e0f7ce046148"
] | [
"benchmark/postgres/util.py"
] | [
"#!/usr/bin/env python3\n\nimport os\nimport time\nimport yaml\nimport json\n\nimport numpy as np\nfrom resource import getrusage as resource_usage, RUSAGE_SELF\nfrom time import time as timestamp\n\npath_join = os.path.join\n\n_dir = os.path.dirname(os.path.realpath(__file__))\nworkload_dir = path_join(_dir, \"..\... | [
[
"numpy.mean"
]
] |
Dora-The-Kid/culture_network_0 | [
"ac3c3d2e0528f341fd50354300008c43df56e984"
] | [
"test_10_13.py"
] | [
"import matplotlib.pyplot as plt\nimport numpy as np\nfrom scipy import stats\nimport math\nimport pandas as pd\ndata_1 = np.array([260925,296296,299490])\ndata_2 = np.array([356846,338160,292290])\ndata = [\n [260925,296296,299490],\n [356846,338160,292290]\n]\ndata = np.array(data)\ndf = pd.DataFrame(data.T... | [
[
"numpy.array",
"matplotlib.pyplot.annotate",
"pandas.DataFrame",
"scipy.stats.ttest_ind",
"matplotlib.pyplot.title",
"matplotlib.pyplot.plot",
"scipy.stats.levene",
"matplotlib.pyplot.figure",
"numpy.ones",
"numpy.arange",
"matplotlib.pyplot.show"
]
] |
koukyo1994/pattern_recognition | [
"0bf835b98baa66cdb78aa46c677b8de91790a767"
] | [
"RL/openai/cartpole/util.py"
] | [
"import numpy as np\n\n\ndef discount_rewards(rewards, discount_rate):\n discounted_rewards = np.empty(len(rewards))\n cumulative_rewards = 0\n for step in reversed(range(len(rewards))):\n cumulative_rewards = rewards[step] + cumulative_rewards * discount_rate\n discounted_rewards[step] = cum... | [
[
"numpy.concatenate"
]
] |
U0M0Z/tgpipe | [
"436b8166858f80d59dfedc07769ea1f5b0278423"
] | [
"tgboost/predict.py"
] | [
"import typing as t\n\nimport numpy as np\nimport pandas as pd # type: ignore\n\nfrom tgboost import __version__ as _version\nfrom tgboost.config.core import config\nfrom tgboost.processing.data_manager import load_pipeline\nfrom tgboost.processing.smiles_manager import SmilesEmbedder, SmilesWrapper\nfrom tgboost.... | [
[
"pandas.DataFrame"
]
] |
juhi24/radcomp | [
"ccb727e4fa516ae708362ed1b05335de92f8c7fd",
"ccb727e4fa516ae708362ed1b05335de92f8c7fd"
] | [
"scripts/vertical/scr_store_pluvio.py",
"scripts/misc/scr_fix_rhi.py"
] | [
"# coding: utf-8\n\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport baecc.instruments.pluvio as pl\nfrom os import path\nfrom glob import glob\nfrom warnings import warn\nfrom datetime import datetime, timedelta\nfrom radcomp import CACHE_TMP_DIR\nfrom radcomp.vertical import case, classification, plot... | [
[
"pandas.concat",
"matplotlib.pyplot.close",
"pandas.read_hdf",
"pandas.Series",
"matplotlib.pyplot.ioff",
"pandas.read_csv"
],
[
"matplotlib.pyplot.subplots"
]
] |
gsalinaslopez/MagRSS | [
"615a6649572b044973f753d704d706d66ae12026"
] | [
"tf/nn/bpnn_2.py"
] | [
"from __future__ import absolute_import, division, print_function, unicode_literals\n\n# TensorFlow and tf.keras\nimport tensorflow as tf\nfrom tensorflow import keras\nfrom tensorflow import feature_column\nfrom tensorflow.keras import layers\nfrom sklearn.model_selection import train_test_split\n\n\n# Helper libr... | [
[
"tensorflow.keras.layers.DenseFeatures",
"tensorflow.keras.optimizers.schedules.InverseTimeDecay",
"sklearn.model_selection.train_test_split",
"pandas.read_csv",
"tensorflow.keras.optimizers.Adam",
"tensorflow.keras.callbacks.EarlyStopping"
]
] |
chiccheung/PRD_rPPG_method_3DCNN | [
"c2da5c523dc960644b444c14b1417a8ec86eba25"
] | [
"pyVHR/pyVHR/analysis/stats.py"
] | [
"import pandas as pd\nimport numpy as np\nimport os\nimport re \nimport matplotlib.pyplot as plt\nimport plotly.graph_objects as go\nimport scipy.stats as ss\nimport scikit_posthocs as sp\nfrom .stattests import friedman_aligned_ranks_test as ft\nimport Orange\n\nclass StatAnalysis():\n \"\"\" Statistics analysi... | [
[
"scipy.stats.iqr",
"numpy.divide",
"numpy.array",
"numpy.max",
"numpy.savetxt",
"numpy.argmin",
"numpy.median",
"matplotlib.pyplot.savefig",
"pandas.DataFrame",
"matplotlib.pyplot.title",
"numpy.mean",
"matplotlib.pyplot.figure",
"pandas.read_hdf",
"numpy.ar... |
mhauru/Gilt-TNR | [
"73c288d8f9a60d9cd7bdc2bda071ff536c7448cf"
] | [
"GiltTNR3D_envspec.py"
] | [
"import numpy as np\nimport sys\nimport os\nimport warnings\nimport logging\nimport logging.config\nimport configparser\nimport datetime\nimport GiltTNR3D\nfrom tntools import datadispenser, multilineformatter\nfrom tntools.yaml_config_parser import parse_argv\n\ntools_path = os.path.dirname(multilineformatter.__fi... | [
[
"numpy.set_printoptions"
]
] |
programmer1017/python | [
"3dce528be121ced032157c9d800b4770989889bf"
] | [
"matplotlib/legend/legend2.py"
] | [
"import matplotlib.pyplot as plt\n\nplt.plot([1, 2, 3, 4], [2, 3, 5, 10], label='Price ($)') # 그래프 1\nplt.plot([1, 2, 3, 4], [3, 5, 9, 7], label='Demand (#)') # 그래프 2\n\nplt.xlabel('X-Axis', labelpad = 10)\nplt.ylabel('Y-Axis')\n\n# plt.legend(loc='best',ncol = 1)\nplt.legend(loc='best', ncol = 2, fontsize = 10, fr... | [
[
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.show"
]
] |
tangchunbo/machine-learning | [
"22f289d30d456d5d220bb34d846a61d6fa0fe81e"
] | [
"ml/linearRegression/RegressionMetrics.py"
] | [
"import numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn import datasets\nfrom SimpleLinearRegression1 import SimpleLinearRegression2\nfrom model_selection import train_test_split\nfrom math import sqrt\n# scikit-learn 中的指标\nfrom sklearn.metrics import mean_squared_error, mean_absolute_error\n\n# boston 房... | [
[
"sklearn.metrics.mean_squared_error",
"numpy.sum",
"sklearn.metrics.mean_absolute_error",
"matplotlib.pyplot.show",
"numpy.absolute",
"matplotlib.pyplot.scatter",
"sklearn.datasets.load_boston"
]
] |
erezposner/pytorch-CycleGAN-and-pix2pix | [
"842873a541dbc945f050515a3f39bc9029cf7701"
] | [
"models/separated_cg_model.py"
] | [
"import torch\nfrom pytorch3d.io import load_objs_as_meshes, save_obj\nfrom pytorch3d.renderer import MeshRenderer, MeshRasterizer, PointLights, TexturedSoftPhongShader, \\\n look_at_view_transform, OpenGLPerspectiveCameras, RasterizationSettings, BlendParams, DirectionalLights, Materials, \\\n SoftSilhouette... | [
[
"torch.nn.NLLLoss",
"torch.zeros",
"torch.cat",
"numpy.array",
"torch.arange",
"torch.nn.functional.interpolate",
"torch.no_grad",
"numpy.load",
"torch.nn.L1Loss",
"torch.sum",
"torch.tensor",
"torch.nn.BCELoss",
"matplotlib.pyplot.show",
"torch.log",
"t... |
farhadmfar/ace | [
"c4fe4d4d9328a18b5c1ddcc79218605251520bf2"
] | [
"src/prepare_vocab.py"
] | [
"\"\"\"\r\nPrepare vocabulary and initial word vectors.\r\n\"\"\"\r\nimport json\r\nimport pickle\r\nimport argparse\r\nimport numpy as np\r\nfrom collections import Counter\r\n\r\nfrom utils import helper, vocab, constant\r\n\r\ndef parse_args():\r\n parser = argparse.ArgumentParser(description='Prepare vocab f... | [
[
"numpy.save"
]
] |
materialvision/data-efficient-gans | [
"eb1b2287a13952f23d6611709953fadfc539e9ab"
] | [
"DiffAugment-stylegan2/project_images.py"
] | [
"import argparse\nimport os\nimport shutil\nimport numpy as np\n\nimport dnnlib\nimport dnnlib.tflib as tflib\nimport pretrained_networks\nimport projector\nimport dataset_tool\nfrom training import dataset\nfrom training import misc\n\n\ndef project_image(proj, src_file, dst_dir, tmp_dir, video=False):\n\n data... | [
[
"numpy.array",
"numpy.ceil"
]
] |
wen-zhi/hashing | [
"c7e6a54f870d4a49d2e40ce7c53e1b160acd478d"
] | [
"hashing/dataset.py"
] | [
"import numpy as np\n\n\ndef load_mnist_gist(root):\n \"\"\"load 512D GIST descriptor of MNIST and split it.\n\n query: 100 per class (total: 1000)\n train: 600 per class (total: 6000)\n database: 6900 (in average) per class (total: 69000)\n\n # Parameter... | [
[
"numpy.random.permutation",
"numpy.load",
"numpy.flatnonzero"
]
] |
asceenl/lasp | [
"7cc77b073a91eb7470b449604544d9f57faf32e9"
] | [
"test/benchmark.py"
] | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Jan 15 19:45:33 2018\n\n@author: anne\n\"\"\"\nfrom pycallgraph import PyCallGraph\nfrom pycallgraph.output import GraphvizOutput\n\nimport numpy as np\nfrom beamforming import Fft\n\nnfft=2**17\n\nprint('nfft:',nfft)\nnchannels = 50\nnumber_ru... | [
[
"numpy.linspace",
"numpy.fft.rfft",
"numpy.random.randn"
]
] |
duchesneaumathieu/loader | [
"4725a816588bc33827360aa94c108ec4e2b4649d"
] | [
"Classification/Mnist.py"
] | [
"import numpy as np\nimport pickle\nimport gzip\nimport os\n\nimport loader\nfrom loader.AbstractLoader import AbstractLoader\n\nclass Mnist(AbstractLoader):\n def __init__(self, name='Mnist', img=False, **kwargs):\n super(Mnist, self).__init__(name=name, **kwargs)\n \n self.path = os.path.j... | [
[
"numpy.random.seed",
"numpy.array"
]
] |
denimalpaca/great_expectations | [
"0f28f3c2b3cc6fae3bc5d257c6d4d13dbcf37df0"
] | [
"tests/test_utils.py"
] | [
"import logging\nimport os\nimport uuid\nfrom contextlib import contextmanager\nfrom pathlib import Path\nfrom typing import Generator, List, Union, cast\n\nimport numpy as np\nimport pandas as pd\nimport pytest\n\nlogger = logging.getLogger(__name__)\n\ntry:\n import sqlalchemy as sa\n from sqlalchemy.exc im... | [
[
"pandas.read_csv"
]
] |
jcdupuis-ulaval/gigul-pxrf-tools | [
"72bc7d6e29b89a2af43c6ecd006054c2fd509f43"
] | [
"proc/remove-background.py"
] | [
"# -*- coding: utf-8 -*-\r\n\"\"\"\r\nCreated on Tue Apr 7 13:44:00 2020\r\n\r\n@author: chdup58\r\n\"\"\"\r\n\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nimport gigul_pxrf_tools as gigul\r\n\r\n# File setup for data and results################################\r\nfname ='TDCAEXD332727z'\r\nddir = '... | [
[
"numpy.sum",
"numpy.genfromtxt"
]
] |
CARMinesDouai/MutiRobotExplorationPackages | [
"725f36eaa22adb33be7f5961db1a0f8e50fdadbd"
] | [
"noisy_odometry/scripts/view_distribution.py"
] | [
"from math import *\nimport numpy as np\nimport matplotlib\nimport matplotlib.pyplot as plt\n# 20cm translation distance\ndx=0.2\ndy=0.35\ntrans = sqrt(dx*dx + dy*dy)\n# rotation1 = 30 degree\ntheta1 = 30.0*pi/180.0\n# rotation2 = 45 degree\ntheta2 = 10.0*pi/180.0\n\nrot1 = atan2(dy, dx) - theta1\nrot2 = theta2-the... | [
[
"matplotlib.pyplot.show",
"numpy.random.normal",
"matplotlib.pyplot.subplots"
]
] |
MikeDepies/NeatKotlin | [
"5059f9c5754a159ad49997c70a466ffa9840e10b"
] | [
"mario/NeatNetwork.py"
] | [
"from collections import defaultdict\n\nimport json\nimport math\nimport enum\nfrom time import sleep\nimport networkx as nx\nimport numpy as np\nfrom typing import Dict, List, Set, Tuple\nfrom networkx.algorithms.dag import descendants\nfrom numpy import ndarray, vectorize\n\n\ndef sigmoidal(x: float):\n # prin... | [
[
"numpy.vectorize",
"numpy.zeros"
]
] |
sarvai/proposals | [
"578c0094db52594cd85acb843df82fe3c19db46d"
] | [
"codes/deeplearning/data/datasets/coco_dataset.py"
] | [
"import numpy as np\nfrom .dataset import dataset\nfrom ..image import coco_image\n\nclass coco_dataset( dataset ):\n def __init__( self, cfg, cls, part, img_type=coco_image ):\n super().__init__( cfg, img_type )\n\n self._dset_tag = 'coco_%s_%s' % ( cls, part )\n\n c = cls[:2]\n if p... | [
[
"numpy.where"
]
] |
veritaem/RL_udemy | [
"f817be686b85406fbddd961441c4970bf8b05045"
] | [
"DDPGHelpers.py"
] | [
"import numpy as np\r\n\r\nclass OUActionNoise():\r\n def __init__(self, mu, sigma=.15, theta=.2, dt=1e-2, x0=None):\r\n self.theta = theta\r\n self.mu = mu\r\n self.sigma = sigma\r\n self.dt = dt\r\n self.x0=x0\r\n self.reset()\r\n\r\n def __call__(self):\r\n ... | [
[
"numpy.random.normal",
"numpy.random.choice",
"numpy.zeros",
"numpy.zeroes",
"numpy.sqrt"
]
] |
YouthJourney/Deep-Learning-For-Image-Process | [
"2d5f273baa73882f6ec61e13cc4ffca32b228657"
] | [
"Pytorch_Classification/Pytorch_VGG/predict.py"
] | [
"# -*- coding: UTF-8 -*-\r\n\"\"\"\r\nAuthor: LGD\r\nFileName: predict\r\nDateTime: 2021/1/26 15:36 \r\nSoftWare: PyCharm\r\n\"\"\"\r\nimport torch\r\nfrom Pytorch_VGG.model import vgg\r\nfrom torchvision import transforms\r\nimport matplotlib.pyplot as plt\r\nimport json\r\nfrom PIL import Image\r\n\r\ndata_transf... | [
[
"torch.no_grad",
"torch.softmax",
"torch.unsqueeze",
"torch.load",
"matplotlib.pyplot.show",
"torch.argmax",
"matplotlib.pyplot.imshow"
]
] |
adriaanph/katdal | [
"a3d01a08c5e74b6143caef02e499f2073056acd7"
] | [
"katdal/ms_extra.py"
] | [
"################################################################################\n# Copyright (c) 2011-2019, National Research Foundation (Square Kilometre Array)\n#\n# Licensed under the BSD 3-Clause License (the \"License\"); you may not use\n# this file except in compliance with the License. You may obtain a co... | [
[
"numpy.full",
"numpy.zeros_like",
"numpy.ones_like",
"numpy.array",
"numpy.asarray",
"numpy.zeros",
"numpy.product",
"numpy.ones",
"numpy.tile",
"numpy.eye",
"numpy.float64",
"numpy.iscomplexobj",
"numpy.arange",
"numpy.atleast_1d",
"numpy.repeat",
"... |
Kh4L/gluon-cv | [
"849411ed56632cd854850b07142087d599f97dcb"
] | [
"gluoncv/model_zoo/center_net/deconv_dla.py"
] | [
"\"\"\"DLA network with Deconvolution layers for CenterNet object detection.\"\"\"\n# pylint: disable=arguments-differ,unused-argument\nfrom __future__ import absolute_import\n\nimport warnings\n\nimport numpy as np\nfrom mxnet.context import cpu\nfrom mxnet.gluon import nn\nfrom mxnet.gluon import contrib\nfrom . ... | [
[
"numpy.array",
"numpy.log2"
]
] |
abaisero/rl-psr | [
"ac3d1162f6629133b7f3f88a0d49e4f9fd6f2e69"
] | [
"rl_rpsr/value_function.py"
] | [
"from __future__ import annotations\n\nfrom dataclasses import dataclass\nfrom typing import Iterable, List\n\nimport numpy as np\nimport yaml\n\n\n@dataclass\nclass Alpha(yaml.YAMLObject):\n yaml_tag = u'!Alpha'\n\n action: int\n vector: np.ndarray\n\n\nclass ValueFunction(yaml.YAMLObject):\n yaml_tag ... | [
[
"numpy.column_stack"
]
] |
hamogu/specutils | [
"b873f2ac9b3c207c9e670246d102f46a9606d6ed"
] | [
"specutils/tests/test_slicing.py"
] | [
"import astropy.units as u\nimport astropy.wcs as fitswcs\nimport numpy as np\nfrom numpy.testing import assert_allclose\n\nfrom ..spectra.spectrum1d import Spectrum1D\n\n\ndef test_spectral_axes():\n spec1 = Spectrum1D(spectral_axis=np.arange(1, 50) * u.nm,\n flux=np.random.sample(49) * 10... | [
[
"numpy.array",
"numpy.random.sample",
"numpy.arange"
]
] |
AAbdul12/Data-engineering-nanodegree | [
"794c57a52f79ceeb4201e408c8bad10fa76a9896"
] | [
"2_dend_cloud_data_warehouses/infrastructure_as_code.py"
] | [
"import pandas as pd \nimport boto3\nimport json\n\nfrom botocore.exceptions import ClientError\nimport configparser\n\n\nconfig = configparser.ConfigParser()\nconfig.read_file(open('/home/f.silvestre/Documents/Projects/Data-engineering-nanodegree/2_dend_cloud_data_warehouses/dhw.cfg'))\n\nKEY = ... | [
[
"pandas.DataFrame",
"pandas.set_option"
]
] |
marlesson/recsys-fair-metrics | [
"82c0a18486455718558fbd783e0bd3bf14d8bc67"
] | [
"recsys_fair_metrics/fairness/disparate_treatment.py"
] | [
"import pandas as pd\nimport numpy as np\n\nnp.seterr(divide=\"ignore\", invalid=\"ignore\")\nfrom typing import List, Dict, Any\nfrom sklearn.metrics import confusion_matrix\nfrom scipy.stats import norm\nfrom recsys_fair_metrics.util.util import mean_confidence_interval\nimport plotly.figure_factory as ff\nimport... | [
[
"numpy.max",
"numpy.seterr",
"numpy.arange",
"numpy.sort",
"scipy.stats.ks_2samp",
"numpy.unique"
]
] |
Elysium-Pool/torrent-transfer-logger | [
"4d9dc2f3197db5727eada9a07d26b9f5c0834a26"
] | [
"log_transfers.py"
] | [
"#!/usr/bin/env python3\n\n# When run, this script logs the peers for each torrent in qBittorrent to a sqlite database. It is useful for performing analytics on download progress and total number of downloads of other peers for torrents you are seeding/downloading.\n# Run this script in a cronjob or similar minutel... | [
[
"pandas.DataFrame"
]
] |
mikessut/pandas | [
"4aa0783d65dc20dc450ef3f58defda14ebab5f6f"
] | [
"pandas/io/excel/_base.py"
] | [
"import abc\nimport datetime\nfrom io import BufferedIOBase, BytesIO, RawIOBase\nimport os\nfrom textwrap import fill\nfrom typing import Any, Mapping, Union\n\nfrom pandas._config import config\n\nfrom pandas._libs.parsers import STR_NA_VALUES\nfrom pandas._typing import StorageOptions\nfrom pandas.errors import E... | [
[
"pandas.io.excel._util.get_writer",
"pandas.io.common.IOArgs",
"pandas.io.parsers.TextParser",
"pandas.io.common.urlopen",
"pandas.io.common.validate_header_arg",
"pandas.io.excel._util.maybe_convert_usecols",
"pandas.util._decorators.deprecate_nonkeyword_arguments",
"pandas.core.d... |
intheon/stream_viewer | [
"386b9e27d5cd7e66eece0dc2e4977e917ef94877"
] | [
"stream_viewer/applications/minimal_markers.py"
] | [
"# Copyright (C) 2014-2021 Syntrogi Inc dba Intheon. All rights reserved.\n\n\"\"\"\nThis script is a minimal example of a basic marker presentation application.\nIt's so minimal that it doesn't even use any stream_viewer modules!\nThis example displays markers in a text window.\nThe markers can come from a provid... | [
[
"numpy.array",
"numpy.random.rand"
]
] |
Minsoo2022/DeepHuman | [
"46ca0916d4531cf111c3a0d334d73d59773f0474"
] | [
"TrainingDataPreparation/ObjIO.py"
] | [
"from __future__ import print_function, absolute_import, division\nimport numpy as np\n\n\ndef load_obj_data(filename):\n \"\"\"load model data from .obj file\"\"\"\n v_list = [] # vertex coordinate\n vt_list = [] # vertex texture coordinate\n vc_list = [] # vertex color\n vn_list = [] # vertex n... | [
[
"numpy.copy",
"numpy.asarray"
]
] |
MishaRubanov/SchulmanLab | [
"edb9249e5cee75211a2b8da2e0d57ae5287f9131"
] | [
"GeneletModel-Python/supp_figure36_IFFL1_2_leak.py"
] | [
"import numpy as np \r\nimport matplotlib.pyplot as plt\r\nimport GeneralGeneletModel as GGM\r\n\r\n''' \r\n###############################################################################\r\nSupplementary Figure 36\r\nThis simulates an extended IFFL where an upstream genelet produces the coactivator\r\nof the first... | [
[
"numpy.array",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.suptitle",
"matplotlib.pyplot.title",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.yticks",
"matplotlib.pyplot.figure",
"numpy.linspace",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.gca",
"matplotlib.pyplo... |
acumos/acumos-onnx-client | [
"8cc7f29b369e84268fb17c007127d12409685d8c"
] | [
"acumos-package/onnx4acumos/FilledClientSkeletonsExamples/Iris_Model_OnnxClient.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Tue May 26 10:55:11 2020\n\n@author: Bruno Lozach OrangeFrance/TGI/OLS/SOFT_LANNION\n\"\"\"\n# Some standard imports\nimport io\nimport os\nfrom sys import argv\nimport re\nimport requests\nimport numpy as np\n\n# acumos import\nfrom acumos.modeli... | [
[
"numpy.array"
]
] |
ekellbuch/ibllib | [
"6948f86c3f426cbebb39cc693f612d25079d7ef2"
] | [
"ibllib/io/extractors/training_audio.py"
] | [
"#!/usr/bin/env python\n# -*- coding:utf-8 -*-\nfrom pathlib import Path\nimport logging\n\nimport numpy as np\nfrom scipy import signal\nfrom scipy.io import wavfile\n\nfrom ibllib import dsp\nfrom ibllib.misc import log2session_static\nimport ibllib.io.raw_data_loaders as ioraw\nimport ibllib.io.extractors.traini... | [
[
"numpy.delete",
"scipy.io.wavfile.read",
"numpy.array",
"numpy.median",
"numpy.save",
"numpy.diff",
"numpy.float64",
"numpy.std",
"numpy.sqrt",
"scipy.signal.welch",
"numpy.log10",
"numpy.insert"
]
] |
schuetzepaul/allpix-squared | [
"737eba52fe13f56134c4e88a7928d1a5103dd40a"
] | [
"tools/root_analysis_macros/display_mc_hits.py"
] | [
"# Create Plots to visualize MC Data from Allpix Squared\n\n# ===TO DO== #\n# Create Batch processing for multiple detectors\n\n# ROOT imports\nimport ROOT\nfrom ROOT import TFile, gDirectory, gSystem, TClass\n\nimport os, sys\nimport argparse\nimport os.path as path\n\n# numpy\nimport numpy as np\nimport numpy.ma ... | [
[
"scipy.stats.norm.pdf",
"matplotlib.cm.jet._segmentdata.copy",
"numpy.max",
"matplotlib.pyplot.colorbar",
"scipy.stats.binned_statistic_2d",
"matplotlib.pyplot.yscale",
"scipy.stats.cauchy.pdf",
"matplotlib.use",
"matplotlib.pyplot.pcolormesh",
"matplotlib.pyplot.title",
... |
Seizzzz/DailyCodes | [
"9a617fb64ee27b9f254be161850e9c9a61747cb1"
] | [
"Course 202009/Python/Visualize/4.py"
] | [
"import numpy as np\nfrom matplotlib import pyplot as plt\n\nx = np.linspace(-5 * np.pi, 5 * np.pi, 500)\ny1 = 3 * np.cos(x)\ny2 = np.sin(4*x)\n\nfig, ax = plt.subplots()\nplt.style.use('classic')\n\nax.spines[\"right\"].set_visible(False)\nax.spines[\"top\"].set_visible(False)\nax.spines['bottom'].set_position(('d... | [
[
"numpy.sin",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.style.use",
"numpy.cos",
"matplotlib.pyplot.show",
"numpy.linspace"
]
] |
SAFedorov/bfieldtools | [
"7e64bc2033670f01d2b90df2210b60743731a948"
] | [
"bfieldtools/sphtools.py"
] | [
"\"\"\"\nFunctions for constructing real spherical harmonics (Ylms), their gradients\nand related magnetic field 'basis vectorfunctions'\n(Wlms for r**l components, Vlms for r**(-l) components).\n\nUses notations and definitions by Plattner and Simons (2014; https://arxiv.org/pdf/1306.3201.pdf)\nand the same normal... | [
[
"numpy.isinf",
"numpy.array",
"numpy.sin",
"numpy.meshgrid",
"numpy.reshape",
"numpy.zeros",
"numpy.sum",
"numpy.mean",
"numpy.transpose",
"numpy.arctan2",
"numpy.cos",
"numpy.sqrt",
"scipy.special.lpmn",
"numpy.moveaxis",
"numpy.linspace",
"numpy.ab... |
vrautela/treadmill | [
"05e47fa8acdf8bad7af78e737efb26ea6488de82"
] | [
"lib/python/treadmill/cli/scheduler/servers.py"
] | [
"\"\"\"Show servers report.\"\"\"\n\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\nfrom __future__ import unicode_literals\n\nimport click\nimport pandas as pd\n\nfrom treadmill import cli\nfrom treadmill.cli.scheduler import fetch_report, print_re... | [
[
"pandas.to_datetime"
]
] |
OMcBrien/imsu | [
"5a060f304a4308d55d7d8c4fc6d3f52e17487e48"
] | [
"imsu/population_generator.py"
] | [
"import sncosmo\nimport random\nimport math\nimport numpy as np\nimport matplotlib\nimport matplotlib.pyplot as plt\nimport matplotlib.path as mpltPath\nimport time\n\n## LAST MODIFIED : April 15, 2013\n## CREATED : April 15, 2013\n## AUTHOR : DRYX\ndef redshift2distance(z):\n \"\"\"Convert a redshift to various... | [
[
"matplotlib.path.Path",
"numpy.array",
"numpy.sin",
"matplotlib.pyplot.figure",
"numpy.arange",
"numpy.cos",
"numpy.append",
"matplotlib.pyplot.show",
"numpy.linspace",
"matplotlib.pyplot.subplot"
]
] |
bjodah/symvarsub | [
"aebbd3aabdc9f8c345c5892f5d3a0beebbbf906d"
] | [
"symvarsub/numtransform/numtransform.py"
] | [
"# -*- coding: utf-8 -*-\n\n\"\"\"\nLightning fast binary callbacks using F90 for array expressions\n\"\"\"\n\nimport os\nimport sysconfig\nfrom collections import defaultdict\n\nimport sympy\nfrom sympy.core.compatibility import iterable\nimport numpy as np\nfrom pycompilation import import_module_from_file, FileN... | [
[
"numpy.array"
]
] |
az85252/DataProfiler | [
"1303abe04b48fa87c67d8d9b3a13f8cb88e79afb"
] | [
"dataprofiler/tests/labelers/test_integration_struct_data_labeler.py"
] | [
"import os\nimport unittest\n\nimport numpy as np\nimport pandas as pd\n\nimport dataprofiler as dp\n\n\nclass TestStructuredDataLabeler(unittest.TestCase):\n\n @classmethod\n def setUpClass(cls) -> None:\n num_repeat_data = 50\n cls.data = np.array(\n [['123 Fake St.', '1/2/2020', 'n... | [
[
"pandas.DataFrame",
"numpy.array"
]
] |
natethinks/cherry | [
"a482621a3e397f6667f21e16d5ec0eb12c7fc4fb"
] | [
"cherry/performance.py"
] | [
"# -*- coding: utf-8 -*-\n\n\"\"\"\ncherry.performance\n~~~~~~~~~~~~\nThis module implements the cherry performance.\n:copyright: (c) 2018-2019 by Windson Yang\n:license: MIT License, see LICENSE for more details.\n\"\"\"\n\nimport numpy as np\nfrom sklearn.model_selection import KFold\nfrom sklearn.pipeline import... | [
[
"sklearn.metrics.classification_report",
"sklearn.pipeline.Pipeline",
"sklearn.model_selection.KFold"
]
] |
akhan118/Self-learing-quant | [
"81d5fc5af510e8d878b33a4c3c1e923b73092d26"
] | [
"openGYM.py"
] | [
"import gym ,sys,numpy as np\nimport numpy as np\nnp.random.seed(1335) # for reproducibility\nnp.set_printoptions(precision=5, suppress=True, linewidth=150)\n\nimport pandas as pd\nimport backtest as twp\nfrom matplotlib import pyplot as plt\nfrom sklearn import metrics, preprocessing\nfrom talib.abstract import *... | [
[
"numpy.random.seed",
"numpy.set_printoptions",
"numpy.array",
"sklearn.preprocessing.StandardScaler"
]
] |
yghlc/CSF | [
"d42ac9784a7326bc3d0ecbd5931e1f8326198352"
] | [
"install-python-demo/demo_tif.py"
] | [
"#!/usr/bin/env python\n# Filename: demo_tif.py \n\"\"\"\nintroduction: run a demo: applying CSF to digital surface model in GeoTiff.\n\nauthors: Huang Lingcao\nemail:huanglingcao@gmail.com\nadd time: 22 February, 2022\n\"\"\"\n\nimport os,sys\n# deeplabforRS = os.path.expanduser('~/codes/PycharmProjects/Deeplabfo... | [
[
"numpy.vstack"
]
] |
LoicDagnas/models | [
"9cd7a576be6e80d13c2bc613ddd4004b05e95f27"
] | [
"official/vision/beta/projects/yolo/tasks/yolo.py"
] | [
"# Copyright 2021 The TensorFlow Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requ... | [
[
"tensorflow.shape",
"tensorflow.train.latest_checkpoint",
"tensorflow.GradientTape",
"tensorflow.expand_dims",
"tensorflow.io.gfile.isdir",
"tensorflow.cast",
"tensorflow.keras.layers.InputSpec",
"tensorflow.keras.regularizers.l2",
"tensorflow.tile",
"tensorflow.train.Check... |
rikichou/mmpose | [
"d1d23325f6d17d2888b45a34e1d8c1e18c878d1f"
] | [
"mmpose/models/backbones/resnet_tiny.py"
] | [
"import torch.nn as nn\nfrom mmcv.cnn import build_conv_layer, build_norm_layer\n\nfrom ..builder import BACKBONES\nfrom .resnet import ResNet,ResNetSimple\n\n@BACKBONES.register_module()\nclass ResNet_Tiny(ResNetSimple):\n \"\"\"ResNet backbone for CIFAR.\n\n Compared to standard ResNet, it uses `kernel_size... | [
[
"torch.nn.ReLU"
]
] |
comp-neural-circuits/tctx | [
"4fcd1a195a64015e777e55f582e8df35c4913993"
] | [
"tctx/networks/base.py"
] | [
"\"\"\"\n Code to support the creation of network instances.\n\"\"\"\nimport logging\n\nfrom tctx.util import sim_nest\nimport nest\nimport numpy as np\nimport pandas as pd\n\nfrom tctx.util.profiling import log_time\nimport tctx.util.networks\n\n\nclass NetworkInstance(tctx.util.networks.NetworkInstance):\n ... | [
[
"numpy.concatenate",
"numpy.max",
"numpy.count_nonzero",
"numpy.zeros",
"numpy.round",
"numpy.ones",
"numpy.min",
"numpy.abs",
"pandas.concat",
"pandas.Series"
]
] |
Mirotivo/biovid | [
"4cc4b1d2afd3f37224c74fe982d67aee99b81dc0"
] | [
"DataPreparation/2.B ECG Filter.py"
] | [
"##################Signal Characteristics###########################\nimport pandas as pd\nSignals = pd.read_csv('Signals/071309_w_21-BL1-081_bio.csv',sep = \t'\t').iloc[:,:].values\nSignals_Filtered = pd.read_csv('Signals/071309_w_21-BL1-081_bio.csv',sep = \t'\t').iloc[:,:].values\n\n\nN = len(Signals[:,0]) ... | [
[
"scipy.signal.lfilter",
"pandas.read_csv",
"numpy.sqrt",
"matplotlib.pyplot.gca",
"matplotlib.pyplot.subplots_adjust",
"matplotlib.pyplot.subplot",
"matplotlib.pyplot.title",
"matplotlib.ticker.FormatStrFormatter",
"scipy.signal.freqz",
"matplotlib.pyplot.show",
"matplo... |
kahnchana/Vesses | [
"beb7c64ce0d4ac943193fcef0c79b97eef7b362d"
] | [
"recognition/label_image.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\" \nCreated on Thu Feb 1 22:06:48 2018\n\n@author: kanchana\n\"\"\"\n\nimport os, sys\nimport tensorflow as tf\n\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'\n\n# change this as you see fit\nimage_path = sys.argv[1]\n\n# Read in the image_data\nimage_data = tf.gf... | [
[
"tensorflow.GraphDef",
"tensorflow.Session",
"tensorflow.import_graph_def",
"tensorflow.gfile.GFile",
"tensorflow.gfile.FastGFile"
]
] |
ChristosChristofidis/h2o-3 | [
"2a926c0950a98eff5a4c06aeaf0373e17176ecd8"
] | [
"h2o-py/tests/testdir_algos/glm/pyunit_wide_dataset_largeGLM.py"
] | [
"import sys\nsys.path.insert(1, \"../../../\")\nimport h2o\nimport numpy as np\n\ndef wide_dataset_large(ip,port):\n # Connect to h2o\n h2o.init(ip,port)\n\n print(\"Reading in Arcene training data for binomial modeling.\")\n trainDataResponse = np.genfromtxt(h2o.locate(\"smalldata/arcene/arcene_train_l... | [
[
"numpy.where",
"numpy.column_stack"
]
] |
machinelearning147/decision-forests | [
"e2e2c3f8f1c270a23ac97a6833f84a28ec99c51e"
] | [
"tensorflow_decision_forests/keras/keras_test.py"
] | [
"# Copyright 2021 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... | [
[
"tensorflow.TensorSpec",
"tensorflow.data.TFRecordDataset",
"tensorflow.data.Dataset.from_tensor_slices",
"numpy.minimum",
"pandas.DataFrame",
"tensorflow.feature_column.categorical_column_with_vocabulary_list",
"tensorflow.io.FixedLenFeature",
"tensorflow.feature_column.indicator_... |
dattasiddhartha/GIFShop-Wizard | [
"a3e9ba198b3bdc6645e53e0d652430534c362442"
] | [
"vision/foreground_removal/image_inpainting.py"
] | [
"import tensorflow as tf\nphysical_devices = tf.config.experimental.list_physical_devices('GPU')\ntf.config.experimental.set_memory_growth(physical_devices[0], True)\nfrom absl import flags, app\nfrom absl.flags import FLAGS\nfrom vision.foreground_removal.pix2pix.utils.model import Pix2Pix\nfrom vision.foreground_... | [
[
"tensorflow.config.experimental.list_physical_devices",
"tensorflow.config.experimental.set_memory_growth"
]
] |
jedludlow/tolerance_interval_py | [
"cf3ecd1e2f9b870de3e71bc92e07e6394510c001"
] | [
"tests/test_oneside_nonparmetric.py"
] | [
"# -- coding: utf-8 --\nimport numpy as np\nfrom toleranceinterval.oneside import non_parametric\nimport unittest\n\n\nclass TestEverything(unittest.TestCase):\n\n # Tabuluar values from Table J11 from:\n # Meeker, W.Q., Hahn, G.J. and Escobar, L.A., 2017. Statistical intervals:\n # A guide for practitione... | [
[
"numpy.array",
"numpy.isnan",
"numpy.random.seed",
"numpy.arange",
"numpy.random.random"
]
] |
dprada/OpenPharmacophore | [
"bfcf4bdafd586b27a48fd5d1f13614707b5e55a8"
] | [
"openpharmacophore/utils/direction_vector.py"
] | [
"import numpy as np\n\ndef donor_acceptor_direction_vector(molecule, feat_type, atom_indx, coords, conformer_idx):\n \"\"\"\n Compute the direction vector for an H bond donor or H bond acceptor feature \n\n Parameters\n ----------\n molecule : rdkit.Chem.rdchem.Mol\n Mo... | [
[
"numpy.cross",
"numpy.zeros"
]
] |
HinanawiTS/ECE-143-Project | [
"b23c85d4815943b284a4275f10f0a73f77d1c038"
] | [
"src/logistic_plus.py"
] | [
"import matplotlib\nimport pandas as pd\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.preprocessing import PolynomialFeatures\nfrom sklearn.pipeline import Pipeline\nfrom PlotPitch import draw_pitch\n#from sklearn.pipel... | [
[
"matplotlib.pyplot.colorbar",
"numpy.arccos",
"matplotlib.pyplot.contourf",
"matplotlib.pyplot.contour",
"pandas.qcut",
"sklearn.preprocessing.PolynomialFeatures",
"matplotlib.pyplot.title",
"matplotlib.pyplot.subplots",
"numpy.exp",
"sklearn.linear_model.LogisticRegression... |
samrobbins85/SM-AI_Search-Coursework | [
"4f7954b0c5c009ffb034037e0ea11429514d92ae"
] | [
"AlgBbasic.py"
] | [
"import os\nimport sys\nimport time\nimport random\nimport numpy as np\nimport collections\n\n\ndef read_file_into_string(input_file, from_ord, to_ord):\n # take a file \"input_file\", read it character by character, strip away all unwanted\n # characters with ord < \"from_ord\" and ord > \"to_ord\" and retur... | [
[
"numpy.full",
"numpy.array",
"numpy.asarray",
"numpy.fill_diagonal",
"numpy.argmin",
"numpy.amin"
]
] |
cjhillbrand/PyTradingBot | [
"aceb971c9630b2e3c8a68d912215ecc9e169b32d"
] | [
"LinReg.py"
] | [
"import pandas as pd\nimport numpy as np\n\nCEIL_PRICE = 40\nFLOOR_PRICE = 5\nSAMPLES = 500\nRANDOM_STATE = 42\nEPOCHS = 10\n\ndf = pd.read_csv('./data/russell_2000.csv')\nof_interest = df[(df['Price'] <= CEIL_PRICE) & (df['Price'] > FLOOR_PRICE)]\nof_interest = of_interest.sample(n=SAMPLES, random_state=RANDOM_STA... | [
[
"pandas.DataFrame",
"pandas.read_csv",
"pandas.merge",
"numpy.random.random"
]
] |
ocordeiro/pmdarima | [
"d0dadb42b631156367a8af71786d58d22c08ca4c"
] | [
"setup.py"
] | [
"# -*- coding: utf-8 -*-\n#\n# Author: Taylor Smith <taylor.smith@alkaline-ml.com>\n#\n# Setup the pmdarima module. This is heavily adapted from the scikit-learn\n# setup.py, since they have a similar package structure and build similar\n# Cython + C modules.\n\nimport sys\nimport os\nimport platform\nimport shutil... | [
[
"numpy.distutils.command.build_ext.build_ext.build_extensions",
"numpy.distutils.misc_util.Configuration"
]
] |
NREL/AEflow | [
"38d9e333f35bf0094993b96cd74391dad416245c"
] | [
"AEflow.py"
] | [
"import tensorflow as tf\nimport numpy as np\n\nclass AEflow:\n def __init__(self, x, status='full', reuse=False):\n '''\n Inputs:\n x: Input to the network. Depends on the given status\n Status: Which mode to run the model in\n Options:\n 'full': Input... | [
[
"tensorflow.nn.conv3d",
"tensorflow.shape",
"tensorflow.nn.leaky_relu",
"tensorflow.nn.relu",
"tensorflow.contrib.layers.xavier_initializer",
"tensorflow.nn.conv3d_transpose",
"tensorflow.variable_scope",
"tensorflow.add",
"tensorflow.reduce_mean",
"tensorflow.get_collectio... |
Rachit201/narknet | [
"87d7f7387f10a92c1df1daa5d5a8a366064a86c1"
] | [
"classify/video.py"
] | [
"#imports\n\nimport cv2\nimport numpy as np\nimport time\nimport sys\n\n#Load Yolo\nprint(\"Loading Model.....\")\nnet = cv2.dnn.readNet('../weights/yolov3.weights','../cfg/yolov3.cfg')\nclasses = []\n\nwith open('../dataset/coco.names','r') as f:\n\tclasses = [line.strip() for line in f.readlines()]\n\nlayer_names... | [
[
"numpy.argmax"
]
] |
ShigekiKarita/tfd | [
"1ecd2b7306ee6e41f1805787b398da3bab816dd5"
] | [
"example/graph_import/graph_import.py"
] | [
"import tensorflow.compat.v1 as tf\n\nwith tf.Session() as sess:\n with open(\"add-d.bin\", \"rb\") as f:\n graph_def = tf.GraphDef()\n graph_def.ParseFromString(f.read())\n\n tf.import_graph_def(graph_def)\n graph = tf.get_default_graph()\n for op in graph.get_operations():\n print(op.name)\n\n a = g... | [
[
"tensorflow.compat.v1.Session",
"tensorflow.compat.v1.get_default_graph",
"tensorflow.compat.v1.import_graph_def",
"tensorflow.compat.v1.GraphDef"
]
] |
AvinoamCo/AvinoamSlime | [
"d53bc125b727c02df6c16eaa725987ee210eaa22"
] | [
"lib/BasicSlime.py"
] | [
"import numpy as np\n\n\nclass BasicSlime(object):\n \"\"\"\n This is the basic slime class.\n It includes the most basic features of slime\n \"\"\"\n\n def __init__(self, can_cyber=True):\n self.can_cyber = can_cyber\n self.is_cyber_unlocked = False\n\n def do(self, activity):\n ... | [
[
"numpy.deg2rad",
"numpy.sin",
"numpy.tan",
"numpy.cos"
]
] |
jwrr/python-stuff | [
"7be2a408b751fe6636537d478296350256e2f133"
] | [
"raw-img/raw-patgen.py"
] | [
"#!/usr/bin/env python3\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport sys\n\n\ndef get_args(required_num):\n scriptname = sys.argv[0]\n num_args = len(sys.argv) - 1\n if num_args < required_num:\n print(\"Example: {} width height bitwidth\".format(scriptname))\n sys.exit(1)\n return sy... | [
[
"numpy.empty",
"numpy.zeros",
"matplotlib.pyplot.subplots",
"numpy.arange",
"numpy.fromfile",
"matplotlib.pyplot.show",
"numpy.linspace",
"numpy.vstack"
]
] |
RafayAK/light-weight-refinenet | [
"18670c4177b91d53462b9dc30b78078b45d901ca"
] | [
"custom_aug.py"
] | [
"from abc import ABC\n\nimport matplotlib.pyplot as plt\nfrom PIL import Image\nimport numpy as np\nimport os\nimport random\nimport cv2\nimport albumentations as A\nfrom typing import Sequence, Dict, List, Callable, Any, Tuple\n\n\ndef change_background(img, msk, bg_path):\n # convert all values > 0 to 1 in the... | [
[
"numpy.array"
]
] |
hebinalee/DreamAI_2020 | [
"ec2d49bb3ec66626d6c6b1cc50a015aef5c1ac7f"
] | [
"audiodataset.py"
] | [
"###################################\n## LOAD AND PREPROCESS AUDIO DATA\n###################################\n\nimport os\nimport random\nimport torch\nimport torch.nn as nn\nfrom torch.utils.data import Dataset\nimport glob\nimport numpy as np\nfrom util import read_filepaths\nfrom PIL import Image\nimport torchau... | [
[
"numpy.concatenate",
"numpy.array",
"numpy.sum",
"torch.from_numpy",
"torch.tensor",
"sklearn.model_selection.train_test_split",
"numpy.unique"
]
] |
victorvg17/interpretable-reinforcement-learning-using-attention | [
"0f3ac27e10794ba5ea29eda27d83e4fb825eebf6"
] | [
"torchbeast/utils/conv_lstm.py"
] | [
"import torch\nimport torch.nn.functional as F\nfrom torch import nn\n\n\nclass ConvLSTMCell(nn.Module):\n def __init__(self, input_channels, hidden_channels, kernel_size):\n \"\"\"Initialize stateful ConvLSTM cell.\n\n Parameters\n ----------\n input_channels : ``int``\n N... | [
[
"torch.zeros",
"torch.tanh",
"torch.nn.Conv2d"
]
] |
SimonCarozza/autoclf | [
"025bdc324c0c9ae064e88f229c3282125d92d185"
] | [
"examples/ottog_knc_exp.py"
] | [
"from sklearn.model_selection import StratifiedKFold\nfrom sklearn.pipeline import Pipeline\nfrom sklearn.dummy import DummyClassifier\n\nfrom pandas import read_csv, DataFrame\nimport numpy as np\n\nimport os\nimport sys\nfrom autoclf import auto_utils as au\nfrom autoclf.classification import eval_utils as eu\nfr... | [
[
"numpy.random.seed",
"pandas.read_csv",
"sklearn.dummy.DummyClassifier",
"sklearn.model_selection.StratifiedKFold"
]
] |
yadupokhrel/Chaudhari_Amazon_Hydropower | [
"6ec80dca5cce607f7f4167d435b8af451c78a663"
] | [
"NatSus_Fig1.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\nimport numpy as np\nfrom pylab import *\nimport math\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport matplotlib.gridspec as gridspec\nfrom mpl_toolkits.basemap import Basemap\nfrom matplotlib.patches import Polygon\n\nr\"\"\"\n#%%--------------------... | [
[
"matplotlib.pyplot.subplot",
"matplotlib.pyplot.annotate",
"matplotlib.lines.Line2D",
"matplotlib.pyplot.gca",
"pandas.read_excel",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.figure",
"matplotlib.colors.BoundaryNorm",
"numpy.arange",
"matplotlib.colorbar.ColorbarBase",
... |
zhouai9070/QuanTangshi-AA- | [
"f598e459294ef6093781ebddb2df15a551566913"
] | [
"models/AttBiLSTM.py"
] | [
"# @Author : bamtercelboo\n# @Datetime : 2018/8/17 16:06\n# @File : BiLSTM.py\n# @Last Modify Time : 2018/8/17 16:06\n# @Contact : bamtercelboo@{gmail.com, 163.com}\n\n\"\"\"\n FILE : BiLSTM.py\n FUNCTION : None\n\"\"\"\n\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom torch.nn.ut... | [
[
"torch.nn.Linear",
"torch.nn.Dropout",
"torch.nn.LSTM",
"torch.manual_seed",
"torch.nn.utils.rnn.pad_packed_sequence",
"torch.nn.utils.rnn.pack_padded_sequence",
"torch.nn.Embedding"
]
] |
cameronraysmith/glow | [
"98acbed1d48ee487c24fcfec53d91f41143a6d7d"
] | [
"docs/source/conftest.py"
] | [
"# Copyright 2019 The Glow Authors\n# \n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n# \n# http://www.apache.org/licenses/LICENSE-2.0\n# \n# Unless required by applicable law or... | [
[
"pandas.testing.assert_series_equal"
]
] |
openoakland/lovely-rita | [
"35ec5a5fc27fcf4ee27078e05fb38f15723ddf9a"
] | [
"lovelyrita/data.py"
] | [
"from __future__ import print_function\nimport numpy as np\nimport pandas as pd\nfrom shapely.geometry import Point\nimport geopandas\nfrom lovelyrita.clean import clean as clean_data\nfrom lovelyrita.config import VALID_COLUMN_NAMES as valid_column_names\n\n\ndef read_data(paths, usecols=None, delimiter=',', clean... | [
[
"pandas.DataFrame",
"pandas.read_csv",
"pandas.concat"
]
] |
WaelAshraf/Image.TextScanner | [
"dbe8480209864d99a51b9f6d9d3d428da7ef4cd8"
] | [
"bank-check-ocr-2/bank_check_ocr.py"
] | [
"# USAGE\n# python bank_check_ocr.py --image example_check.png --reference micr_e13b_reference.png\n\n# import the necessary packages\nfrom skimage.segmentation import clear_border\nfrom imutils import contours\nimport imutils\nimport numpy as np\nimport argparse\nimport cv2\n\ndef extract_digits_and_symbols(image,... | [
[
"numpy.max",
"numpy.argmax",
"numpy.min",
"numpy.absolute"
]
] |
GAIA-DARPA-AIDA/face-building | [
"d1c574ceb6f48eb989ea077bec4b23267398f383"
] | [
"src/facenet.py"
] | [
"\"\"\"Functions for building the face recognition network.\n\"\"\"\n# MIT License\n# \n# Copyright (c) 2016 David Sandberg\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 withou... | [
[
"tensorflow.image.resize_with_crop_or_pad",
"numpy.arccos",
"numpy.random.choice",
"tensorflow.compat.v1.summary.histogram",
"tensorflow.image.random_flip_left_right",
"tensorflow.io.read_file",
"tensorflow.import_graph_def",
"tensorflow.train.get_checkpoint_state",
"tensorflow... |
shanemmattner/Dash_Multipage | [
"8b451ccfa0b28553b8162f0fbd127b68788519c0"
] | [
"db_database.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Wed Apr 21 13:41:45 2021\n\n@author: shane\n\"\"\"\n\nimport sqlite3\nimport os\nimport pandas as pd\nfrom datetime import datetime\n\n\nDEFAULT_PATH = os.path.join(os.path.dirname(__file__), 'database.sqlite3')\n\n#connect to sqlite database\ndef connect(db_path = DEFAU... | [
[
"pandas.read_sql_query"
]
] |
M3nin0/data_cube_utilities | [
"badd774c35babc5becc17e1a2b38a0d1782d3540"
] | [
"data_cube_utilities/xarray_bokeh_plotting.py"
] | [
"from bokeh.models.widgets import Panel, Tabs\nimport numpy as np\nimport importlib\nimport pandas as pd\nfrom bokeh.models import FuncTickFormatter\nfrom bokeh.io import push_notebook, show, output_notebook\nfrom bokeh.layouts import row\nfrom bokeh.plotting import figure\nfrom bokeh.models.sources import ColumnDa... | [
[
"pandas.isnull",
"pandas.DataFrame",
"pandas.concat"
]
] |
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