repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
smly/Landmark2019-1st-and-3rd-Place-Solution | [
"9839c9cbc6bec15e69e91d1d7c8be144531d5a33"
] | [
"src/FishNet/utils/profile.py"
] | [
"import torch\nfrom torch.autograd.variable import Variable\nimport numpy as np\n\n\nUSE_GPU = torch.cuda.is_available()\n\n\ndef calc_flops(model, input_size):\n global USE_GPU\n\n def conv_hook(self, input, output):\n batch_size, input_channels, input_height, input_width = input[0].size()\n ou... | [
[
"torch.rand",
"torch.cuda.is_available"
]
] |
l-tang/sui | [
"b5a5ecd744b836bb13d2ec1f2a52bc263eb2fbb4"
] | [
"sui/dl/pnn.py"
] | [
"\"\"\"Product-based Neural Networks\nhttps://arxiv.org/pdf/1611.00144.pdf\nDate: 14/Jul/2020\nAuthor: Li Tang\n\"\"\"\nimport tensorflow as tf\nfrom tensorflow.keras.layers import Activation, BatchNormalization, Dense, Dropout\n\nfrom .initializers import get_init\nfrom .losses import get_loss\nfrom .optimizers im... | [
[
"tensorflow.convert_to_tensor",
"tensorflow.concat",
"tensorflow.keras.layers.Activation",
"tensorflow.keras.layers.Embedding",
"tensorflow.keras.layers.Dense",
"tensorflow.data.Dataset.from_tensor_slices",
"tensorflow.einsum",
"tensorflow.keras.layers.BatchNormalization",
"ten... |
christiancosgrove/cs767hw4 | [
"4a3a1e2eeee448ab5b8eadfcf5d5becf7268630e"
] | [
"parlai/agents/transformer/polyencoder.py"
] | [
"#!/usr/bin/env python3\n# Copyright (c) Facebook, Inc. and its affiliates.\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\n\n# hack to make sure -m transformer/generator works as expected\n\"\"\"\nPoly-encoder Agent.\n\"\"\"\nfrom .bien... | [
[
"torch.nn.CrossEntropyLoss",
"torch.nn.init.uniform_",
"torch.nn.Parameter",
"torch.empty",
"torch.cat",
"torch.sum",
"torch.nn.init.normal_",
"torch.nn.DataParallel"
]
] |
aleozlx/rpi-ledstrip-audio | [
"ab42f4815534115b98ca74aafe18f3ac293d566d"
] | [
"main.py"
] | [
"# official sample\n# https://python-sounddevice.readthedocs.io/en/0.3.14/examples.html#real-time-text-mode-spectrogram\n\nimport argparse\nimport math\nimport shutil\nimport socket\nimport numpy as np\nimport sounddevice as sd\nfrom matplotlib import cm\n\nusage_line = ' press <enter> to quit, +<enter> or -<enter>... | [
[
"matplotlib.cm.plasma",
"numpy.fft.rfft",
"numpy.clip"
]
] |
AluminiumOxide/pytorch_base_-tutorial | [
"a6d3bea6070c7c774dcd7c55d94b0a1441548c8b"
] | [
"note5_3_nn_pool.py"
] | [
"import torch\r\nimport torchvision\r\nfrom torch import nn\r\nfrom torch.nn import MaxPool2d\r\nfrom torch.utils.data import DataLoader\r\nfrom torch.utils.tensorboard import SummaryWriter\r\n\r\ndataset = torchvision.datasets.CIFAR10(\"./CIFAR10\", train=False, download=True,transform=torchvision.transforms.ToTen... | [
[
"torch.nn.MaxPool2d",
"torch.utils.data.DataLoader",
"torch.utils.tensorboard.SummaryWriter"
]
] |
tbs-lab/pycodes | [
"2ab296d9ebde6efd5bcefb905721d319e866cd69"
] | [
"DirectMethods/solver.py"
] | [
"# -*- coding: utf-8 -*-\nimport numpy as np\nimport scipy.linalg as spla\n\nfrom util import genp_factorize, gepp_factorize\nfrom butterfly import build_recursive_butterfly\n\n\ndef forward(L, b):\n \"\"\"Return a solution x of a linear system Lx = b with forward\n substitution.\n\n Arguments:\n L ... | [
[
"numpy.dot",
"numpy.array",
"numpy.identity",
"scipy.linalg.solve_triangular"
]
] |
alan-cueva/wefe | [
"4c155c11c7836d05fb8d951f36ae1fc2d37c3655"
] | [
"wefe/metrics/RND.py"
] | [
"\"\"\"Relative Norm Distance (RND) metric implementation.\"\"\"\r\nfrom typing import Any, Callable, Dict, List, Tuple, Union\r\n\r\nimport numpy as np\r\nfrom sklearn.metrics.pairwise import cosine_similarity\r\nfrom wefe.metrics.base_metric import BaseMetric\r\nfrom wefe.preprocessing import get_embeddings_from_... | [
[
"numpy.average",
"numpy.subtract",
"sklearn.metrics.pairwise.cosine_similarity"
]
] |
gunjanpatil/keras_imagenet | [
"5bc50245d8061e634fda291f1d22a581ee329eb5"
] | [
"models/efficientnet.py"
] | [
"# Copyright 2019 The TensorFlow Authors, Pavel Yakubovskiy, Björn Barz. 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/license... | [
[
"tensorflow.keras.backend.backend",
"tensorflow.keras.layers.Conv2D",
"tensorflow.python.keras.backend.is_keras_tensor",
"tensorflow.keras.layers.DepthwiseConv2D",
"tensorflow.keras.backend.sigmoid",
"tensorflow.keras.backend.image_data_format",
"tensorflow.keras.models.Model",
"te... |
xingularity/yellowbrick | [
"d13065786b25323558c493222d39b67f6b5243d9"
] | [
"yellowbrick/utils/helpers.py"
] | [
"# yellowbrick.utils.helpers\n# Helper functions and generic utilities for use in Yellowbrick code.\n#\n# Author: Benjamin Bengfort <bbengfort@districtdatalabs.com>\n# Created: Fri May 19 10:39:30 2017 -0700\n#\n# Copyright (C) 2017 District Data Labs\n# For license information, see LICENSE.txt\n#\n# ID: helpers... | [
[
"numpy.log",
"numpy.true_divide",
"numpy.isfinite",
"numpy.asarray",
"numpy.arange",
"numpy.in1d",
"numpy.all",
"numpy.isscalar",
"numpy.errstate"
]
] |
KonduitAI/ImportTests | [
"1b05adac04d1b04fe4492d3fd35f3c4573774ceb"
] | [
"tests/OLD/mathops/test_partition_stitch_misc.py"
] | [
"import numpy as np\nimport tensorflow as tf\nfrom tfoptests.persistor import TensorFlowPersistor\nfrom tfoptests.test_graph import TestGraph\n\n'''\nNo training.\nTensor Transforms with rearranging values and some random ops\n'''\n\n\nclass TensorRearrange(TestGraph):\n def __init__(self, *args, **kwargs):\n ... | [
[
"tensorflow.transpose",
"tensorflow.count_nonzero",
"tensorflow.divide",
"tensorflow.div",
"tensorflow.dynamic_stitch",
"tensorflow.random_normal",
"numpy.random.uniform",
"tensorflow.trace"
]
] |
robolableonardo/franka_ros | [
"b9b60e8a8316593b6a82d3bfa48a5b89155f42a5"
] | [
"franka_example_controllers/scripts/interactive_marker.py"
] | [
"#!/usr/bin/env python\n\nimport rospy\nimport tf.transformations\nimport numpy as np\n\nfrom interactive_markers.interactive_marker_server import \\\n InteractiveMarkerServer, InteractiveMarkerFeedback\nfrom visualization_msgs.msg import InteractiveMarker, \\\n InteractiveMarkerControl\nfrom geometry_msgs.ms... | [
[
"numpy.reshape",
"numpy.linalg.norm"
]
] |
cdyfng/pyalgotrade | [
"c9e8d950c8d911d5f1bed7d821c4cf6fd37f3a3c"
] | [
"pyalgotrade/technical/linreg.py"
] | [
"# PyAlgoTrade\n#\n# Copyright 2011-2015 Gabriel Martin Becedillas Ruiz\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# Unle... | [
[
"numpy.asarray",
"scipy.stats.linregress"
]
] |
pzejdl/hls4ml | [
"d1e4b22d05a9d12dd23fb92280e35857fc8e9b69"
] | [
"hls4ml/model/hls_model.py"
] | [
"from __future__ import print_function\nimport six\nimport re\nimport numpy as np\nfrom enum import Enum\nfrom collections import OrderedDict\n\nfrom .templates import get_config_template, get_function_template\n\nclass HLSConfig(object):\n def __init__(self, config):\n self.config = config\n\n sel... | [
[
"numpy.log2",
"numpy.ones_like",
"numpy.nditer",
"numpy.min",
"numpy.transpose",
"numpy.max",
"numpy.log10",
"numpy.zeros_like",
"numpy.count_nonzero",
"numpy.prod",
"numpy.where"
]
] |
oitoku/goshichigo | [
"d9e323ee023838907faf9af58ab2056e16224bc9"
] | [
"scratch/haiku_maker.py"
] | [
"import numpy as np\nfrom nltk.corpus import cmudict\nfrom nltk.corpus import stopwords\nfrom nltk.tokenize import word_tokenize\nstopWords = set(stopwords.words('english'))\n\n\nd = cmudict.dict()\ndef nsyl(word):\n\t\"\"\"Count syllables, or -1 if not found\"\"\"\n\ttry:\n\t\treturn [len(list(y for y in x if y[-1... | [
[
"numpy.random.rand"
]
] |
lewisjared/scmdataframe | [
"d8893235b3d2898a21ef8cc45bb04d94c6b038fe"
] | [
"tests/integration/test_processing.py"
] | [
"import datetime as dt\nimport os.path\nimport re\n\nimport numpy as np\nimport pandas as pd\nimport pandas.testing as pdt\nimport pint.errors\nimport pytest\n\nimport scmdata.processing\nfrom scmdata import ScmRun\nfrom scmdata.errors import MissingRequiredColumnError, NonUniqueMetadataError\nfrom scmdata.testing ... | [
[
"pandas.MultiIndex.from_frame",
"pandas.testing.assert_series_equal",
"pandas.Series",
"pandas.isnull",
"pandas.DataFrame",
"numpy.round",
"pandas.testing.assert_frame_equal",
"pandas.MultiIndex.from_product",
"numpy.array"
]
] |
sys-bio/roadrunner | [
"f0a757771ef0e337ddf7409284910e1627c3ad71"
] | [
"rrplugins/examples/python/parameter_minimization/telChiSquareAsFunctionOfTwoParameters.py"
] | [
"#-------------------------------------------------------------------------------\n# Purpose: Example demonstrating how to calculate the ChiSquare, using the\n# ChiSquare plugin, as a function of a TWO model parameters.\n#\n# This example are using example data in the file TwoParameters.dat, which is\n# generated u... | [
[
"matplotlib.pyplot.clabel",
"numpy.linspace",
"matplotlib.pyplot.title",
"matplotlib.pyplot.contour",
"matplotlib.pyplot.xlabel",
"numpy.meshgrid",
"numpy.zeros",
"matplotlib.pyplot.show",
"matplotlib.pyplot.ylabel"
]
] |
353622088/tianchi | [
"e1f378e5fd783eb4cfbfaf8ecdd944b8fcfdd733"
] | [
"nets/inception_v4.py"
] | [
"# Copyright 2016 The TensorFlow Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required... | [
[
"tensorflow.variable_scope",
"tensorflow.nn.softmax",
"tensorflow.concat",
"tensorflow.reduce_mean"
]
] |
Tobby666/polars | [
"8cedd5edf4c1056a255c2fb29c3cb5d173068e32"
] | [
"py-polars/polars/internals/series.py"
] | [
"import sys\nfrom datetime import date, datetime, timedelta\nfrom numbers import Number\nfrom typing import (\n Any,\n Callable,\n Dict,\n List,\n Optional,\n Sequence,\n Tuple,\n Type,\n Union,\n overload,\n)\n\nimport numpy as np\n\ntry:\n import pyarrow as pa\n\n _PYARROW_AVAI... | [
[
"numpy.log",
"numpy.arctan",
"numpy.power",
"numpy.arcsin",
"numpy.ascontiguousarray",
"numpy.cos",
"numpy.arccos",
"numpy.sin",
"numpy.tan",
"numpy.argwhere",
"numpy.log10",
"numpy.array",
"numpy.exp"
]
] |
dumpmemory/deduplicate-text-datasets | [
"ad86c7f65ac626581fe3a4277106309bc6b50c23"
] | [
"scripts/make_suffix_array.py"
] | [
"# Copyright 2021 Google LLC\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 to ... | [
[
"numpy.log"
]
] |
WGW101/habitat_sim2real | [
"04be5215af53122f166d6dfdfb131af3619d10a0"
] | [
"test/test_habitat_lab_citi.py"
] | [
"#!/usr/bin/env python3\n\nimport habitat\nimport cv2\nimport quaternion\nimport numpy\n\ncfg = habitat.get_config(\"configs/locobot_pointnav_citi_sim.yaml\")\nsim_cls = habitat.registry.get_simulator(cfg.SIMULATOR.TYPE)\nsim = sim_cls(cfg.SIMULATOR)\n\nobs = sim.reset()\nwhile True:\n state = sim.get_agent_stat... | [
[
"numpy.rad2deg"
]
] |
AIRI-Institute/DeepCT | [
"8e23fda101bd4a2bce2c98c5a73d97072a3892de"
] | [
"src/deepct_model_multi_ct_q_mpi.py"
] | [
"\"\"\"\nDeepCT architecture without Sigmoid layer \nfor multiple cell type per position computation at once\nwith quantitative features (TODO: Add our names).\n\"\"\"\nimport os\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nfrom torch import mean\nfrom torch.nn import MSELoss\nfrom torch.utils.tensor... | [
[
"torch.nn.BatchNorm1d",
"torch.nn.Dropout",
"torch.cat",
"torch.eye",
"torch.nn.MaxPool1d",
"torch.nn.Linear",
"torch.no_grad",
"numpy.floor",
"torch.nn.Conv1d",
"torch.nn.ReLU"
]
] |
anthonyivol/muzero-general | [
"ddeb263d7ca1653122fbaec5ab54824215280b2a"
] | [
"games/spiel.py"
] | [
"import datetime\nimport os\n\nimport numpy\nimport torch\n\nfrom .abstract_game import AbstractGame\n\n\n# This is a Game wrapper for open_spiel games. It allows you to run any game in the open_spiel library.\n\ntry:\n import pyspiel\n\nexcept ImportError:\n import sys\n sys.exit(\"You need to install ope... | [
[
"torch.cuda.is_available"
]
] |
annahung31/REMI_PyTorch | [
"8ad15ff57f0a94633fc14b92ce533607c693569a"
] | [
"src/data.py"
] | [
"import os\r\nfrom collections import Counter\r\nfrom glob import glob\r\nimport numpy as np\r\nimport pickle\r\nimport utils\r\nfrom tqdm import tqdm\r\nimport string\r\nimport random\r\ndef extract_event(file_path):\r\n note_items, ticks_per_beat = utils.read_midi(file_path)\r\n note_items = utils.quantize_... | [
[
"numpy.load",
"numpy.array",
"numpy.save"
]
] |
trpreston5/EXtra-data | [
"ca3b59894ae5ea519725e2834ec818ad3b859922"
] | [
"extra_data/tests/test_stacking.py"
] | [
"import numpy as np\nimport pytest\n\nfrom extra_data import RunDirectory, stack_data, stack_detector_data\nfrom extra_data.stacking import StackView\n\ndef test_stack_data(mock_fxe_raw_run):\n test_run = RunDirectory(mock_fxe_raw_run)\n tid, data = test_run.train_from_id(10000, devices=[('*/DET/*', 'image.da... | [
[
"numpy.zeros"
]
] |
ahmad-sulehari/LabEngine | [
"9444dce96954c546333d5aecc92a06c3bfd19aa5"
] | [
"venv/Lib/site-packages/numpy/testing/_private/noseclasses.py"
] | [
"# These classes implement a doctest runner plugin for nose, a \"known failure\"\n# error class, and a customized TestProgram for NumPy.\n\n# Because this module imports nose directly, it should not\n# be used except by nosetester.py to avoid a general NumPy\n# dependency on nose.\nfrom __future__ import division, ... | [
[
"numpy.set_printoptions",
"numpy.core._multiarray_tests.get_fpu_mode",
"numpy.get_printoptions"
]
] |
wx-b/NerfingMVS | [
"8c8f96244146b929a1495caf2719c090b48ac082"
] | [
"utils/depth_priors_utils.py"
] | [
"import torch\n\ndef compute_depth_loss(depth_pred, depth_gt, mask_gt):\n loss_list = []\n for pred, gt, mask in zip(depth_pred, depth_gt, mask_gt):\n log_pred = torch.log(pred[mask])\n log_target = torch.log(gt[mask])\n alpha = (log_target - log_pred).sum()/mask.sum()\n log_diff =... | [
[
"torch.stack",
"torch.abs",
"torch.log"
]
] |
hoangtuanvu/rad_chestxray | [
"b29c2bf98ae41d85258b21674e8826847a0cc647"
] | [
"models/feature_extraction/inceptionresnetv2.py"
] | [
"from __future__ import print_function, division, absolute_import\nimport torch\nimport torch.nn as nn\nimport torch.utils.model_zoo as model_zoo\nfrom models.attention_map import BamBlock\n\n__all__ = ['InceptionResNetV2', 'inceptionresnetv2']\n\npretrained_settings = {\n 'inceptionresnetv2': {\n 'imagen... | [
[
"torch.cat",
"torch.nn.Conv2d",
"torch.nn.MaxPool2d",
"torch.nn.AvgPool2d",
"torch.nn.Linear",
"torch.nn.BatchNorm2d",
"torch.nn.ReLU",
"torch.utils.model_zoo.load_url"
]
] |
cokezrr/transformers | [
"794889f0aea28df30efe9d35358ed8cf335cc2f3"
] | [
"src/normalization/MPN.py"
] | [
"'''\n@file: MPNCOV.py\n@author: Jiangtao Xie\n@author: Peihua Li\nPlease cite the paper below if you use the code:\n\nPeihua Li, Jiangtao Xie, Qilong Wang and Zilin Gao. Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. IEEE Int. Conf. on Computer Vision a... | [
[
"torch.sqrt",
"torch.eye",
"torch.ones",
"torch.zeros"
]
] |
zhaox1n/spark | [
"1f150b9392706293946278dd35e8f5a5016ed6df"
] | [
"python/pyspark/pandas/indexes/numeric.py"
] | [
"#\n# 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\"); yo... | [
[
"pandas.api.types.is_hashable",
"pandas.Float64Index",
"pandas.Int64Index"
]
] |
KelSolaar/colour-science | [
"6c68f40544a0214614c4d01c2c3290e86406d9ad"
] | [
"colour/appearance/ciecam02.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCIECAM02 Colour Appearance Model\n================================\n\nDefines *CIECAM02* colour appearance model objects:\n\n- :class:`colour.appearance.InductionFactors_CIECAM02`\n- :attr:`colour.VIEWING_CONDITIONS_CIECAM02`\n- :class:`colour.CAM_Specification_CIECAM02`\n- ... | [
[
"numpy.radians",
"numpy.maximum",
"numpy.sqrt",
"numpy.abs",
"numpy.absolute",
"numpy.linalg.inv",
"numpy.isfinite",
"numpy.isnan",
"numpy.cos",
"numpy.sin",
"numpy.sign",
"numpy.arctan2",
"numpy.searchsorted",
"numpy.exp",
"numpy.array",
"numpy.wher... |
EricaXia/privacy | [
"a74561c929dfd01bc5f417ca42f8c7a100b349dc"
] | [
"tensorflow_privacy/privacy/analysis/privacy_ledger.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.compat.v1.Variable",
"tensorflow.compat.v1.equal",
"tensorflow.compat.v1.math.ceil",
"tensorflow.compat.v1.assign",
"tensorflow.compat.v1.nest.map_structure",
"tensorflow.compat.v1.control_dependencies",
"tensorflow.compat.v1.zeros",
"tensorflow.compat.v1.executing_eage... |
dnyaneshb25/dnyaneshbhonde | [
"f182448af374732e5b13c58fbcd62867310959ef"
] | [
"Code/YOLO/darkflow/darkflow/dark/layer.py"
] | [
"from ..utils import loader\nimport numpy as np\n\nclass Layer(object):\n\n def __init__(self, *args):\n self._signature = list(args)\n self.type = list(args)[0]\n self.number = list(args)[1]\n\n self.w = dict() # weights\n self.h = dict() # placeholders\n self.wshape = ... | [
[
"numpy.prod"
]
] |
ENSYSTRA/EU-SES | [
"174b61aa9b3e0ffdcb843fa3c16c47c0c1175afd"
] | [
"euses/model.py"
] | [
"import geopandas as gpd\nimport pandas as pd\nimport sys\nimport ruamel.yaml\nfrom geopy import distance\nyaml = ruamel.yaml.YAML()\nfrom . import parameters as pr\nimport os\n\nvre_dic = {'Wind':['onshore_wind',5],'Solar':['rooftop_pv',170],'Wind Offshore':['offshore_wind',5.36]}\n\ndc_links = pd.read_csv('data/l... | [
[
"pandas.read_csv",
"pandas.DataFrame"
]
] |
vatsalag99/mapping_self-harm_risk_twitter | [
"262c36f994c909714a738686b025633d832bc596"
] | [
"app/Data Processing .py"
] | [
"\n# coding: utf-8\n\n# In[1]:\n\n\nimport warnings\nwarnings.filterwarnings(\"ignore\")\nimport ftfy\nimport matplotlib.pyplot as plt\nimport nltk\nimport numpy as np\nimport pandas as pd\nimport re\nimport time\n\nfrom math import exp\nfrom numpy import sign\n\nfrom sklearn.metrics import classification_report, ... | [
[
"pandas.read_csv",
"numpy.zeros",
"numpy.nditer",
"pandas.DataFrame"
]
] |
cschupbach/tmdb | [
"8ccf72f8d2e83b5605eff81a06a12961819b40c7"
] | [
"src/data/processed/process.py"
] | [
"import pandas as pd\nimport ast\nfrom datetime import datetime as dt\nfrom utils import parse\nfrom utils import edit_tools as tools\nfrom utils import networks\nfrom utils import finalize\n\n\ndef process_series_data():\n df = pd.read_csv('../../../data/raw/series.csv')\n df['network_id'] = parse.dict_colum... | [
[
"pandas.read_csv",
"pandas.to_datetime"
]
] |
filmackay/flypy | [
"d64e70959c5c8af9e914dcc3ce1068fb99859c3a"
] | [
"flypy/lib/arrays/tests/test_array.py"
] | [
"# -*- coding: utf-8 -*-\nfrom __future__ import print_function, division, absolute_import\n\nimport unittest\nfrom flypy import jit\n\nimport numpy as np\n\nclass TestArrayAttributes(unittest.TestCase):\n\n def test_array_create(self):\n @jit\n def identity(a):\n return a\n\n a =... | [
[
"numpy.all",
"numpy.arange",
"numpy.array",
"numpy.empty"
]
] |
YoungjuNa-KR/Gaze_estimator_implementation | [
"c7b84189c263456c648829bc399a5edb2ec17bb8"
] | [
"utils/utils_image.py"
] | [
"import os\nimport math\nimport random\nimport numpy as np\nimport torch\nimport cv2\nfrom torchvision.utils import make_grid\nfrom datetime import datetime\n# import torchvision.transforms as transforms\nimport matplotlib.pyplot as plt\nfrom skimage.measure import compare_ssim\n\n'''\nmodified by Kai Zhang (github... | [
[
"torch.abs",
"numpy.dot",
"numpy.expand_dims",
"numpy.squeeze",
"numpy.flipud",
"torch.sum",
"numpy.mean",
"torch.FloatTensor",
"matplotlib.pyplot.tight_layout",
"numpy.arange",
"numpy.matmul",
"torch.from_numpy",
"numpy.copy",
"numpy.float32",
"matplotl... |
MuyanXiao/models | [
"819ea3479f0754b34cab9d23ed0a3f9242d85bf6"
] | [
"research/deeplab/eval.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 requi... | [
[
"tensorflow.metrics.mean_iou",
"tensorflow.not_equal",
"tensorflow.Graph",
"tensorflow.reshape",
"tensorflow.equal",
"tensorflow.contrib.metrics.aggregate_metric_map",
"tensorflow.zeros_like",
"tensorflow.gfile.MakeDirs",
"tensorflow.logging.info",
"tensorflow.logging.set_v... |
rlckd159/deep-graph-matching-consensus | [
"1656cdae27c705a0aa6d2912a24e566b8b86e1b0"
] | [
"examples/pascal.py"
] | [
"import os.path as osp\n\nimport argparse\nimport torch\nfrom torch_geometric.datasets import PascalVOCKeypoints as PascalVOC\nimport torch_geometric.transforms as T\nfrom torch_geometric.data import DataLoader\n\nfrom dgmc.utils import ValidPairDataset\nfrom dgmc.models import DGMC, SplineCNN\n\nparser = argparse.... | [
[
"torch.stack",
"torch.utils.data.ConcatDataset",
"torch.no_grad",
"torch.cuda.is_available"
]
] |
matthew-brett/THINGSvision | [
"f42aedec34bbe15f2d28e08f3c3666319d42bdec"
] | [
"thingsvision/cornet/cornet_r.py"
] | [
"from collections import OrderedDict\nimport torch\nfrom torch import nn\n\n\nHASH = '5930a990'\n\n\nclass Flatten(nn.Module):\n\n \"\"\"\n Helper module for flattening input tensor to 1-D for the use in Linear modules\n \"\"\"\n\n def forward(self, x):\n return x.view(x.size(0), -1)\n\n\nclass I... | [
[
"torch.zeros",
"torch.nn.Conv2d",
"torch.nn.Linear",
"torch.nn.AdaptiveAvgPool2d",
"torch.nn.GroupNorm",
"torch.nn.ReLU"
]
] |
alxyok/kosmoss | [
"d471c8d7c9c171a99a1094f46a229e2aa415ab3b"
] | [
"src/kosmoss/hyperopt/graphs.py"
] | [
"import numpy as np\nimport os.path as osp\nfrom pytorch_lightning import LightningDataModule\nimport torch\nfrom torch_geometric.data import Dataset\nfrom torch_geometric.loader import DataLoader\nfrom typing import List, Tuple\n\nfrom kosmoss import CONFIG, DATA_PATH, METADATA\nfrom kosmoss.dataproc.flows import ... | [
[
"numpy.arange"
]
] |
hellozhaojian/transformers | [
"2355176f1ab306ada8956a06c79e9d07def57cad"
] | [
"pre-train/bert_with_tpu.py"
] | [
"# encoding: utf-8\n# Copyright 2019 The DeepNlp 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 ... | [
[
"tensorflow.contrib.cluster_resolver.TPUClusterResolver",
"tensorflow.contrib.tpu.TPUConfig",
"tensorflow.train.latest_checkpoint",
"tensorflow.contrib.tpu.TPUEstimator"
]
] |
jdowlingmedley/pyomeca | [
"6cedcb0350140094e50e76afd2fa60d13005a485"
] | [
"tests/test_object_creation.py"
] | [
"import numpy as np\nimport pytest\nimport xarray as xr\n\nfrom pyomeca import Analogs, Markers, Angles, Rototrans\nfrom ._constants import ANALOGS_DATA, MARKERS_DATA, EXPECTED_VALUES\nfrom .utils import is_expected_array\n\n\ndef test_analogs_creation():\n dims = (\"channel\", \"time\")\n array = Analogs()\n... | [
[
"numpy.eye"
]
] |
LDMDS/LDMDS-CME-TenYearFutures-CNN | [
"558d341750283e2867eda6cb2d473a197300bd31"
] | [
"PredictModel.py"
] | [
"from keras.models import Sequential\nfrom keras.layers import Convolution2D\nfrom keras.layers import MaxPooling2D\nfrom keras.layers import Flatten\nfrom keras.layers import Dense\nimport numpy as np\nfrom keras.preprocessing import image\nfrom keras.models import model_from_json\n#import pdb\n#from pprint import... | [
[
"numpy.expand_dims"
]
] |
hyunwoongko/bert2bert-summarization | [
"69f90250cde5e66b132ad2f359d970c959f1a754"
] | [
"test.py"
] | [
"import json\nimport sys\n\nimport torch\nfrom tqdm import tqdm\n\nfrom transformers import EncoderDecoderConfig, BertConfig, EncoderDecoderModel\nfrom bert2bert import KoBertTokenizer\n\n\n@torch.no_grad()\ndef inference():\n step = sys.argv[1]\n encoder_config = BertConfig.from_pretrained(\"monologg/kobert\... | [
[
"torch.no_grad",
"torch.load"
]
] |
raybellwaves/xESMF | [
"77e5d0839089ff0b9daa3c9e2d9fc82cfab2f07f"
] | [
"xesmf/frontend.py"
] | [
"\"\"\"\nFrontend for xESMF, exposed to users.\n\"\"\"\n\nimport warnings\n\nimport cf_xarray as cfxr\nimport numpy as np\nimport scipy.sparse as sps\nimport xarray as xr\nfrom xarray import DataArray, Dataset\n\nfrom .backend import Grid, LocStream, Mesh, add_corner, esmf_regrid_build, esmf_regrid_finalize\nfrom .... | [
[
"numpy.asarray",
"numpy.array",
"numpy.expand_dims",
"numpy.meshgrid"
]
] |
ai-se/parGALE | [
"2922e7e5f382c795b1f58d9e45be54b88d2ed1eb"
] | [
"utils/lib.py"
] | [
"\"\"\"\nStandard library files and operators\n\"\"\"\nfrom __future__ import print_function, division\nimport random\nimport sys, os\nsys.path.append(os.path.abspath(\".\"))\nimport math\nimport numpy as np\n\n# Constants\nEPS = 0.00001\nPI = math.pi\n\n\n\nclass O:\n \"\"\"\n Default class which everything exte... | [
[
"numpy.mean",
"numpy.percentile"
]
] |
xwind-h/gluon-nlp | [
"01727fc5f6be9b3329571bd688a340067408ad88"
] | [
"src/gluonnlp/data/utils.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 2.0 (the... | [
[
"numpy.arange",
"numpy.random.shuffle",
"numpy.ceil"
]
] |
jhunkeler/pysiaf | [
"5b6d00f43b438405924811ac0d76e030bed2803c"
] | [
"pysiaf/tests/test_nirspec.py"
] | [
"#!/usr/bin/env python\n\"\"\"Test NIRSpec transformations internally and against the test dataset delivered by IDT.\n\nAuthors\n-------\n\n Johannes Sahlmann\n\n\"\"\"\n\nimport os\n\nfrom astropy.io import fits\nfrom astropy.table import Table\nimport numpy as np\nimport pylab as pl\n# import pytest\n\n\n\nfro... | [
[
"numpy.abs",
"numpy.linspace"
]
] |
vuducmanh1407/sign-language-translation | [
"8df83befcf2896ad23dbcf7f34eb22a6884495fb"
] | [
"modules/embeddings.py"
] | [
"import numpy as np\nfrom turtle import forward\nimport torch\nimport torch.nn as nn\n\nclass WordEmbedding(nn.Module):\n \n def __init__(\n self,\n embedding_size=300,\n hidden_size=512,\n pretrained_embedding=None,\n device=None\n ):\n\n super(WordEmbedding, ... | [
[
"torch.nn.Softmax",
"numpy.array",
"torch.Tensor"
]
] |
abhijit810/Twitter-ETL-Airflow | [
"c9da4c33f82585609fc49885937620dfdea51bab"
] | [
"airflow/dags/Twitter_DAG.py"
] | [
"from datetime import datetime, timedelta\nfrom airflow import DAG\nfrom airflow.operators.bash_operator import BashOperator\nfrom airflow.operators.python_operator import PythonOperator\nfrom airflow.contrib.hooks.cassandra_hook import CassandraHook\nimport pandas as pd\n\nfrom airflow.models import Variable\n\nfr... | [
[
"pandas.json_normalize",
"pandas.Series",
"pandas.DataFrame"
]
] |
zhanghhong/efficientdet-tf2-zhh | [
"0ff4d5e2cc60746740ad4309fb90031867e84db9"
] | [
"utils/utils.py"
] | [
"import math\r\nimport warnings\r\n\r\nimport numpy as np\r\nfrom PIL import Image\r\nfrom tensorflow import keras\r\n\r\n\r\ndef letterbox_image(image, size):\r\n iw, ih = image.size\r\n w, h = size\r\n scale = min(w/iw, h/ih)\r\n nw = int(iw*scale)\r\n nh = int(ih*scale)\r\n\r\n image = image.re... | [
[
"numpy.log",
"numpy.maximum",
"numpy.minimum",
"numpy.min",
"numpy.unique",
"numpy.arange",
"numpy.ones",
"numpy.concatenate",
"numpy.max",
"numpy.apply_along_axis",
"numpy.argmax",
"numpy.shape",
"numpy.argsort",
"numpy.exp",
"numpy.zeros"
]
] |
cefect/myCanFlood | [
"84dfcee10d86d6fb3edbe5e3ce452f3f15ca6919"
] | [
"canflood/hlpr/plug.py"
] | [
"'''\nCreated on Feb. 25, 2020\n\n@author: cefect\n\n\nhelper functions for use in plugins\n'''\n\n\n\n#==============================================================================\n# imports------------\n#==============================================================================\n#python\nimport logging, con... | [
[
"pandas.DataFrame",
"pandas.DataFrame.from_dict"
]
] |
Thunderbrook/Paddle | [
"4870c9bc99c6bd3b814485d7d4f525fe68ccd9a5"
] | [
"python/paddle/fluid/dygraph/nn.py"
] | [
"# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless re... | [
[
"numpy.array",
"numpy.prod"
]
] |
BradhamLab/transPipe | [
"7a4fb14492f14114e3a90daca7237a41131365ad"
] | [
"scripts/python/utils.py"
] | [
"import itertools\nimport os\nimport re\nimport subprocess as sbp\n\nimport numpy as np\nimport yaml\n\n\ndef link_ids_to_input(data_dir, sample_regex, replicate_regex=''):\n \"\"\"\n Link sample ids to data files.\n\n Args:\n data_dir (string): parent directory containing all sample-specific\n ... | [
[
"numpy.log2"
]
] |
tinlun/cs350-convex-hull | [
"93e63a7383085cea5a068ad4d5d510469cd0d321"
] | [
"utils.py"
] | [
"import numpy as np\n\ndef left_most_point(points):\n '''\n Takes in the array of points, and returns the point\n furthest on the left side.\n '''\n leftMost = np.array([])\n for point in points:\n if leftMost.size == 0 or point[0] < leftMost[0]:\n leftMost = point\n return le... | [
[
"numpy.dot",
"numpy.array",
"numpy.lexsort",
"numpy.linalg.norm"
]
] |
hhf1357924680/RL-FIN | [
"be8dc15e1b6890551eae5637c179d23521956f58"
] | [
"RL_2020_ENSEMBLE.py"
] | [
"import warnings # python运行代码的时候，经常会碰到代码可以正常运行但是会提出警告，不想看到这些不重要的警告，所以使用控制警告输出\n\nwarnings.filterwarnings(\"ignore\") # 使用警告过滤器来控制忽略发出的警告\n\nimport pandas as pd\nimport numpy as np\nimport matplotlib # python中类似于MATLAB的绘图工具，是一个2D绘图库\nimport matplotlib.pyplot as plt\nimport datetime # datetime模块提供了各种类,用于操作日期和时间\n... | [
[
"matplotlib.pyplot.plot",
"pandas.read_csv",
"matplotlib.pyplot.savefig",
"pandas.DataFrame"
]
] |
ykosuke0508/interdependence-model | [
"4bb10a8b0c89c8e79d054820b08e0955aee4bb8b"
] | [
"proposed_method/interdependence_model.py"
] | [
"# -*- coding:utf-8 -*-\nimport numpy as np\nimport sys\nimport matplotlib.pyplot as plt\nimport matplotlib.cm as cm\nimport sklearn.svm as svm\nimport pandas as pd\nimport copy\nimport time\nimport random\nfrom operator import itemgetter\nimport sklearn.ensemble as ensemble\nimport scipy.optimize as optimize\nfrom... | [
[
"numpy.log",
"numpy.ones_like",
"numpy.minimum",
"numpy.tile",
"numpy.linalg.norm",
"numpy.all",
"numpy.delete",
"numpy.copy",
"numpy.insert",
"numpy.exp",
"numpy.random.uniform",
"numpy.array",
"numpy.where",
"numpy.zeros"
]
] |
anthonysimeonov/uois | [
"5c3bd855f3e24ca4816179de3ca36c3246f29e84"
] | [
"src/uois/cluster.py"
] | [
"import numpy as np\nimport torch\n\nfrom abc import ABC, abstractmethod\n\n# my libraries\nfrom .util import utilities as util_\n\n\n### Mean-Shift Clustering (PyTorch) ###\n\ndef euclidean_distances(x, y):\n \"\"\" Computes pairwise distances\n \n @param x: a [n x d] torch.FloatTensor of datapoin... | [
[
"torch.mm",
"torch.ones",
"torch.empty",
"torch.mode",
"torch.zeros",
"torch.min",
"torch.argmin",
"torch.multinomial",
"torch.tensor",
"torch.unique",
"torch.index_select",
"numpy.random.randint"
]
] |
eric-bonfadini/rasa_nlu | [
"eba7abcac4bda325b25fcab13a54f9676a04f562"
] | [
"rasa/core/policies/ted_policy.py"
] | [
"from __future__ import annotations\nimport logging\n\nfrom rasa.engine.recipes.default_recipe import DefaultV1Recipe\nfrom pathlib import Path\nfrom collections import defaultdict\nimport contextlib\n\nimport numpy as np\nimport tensorflow as tf\nfrom typing import Any, List, Optional, Text, Dict, Tuple, Union, Ty... | [
[
"tensorflow.convert_to_tensor",
"tensorflow.device",
"numpy.expand_dims",
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.reduce_sum",
"tensorflow.stack",
"tensorflow.cast",
"numpy.squeeze",
"numpy.max",
"numpy.any",
"tensorflow.pad",
"tensorflow.nn.gelu",
... |
kmnhan/nexpy | [
"b5fb72b3c1ae2580e5d5504fbc5bd2f2cd13d98b"
] | [
"src/nexpy/readers/readtxt.py"
] | [
"# -----------------------------------------------------------------------------\n# Copyright (c) 2013-2021, NeXpy Development Team.\n#\n# Distributed under the terms of the Modified BSD License.\n#\n# The full license is in the file COPYING, distributed with this software.\n# --------------------------------------... | [
[
"numpy.genfromtxt"
]
] |
gmbrandt/banzai | [
"af6ddb529e8c35eaa87abf67372160f2dd99050b"
] | [
"banzai/tests/utils.py"
] | [
"from __future__ import absolute_import, division, print_function, unicode_literals\nimport pytest\nfrom banzai.utils import image_utils\nimport numpy as np\nfrom datetime import datetime\n\n\nclass FakeImage(object):\n def __init__(self, nx=101, ny=103, image_multiplier=1.0,\n ccdsum='2 2', epoc... | [
[
"numpy.meshgrid",
"numpy.arange",
"numpy.ones",
"numpy.exp",
"numpy.zeros"
]
] |
mkuiper/deepmind-research | [
"1642ae3499c8d1135ec6fe620a68911091dd25ef"
] | [
"density_functional_approximation_dm21/density_functional_approximation_dm21/neural_numint.py"
] | [
"# Copyright 2021 DeepMind Technologies Limited.\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 applic... | [
[
"tensorflow.compat.v1.stack",
"tensorflow.compat.v1.expand_dims",
"tensorflow.compat.v1.disable_v2_behavior",
"numpy.einsum",
"tensorflow.compat.v1.reduce_sum",
"numpy.stack",
"tensorflow.compat.v1.global_variables_initializer",
"tensorflow.compat.v1.gradients",
"tensorflow.com... |
EelaNagarajQC/fletcher | [
"c5b675524abb88d3c3dbbce5876d3c305248fca5"
] | [
"fletcher/algorithms/string.py"
] | [
"from functools import singledispatch\nfrom typing import Any, List, Tuple\n\nimport numpy as np\nimport pyarrow as pa\n\nfrom fletcher._algorithms import _buffer_to_view, _merge_valid_bitmaps\nfrom fletcher._compat import njit\nfrom fletcher.algorithms.utils.chunking import (\n _calculate_chunk_offsets,\n _c... | [
[
"numpy.uint8",
"numpy.zeros",
"numpy.empty"
]
] |
TheoSaify/Yolo-Detector | [
"f1ac387370982de323a4fc09109c57736b8ce8d6"
] | [
"MorphologicalTrans.py"
] | [
"import cv2\r\nimport numpy as np\r\nfrom matplotlib import pyplot as plt\r\n\r\n\r\n\r\n\r\n###############################Erosion#########################\r\n# it erodes away the boundaries of foreground object\r\n\r\n\r\nimg = cv2.imread('C://Users//alsaifyt//Desktop//PythonOpenCvScripts//j.png',0)\r\nkernel = n... | [
[
"matplotlib.pyplot.imshow",
"matplotlib.pyplot.yticks",
"matplotlib.pyplot.title",
"numpy.ones",
"matplotlib.pyplot.subplot",
"matplotlib.pyplot.xticks",
"matplotlib.pyplot.show"
]
] |
vonum/style-transfer | [
"0cd9bcb3fa680298de727141824dfc201b7dc666"
] | [
"losses.py"
] | [
"import tensorflow as tf\n\ndef mean_squared_error(a, b):\n return tf.reduce_mean(tf.square(a - b))\n\ndef sum_squared_error(a, b):\n return tf.reduce_sum(tf.square(a - b))\n\ndef gram_matrix(tensor):\n shape = tensor.get_shape()\n\n # Get the number of feature channels for the input tensor,\n # which is assum... | [
[
"tensorflow.reshape",
"tensorflow.transpose",
"tensorflow.square",
"tensorflow.image.total_variation"
]
] |
leolapidus/Concrete_Design_Tool | [
"7553f50d3db05e3a6c290e35acdc5d8bd1c51130"
] | [
"FE_code/single_load.py"
] | [
"\"\"\"This module only contains the single load element.\n\n\"\"\"\n\nimport numpy as np\n\nfrom FE_code.element import Element\n\nclass SingleLoad(Element):\n \"\"\"Creates a Single Load on the Nodes of the Element\n \n Attributes\n ----------\n node : object `Node`\n object of the class Nod... | [
[
"numpy.array"
]
] |
masunder/3DSRCNN-pytorch-1 | [
"74355561e94b9cbe947af7a87830846928d49d9f"
] | [
"generate_subblocks.py"
] | [
"\n# -*- coding: utf-8 -*-\n\nimport torch\nfrom torch.autograd import Variable\nimport numpy as np\nimport argparse\nimport utils\nimport os\ntorch.nn.Module.dump_patches = True\n##该程序相当于是拼接，只有全部生成了子图片（3d_vdsr_xxx）,才能成功生成完整图像\nparser = argparse.ArgumentParser(description=\"PyTorch VDSR\")\nparser.add_argument(\"--... | [
[
"torch.autograd.Variable",
"numpy.zeros",
"torch.Tensor",
"torch.load"
]
] |
carolmanderson/NeMo | [
"ec6591e76ab5d33e050e0dded25bed43d5d6c3e4"
] | [
"nemo/collections/nlp/models/duplex_text_normalization/duplex_tn.py"
] | [
"# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless re... | [
[
"numpy.average"
]
] |
maumueller/ann-benchmarks-edml19 | [
"e598caa74ddbcae6c269f249c1e16c97c4642f7d"
] | [
"ann_benchmarks/datasets.py"
] | [
"import h5py\nimport numpy\nimport os\nimport random\nimport sys\ntry:\n from urllib import urlretrieve\nexcept ImportError:\n from urllib.request import urlretrieve # Python 3\n\n\ndef download(src, dst):\n if not os.path.exists(dst):\n # TODO: should be atomic\n print('downloading %s -> %s.... | [
[
"numpy.product",
"sklearn.random_projection.GaussianRandomProjection",
"numpy.array",
"sklearn.feature_extraction.text.TfidfTransformer",
"numpy.zeros",
"scipy.sparse.lil_matrix"
]
] |
fpvc040/OverlapPredator | [
"16b2007711126dc337d48049b0c1a56c23f4bc78"
] | [
"Fast_GR_cupoch/point_cloud_alignment.py"
] | [
"import numpy as np\nimport copy\nimport time\nimport open3d as o3d\n\ndef preprocess_point_cloud(pcd, voxel_size):\n print(\":: Downsample with a voxel size %.3f.\" % voxel_size)\n pcd_down = pcd.voxel_down_sample(voxel_size)\n\n radius_normal = voxel_size * 2\n print(\":: Estimate normal with search r... | [
[
"numpy.asarray"
]
] |
alexisicte/aviate | [
"91e357ed9cb234c878a12a8f18391c3c33f6b357"
] | [
"venv/lib/python3.8/site-packages/mne/channels/channels.py"
] | [
"# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>\n# Matti Hämäläinen <msh@nmr.mgh.harvard.edu>\n# Denis Engemann <denis.engemann@gmail.com>\n# Andrew Dykstra <andrew.r.dykstra@gmail.com>\n# Teon Brooks <teon.brooks@gmail.com>\n# Daniel McCloy <dan.mccloy@gmai... | [
[
"numpy.swapaxes",
"numpy.take",
"numpy.abs",
"numpy.unique",
"numpy.asarray",
"numpy.memmap",
"scipy.spatial.Delaunay",
"scipy.io.loadmat",
"scipy.sparse.csr_matrix",
"numpy.concatenate",
"numpy.prod",
"numpy.repeat",
"numpy.array",
"numpy.sum",
"scipy.s... |
laitalaj/cvpce | [
"7509e7d7783039f39a88edc6e411333bcf6fb2af",
"7509e7d7783039f39a88edc6e411333bcf6fb2af",
"7509e7d7783039f39a88edc6e411333bcf6fb2af"
] | [
"cvpce/planogram_adapters.py",
"cvpce/models/proposals.py",
"cvpce/cli/datasets/gp.py"
] | [
"import json\n\nimport torch\nimport networkx as nx\n\ndef _get_object(planogram, graph, node):\n return planogram['objects'][graph.nodes[node]['ogg']]\n\ndef _process_dir(d): # Flip for compliance w/ detections\n res = d.upper()\n if 'N' in res:\n return res.replace('N', 'S')\n if 'S' in res:\n ... | [
[
"torch.tensor"
],
[
"torch.nn.init.calculate_gain",
"torch.nn.init.constant_",
"torch.nn.Conv2d",
"torch.nn.init.xavier_normal_",
"torch.zeros_like",
"torch.is_tensor",
"torch.nn.Tanh",
"torch.nn.functional.mse_loss",
"torch.nn.Upsample",
"torch.nn.functional.interp... |
BoweiY/P-CNN | [
"99cb38c3217bce215afefc39228e8d63f30aef9f"
] | [
"lib/datasets/voc_eval.py"
] | [
"# --------------------------------------------------------\n# Fast/er R-CNN\n# Licensed under The MIT License [see LICENSE for details]\n# Written by Bharath Hariharan\n# --------------------------------------------------------\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future... | [
[
"numpy.maximum",
"numpy.minimum",
"numpy.arange",
"numpy.cumsum",
"numpy.sort",
"numpy.finfo",
"numpy.concatenate",
"numpy.max",
"numpy.argmax",
"numpy.where",
"numpy.argsort",
"numpy.array",
"numpy.zeros",
"numpy.sum"
]
] |
leeminsu87/KoBERT | [
"8ebf43f2a1fa2c4deb6b7a63a089c5904c8feda3"
] | [
"kobert/pytorch_kobert.py"
] | [
"# coding=utf-8\n# Copyright 2019 SK T-Brain Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by a... | [
[
"torch.device",
"torch.LongTensor"
]
] |
zzz2010/Contrib | [
"d351d83da718145cef9f6c98598f7fedc027efe5",
"d351d83da718145cef9f6c98598f7fedc027efe5"
] | [
"biggan/paddorch/paddorch/linalg.py",
"MARS/test_single_stream.py"
] | [
"# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless ... | [
[
"numpy.float"
],
[
"numpy.squeeze",
"numpy.array"
]
] |
huggingface/optimum-graphcore | [
"356832240a3ae7744ea909a39c949d4067d01ba6"
] | [
"optimum/graphcore/models/t5/modeling_t5.py"
] | [
"# Copyright 2022 The HuggingFace Team. 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 ... | [
[
"torch.no_grad",
"torch.nn.CrossEntropyLoss",
"torch.ones",
"torch.cuda.set_device"
]
] |
fuine/nDES | [
"895671d8982ff408725ebab6f83fc1b2c42680cc"
] | [
"gpu_utils/benchmark_selective_matmul.py"
] | [
"import torch\nfrom timerit import Timerit\nimport numpy as np\nfrom numpy.random import shuffle\nfrom gpu_utils import poor_selective_matmul, create_sorted_weights_for_matmul\n\nnp.random.seed(42)\n\n\ndef benchmark_torch():\n device = torch.device(\"cuda:0\")\n t1 = Timerit(num=200, verbose=2)\n total = ... | [
[
"numpy.random.seed",
"torch.zeros",
"numpy.arange",
"numpy.random.shuffle",
"torch.tensor",
"torch.rand",
"torch.device"
]
] |
DominickZhang/NAS-FCOS | [
"1f7281478430eaed028e2cc2dfa8be226c63939b"
] | [
"maskrcnn_benchmark/nas/modeling/layer_factory.py"
] | [
"\"\"\"Different custom layers\"\"\"\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\nfrom maskrcnn_benchmark.layers.dcn_v2 import DCN\n\ndef conv3x3(in_planes, out_planes, stride=1, groups=1, bias=False, dilation=1):\n \"3x3 convolution with padding\"\n return nn.Conv2d(in_planes, out... | [
[
"torch.nn.Sequential",
"torch.nn.ReLU6",
"torch.ones",
"torch.cat",
"torch.nn.Conv2d",
"torch.nn.functional.interpolate",
"torch.nn.BatchNorm2d",
"torch.nn.GroupNorm",
"torch.nn.ReLU"
]
] |
stnava/superiq | [
"a13befe5f525bbef02cd095031952db62c5d054e"
] | [
"applications/evaluate_OASIS_TRT_20_BF.py"
] | [
"import os\n# set number of threads - this should be optimized for your compute instance\nmynt=\"16\"\nos.environ[\"TF_NUM_INTEROP_THREADS\"] = mynt\nos.environ[\"TF_NUM_INTRAOP_THREADS\"] = mynt\nos.environ[\"ITK_GLOBAL_DEFAULT_NUMBER_OF_THREADS\"] = mynt\n\nimport os.path\nfrom os import path\nimport glob as glob... | [
[
"tensorflow.keras.models.load_model",
"pandas.DataFrame"
]
] |
co2meal/-bnpy-dev | [
"8f297d8f3e4a56088d7755134c329f63a550be9e"
] | [
"bnpy/deletemove/DCollector.py"
] | [
"\"\"\"\nFunctions for collecting a target dataset for a delete move.\n\n- addDataFromBatchToPlan\n- getDataSubsetRelevantToPlan\n\"\"\"\n\nimport numpy as np\nimport DeleteLogger\n\n\ndef addDataFromBatchToPlan(Plan, hmodel, Dchunk, LPchunk,\n uIDs=None,\n maxUID... | [
[
"numpy.hstack",
"numpy.arange",
"numpy.flatnonzero",
"numpy.logical_or",
"numpy.ceil",
"numpy.zeros",
"numpy.sum"
]
] |
quantummind/quantum | [
"fd952d0362c5445eef0da4437fb3e5ebb16b7948"
] | [
"tensorflow_quantum/python/layers/circuit_executors/expectation_test.py"
] | [
"# Copyright 2020 The TensorFlow Quantum 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# Unl... | [
[
"tensorflow.convert_to_tensor",
"tensorflow.keras.Input",
"tensorflow.keras.layers.Dense",
"tensorflow.keras.initializers.RandomNormal",
"tensorflow.test.main",
"tensorflow.keras.Model",
"tensorflow.subtract",
"tensorflow.keras.optimizers.Adam",
"tensorflow.optimizers.Adam",
... |
Rapixar/hivemind | [
"bb759e23eec9c3d63b2763428bcdb8687ee055d3"
] | [
"hivemind/server/task_pool.py"
] | [
"\"\"\"\nTask pool is responsible for receiving tasks and grouping them together for processing (but not processing itself)\n\"\"\"\nimport ctypes\nimport multiprocessing as mp\nimport multiprocessing.context\nimport os\nimport threading\nimport time\nimport uuid\nfrom collections import namedtuple\nfrom concurrent... | [
[
"torch.split_with_sizes",
"torch.set_num_threads",
"torch.cat"
]
] |
fairscape/hctsa-analysis-replication-code | [
"16148637cad2d360065ecb8815f4962e6848213b"
] | [
"merge-normalize-dataframe.py"
] | [
"import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn import linear_model\nfrom sklearn.svm import l1_min_c\nimport time\nimport json\n\nhr = pd.read_csv('/data/HR_daily_samples.csv')\nhr = hr.add_prefix('HR_')\n\nprint('Read in HR')\n\nsp = pd.read_csv('/data/SPO2_daily_samples.cs... | [
[
"numpy.ceil",
"pandas.merge",
"pandas.read_csv"
]
] |
gbetegon88/dataiku-contrib | [
"4683a9e08a3706a163810bf104bf6464025e235e"
] | [
"deeplearning-image-gpu/custom-recipes/deeplearning-image-extract/recipe.py"
] | [
"import dataiku\nimport pandas as pd\nfrom dataiku.customrecipe import *\nfrom keras.models import load_model, Model\nimport numpy as np\nimport json\nimport os\nimport glob\nimport dl_image_toolbox_utils as utils\nimport constants\nos.environ[\"CUDA_VISIBLE_DEVICES\"] = \"\"\n\n####################################... | [
[
"numpy.array",
"pandas.DataFrame"
]
] |
makeesyai/makeesy-deep-learning | [
"172f8a4301d6b60927824a56648d60559ba3f14e"
] | [
"self_attention/deconstructing_multihead_attn.py"
] | [
"from scipy.special import softmax\nimport numpy as np\n\n\"\"\"\nRNN and LSTM\nhttps://colab.research.google.com/github/mrm8488/shared_colab_notebooks/blob/master/basic_self_attention_.ipynb\n\nAttentions\nhttps://www.youtube.com/watch?v=S27pHKBEp30\n\nPosition Embeddings\nhttps://www.youtube.com/watch?v=dichIcUZf... | [
[
"numpy.array",
"scipy.special.softmax",
"numpy.stack",
"numpy.transpose"
]
] |
amasotti/homer-skipgram-lemmata | [
"56c59a53b0c9f2c61354259e739dcfad6d443624"
] | [
"skipgram_homer.py"
] | [
"# -*- coding: utf-8 -*-\n__author__ = 'Antonio Masotti'\n__date__ = 'january 2021'\n\n\"\"\"\nAll the main functions needed to train the model.\nDefined here to make train_skipgram.py more readable\n\n\"\"\"\n\n# Imports\nimport json\nimport random\n\nimport matplotlib.pyplot as plt # for loss plotting\nimport nu... | [
[
"matplotlib.pyplot.title",
"matplotlib.pyplot.figure",
"numpy.save",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.xlabel",
"numpy.load",
"matplotlib.pyplot.show",
"matplotlib.pyplot.ylabel"
]
] |
FighterLYL/autograd | [
"2c675bb44d706f9d30993e6389b18ccafe7213e4"
] | [
"examples/lstm.py"
] | [
"from __future__ import absolute_import\nfrom __future__ import print_function\nimport autograd.numpy as np\nimport autograd.numpy.random as npr\nfrom autograd import value_and_grad\nfrom autograd.util import quick_grad_check\nfrom scipy.optimize import minimize\nfrom six.moves import range\n\nclass WeightsParser(o... | [
[
"scipy.optimize.minimize"
]
] |
brb-reallife/Stocksera | [
"726f969ce74f8e8916ae0942c669be2c16b4d6b1"
] | [
"scheduled_tasks/economy/get_upcoming_events_date.py"
] | [
"import os\nimport sys\nimport json\nimport sqlite3\nimport tabula\nimport pandas as pd\nfrom datetime import datetime, timedelta\n\nsys.path.append(os.path.join(os.path.dirname(__file__), '../..'))\n\nfrom scheduled_tasks.economy.ychart_connection import ychart_data\n\nconn = sqlite3.connect(r\"database/database.d... | [
[
"pandas.to_datetime",
"pandas.read_html"
]
] |
jkurian49/hate-speech-detection | [
"22e12eb4fecdef857b1cc5d94dea76d66241608e"
] | [
"hate_speech_detection.py"
] | [
"#Author: Tommy Pawelski\n#Created: July 13th 2018\n\nimport pandas as pd\nimport numpy as np\nimport nltk\nimport string\nimport csv\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.ensemble import VotingClassifier\nfrom mlxtend.classifier import StackingCVClassifier\n\n### LOAD IN ORIGINAL DATA... | [
[
"pandas.read_csv",
"sklearn.metrics.confusion_matrix",
"sklearn.model_selection.train_test_split",
"sklearn.ensemble.VotingClassifier",
"sklearn.metrics.f1_score"
]
] |
shenweihai1/rolis-eurosys2022 | [
"59b3fd58144496a9b13415e30b41617b34924323"
] | [
"third-party/paxos/scripts/figure.py"
] | [
"#! /usr/bin/env python\n# -*- coding: utf-8 -*-\n\n\nxxx = [1, 2, 4, 8, 16, 32]\n\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom matplotlib.ticker import FuncFormatter\n\nSTR_CONCURRENT_REQS_PER_SERVER = \"Concurrent reqs/server\"\nSTR_THROUGHPUT = \"Throughput\"\nSTR_NUMBER_O... | [
[
"matplotlib.pyplot.legend",
"matplotlib.pyplot.ylim",
"numpy.arange",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.savefig",
"numpy.concatenate",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.xlim",
"matplotlib.pyplot.errorbar",
"matplotlib.pyplot.bar",
"matplotlib.p... |
utiasSTARS/manipulator_learning | [
"9a0e0c66c0a3c07124331f010bd04bb52eaf95bb"
] | [
"manipulator_learning/learning/imitation/collect_utils.py"
] | [
"import h5py\nimport numpy as np\nimport os\nimport shutil\n\n\nclass HDF5Dataset:\n def __init__(self, data_dir, example_obs):\n if type(example_obs) == dict:\n self.dict_obs = True\n self.names = list(example_obs.keys())\n self.img_names = []\n for n in self.n... | [
[
"numpy.array"
]
] |
donlee90/cs231n | [
"f3dbf849d2f40efbefe8d63bc8c95c295cd0eaf4"
] | [
"assignment3/cs231n/classifiers/rnn.py"
] | [
"from builtins import range\nfrom builtins import object\nimport numpy as np\n\nfrom cs231n.layers import *\nfrom cs231n.rnn_layers import *\n\n\nclass CaptioningRNN(object):\n \"\"\"\n A CaptioningRNN produces captions from image features using a recurrent\n neural network.\n\n The RNN receives input v... | [
[
"numpy.sqrt",
"numpy.ones",
"numpy.argmax",
"numpy.random.randn",
"numpy.array",
"numpy.zeros"
]
] |
tcstewar/fcg | [
"7d0692234fb6ff31fa8823e64b72fce264241eea"
] | [
"fcg/html.py"
] | [
"import numpy as np\nimport fcg\n\ndef create_color(seed):\n rng = np.random.RandomState(seed=seed)\n return '#%02x%02x%02x' % (rng.uniform(64,255), rng.uniform(64,255), rng.uniform(64,255))\n\ndef as_span(s):\n return '<span style=\"background-color: %s;\">%s</span>' % (create_color(id(s)), s._id)\ndef as... | [
[
"numpy.random.RandomState"
]
] |
CiceroAraujo/SB | [
"637cc4bc63c952f058c316b2b1fbfbb5cd6250c8"
] | [
"packs/solvers/solvers_trilinos/solvers_tril.py"
] | [
"from PyTrilinos import Epetra, AztecOO\nimport numpy as np\nimport scipy.sparse as sp\n# IFPACK.PrintSparsity(Matrix, \"matrix.ps\")\n\n\nclass solverTril:\n\n def __init__(self, p=1):\n self._comm = Epetra.PyComm()\n self._params = dict()\n # self.set_parameters()\n\n def solve_linear_... | [
[
"numpy.array",
"scipy.sparse.find"
]
] |
NunoEdgarGFlowHub/zipline | [
"459366c17ac918576daf21ba9cf5706399eea988"
] | [
"zipline/data/data_portal.py"
] | [
"#\n# Copyright 2016 Quantopian, Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or... | [
[
"numpy.nanmax",
"numpy.amax",
"pandas.isnull",
"pandas.Timestamp",
"numpy.isnan",
"numpy.around",
"numpy.amin",
"numpy.nanmin",
"pandas.Timedelta",
"pandas.DataFrame",
"pandas.tslib.normalize_date",
"numpy.nansum",
"numpy.array",
"numpy.sum"
]
] |
H-Park/stable-baselines | [
"d056fbf23e25a41bb30b458bb6ebea3864ef2afa"
] | [
"stable_baselines/common/hvac_action_mask_skeleton.py"
] | [
"import gym\nimport numpy as np\nfrom gym.spaces import Discrete, MultiDiscrete\n\nimport math\nfrom pprint import pprint as pp\nfrom scipy import linalg\nfrom scipy import integrate\nfrom scipy import interpolate\n\nimport os\nimport warnings\n\nimport stable_baselines.common.hvac_data.hvac_environment as Environm... | [
[
"numpy.divmod",
"numpy.array",
"numpy.transpose",
"numpy.random.choice"
]
] |
DominicBroadbentCompass/bayesian-coresets-optimization | [
"3657f2ebfc4f0e6b36f5c651b0651f06d7e3d6b1"
] | [
"experiments/tests/not_yet_updated/test_base/test_opt.py"
] | [
"import warnings\n\nimport numpy as np\nfrom bayesiancoresets.base import OptimizationCoreset\n\nwarnings.filterwarnings('ignore',\n category=UserWarning) # tests will generate warnings (due to pathological data design for testing), just ignore them\nnp.seterr(all='raise')\nnp.set_printoptio... | [
[
"numpy.seterr",
"numpy.set_printoptions",
"numpy.zeros",
"numpy.random.seed"
]
] |
chriscline/mne-python | [
"ced882efa2455b94094f430c62fef95d825d984e"
] | [
"tutorials/forward/25_automated_coreg.py"
] | [
"\"\"\"\n=============================================\nUsing an automated approach to coregistration\n=============================================\n\nThis example shows how to use the coregistration functions to perform an\nautomated MEG-MRI coregistration via scripting.\n\n.. warning:: The quality of the coregis... | [
[
"numpy.max",
"numpy.mean",
"numpy.min"
]
] |
z430/pycochleagram | [
"45420d969047781933a91281592f46befcc3f48f"
] | [
"pycochleagram/tests/test_erbfilter_unity.py"
] | [
"import os\nimport sys\nsys.path.insert(1, os.path.join(sys.path[0], '..'))\nimport numpy as np\n\nimport erbfilter as erb\n\n\ndef test_erb_filts_unity(mode='grid', verbose=0):\n \"\"\"Test that the squard ERB filterbank sums to 1.\n\n This is intended to check the generalization of 1x, 2x and 4x filter\n o... | [
[
"numpy.ones_like",
"numpy.sum",
"numpy.random.randint"
]
] |
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