repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
anubrata/PrototExNL | [
"f19e0a92f3a06771ef110fde28f6eeb4a0916ac7"
] | [
"preprocess.py"
] | [
"import pathlib\nfrom pathlib import Path\nimport numpy as np\nimport torch\n# from pytorch_pretrained_bert import BertTokenizer\n\nlabels_set={'Appeal_to_Authority',\n 'Appeal_to_fear-prejudice',\n 'Bandwagon',\n 'Black-and-White_Fallacy',\n 'Causal_Oversimplification',\n 'Doubt',\n 'Exaggeration,Minimisation',\n ... | [
[
"numpy.asarray",
"numpy.zeros",
"numpy.sum",
"numpy.min",
"numpy.where",
"torch.LongTensor",
"torch.Tensor"
]
] |
gdewael/cpg-transformer | [
"970248d192739af194c9e9df5823c9eda8c2fa75"
] | [
"cpg_transformer/cpgtransformer.py"
] | [
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport pytorch_lightning as pl\nfrom torchmetrics.functional import auroc, accuracy, f1\nfrom cpg_transformer.blocks import MultiDimWindowTransformerLayer\nfrom cpg_transformer.blocks import CnnL2h128, CnnL3h128, RnnL1, JointL2h512\n\n\nclass Cp... | [
[
"torch.nn.Linear",
"torch.nn.functional.binary_cross_entropy_with_logits",
"torch.cat",
"torch.sigmoid",
"torch.stack",
"torch.diagonal",
"torch.nn.Sequential",
"torch.nn.ReLU",
"torch.nn.functional.mse_loss",
"torch.optim.lr_scheduler.MultiplicativeLR",
"torch.nn.init.... |
tmilliman/sirpy2 | [
"f750e7ca861ff107e1bd9d081dcae315d547ecf8"
] | [
"sirpy2/sir2png.py"
] | [
"#!/usr/bin/env python\n\"\"\"\nCreated Apr 7, 2017\nThis script creates a png image of the contents of a SIR file using\ndefault vmin/vmax values in file header\n\n@author: DGL at BYU\n\"\"\"\n\n# Imports\nimport os\nimport sys\nimport argparse\n\nimport numpy as np\n\nfrom .loadsir import loadsir\nimport png as p... | [
[
"numpy.round",
"numpy.uint8",
"numpy.int"
]
] |
usgs/gems-tools-pro | [
"5227bee243d50bfabc611dec3a9da6732b4c2909"
] | [
"Scripts/GeMS_GeolexCheck_AGP2.py"
] | [
"#! python3\r\n\r\n\"\"\"\r\nGeologic Names Check\r\nname-fullname - This version checks for Geolex names in both the name and fullname and then processes the set \r\nwith the fewest entries to minimize the number of Geolex names and usages that are reported.\r\n\r\nArguments: \r\n DMU - GeMS DescriptionOfMapUni... | [
[
"pandas.DataFrame",
"pandas.isna",
"pandas.Series"
]
] |
septasset/deep-high-resolution-net.pytorch | [
"eb59426a20a944199f62ed07f93d266638b80af7"
] | [
"lib/dataset/poseX2.py"
] | [
"# ------------------------------------------------------------------------------\n# Copyright (c) Microsoft\n# Licensed under the MIT License.\n# Written by Bin Xiao (Bin.Xiao@microsoft.com)\n# ------------------------------------------------------------------------------\n\nfrom __future__ import absolute_import\... | [
[
"numpy.max",
"numpy.array",
"numpy.ones",
"numpy.zeros"
]
] |
Karin-S/deeplab_modify | [
"7f704729ebdf3ab78f9ce0ef0ee0bc245ae5455c"
] | [
"modeling/deeplab.py"
] | [
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom modeling.sync_batchnorm.batchnorm import SynchronizedBatchNorm2d\nfrom modeling.aspp import build_aspp\nfrom modeling.decoder import build_decoder\nfrom modeling.backbone import build_backbone\n\n\nclass DeepLab(nn.Module):\n def __init_... | [
[
"torch.rand"
]
] |
joseruiz1989/detectron2 | [
"be67214add717fbdd0157521b2e63ea025164284"
] | [
"detectron2/modeling/roi_heads/fast_rcnn.py"
] | [
"# Copyright (c) Facebook, Inc. and its affiliates.\nimport logging\nfrom typing import Callable, Dict, List, Optional, Tuple, Union\nimport torch\nfrom torch import nn\nfrom torch.nn import functional as F\n\nfrom detectron2.config import configurable\nfrom detectron2.data.detection_utils import get_fed_loss_cls_w... | [
[
"torch.nn.Linear",
"torch.nn.functional.binary_cross_entropy_with_logits",
"torch.cat",
"torch.unique",
"torch.arange",
"torch.nn.init.constant_",
"torch.isfinite",
"torch.nn.init.normal_",
"torch.nn.functional.softmax",
"torch.flatten",
"torch.empty",
"torch.sum"
... |
whitemike889/tensorflow | [
"9aaf74d733a38cf587a75f2ffaa05d8a51d8c32b"
] | [
"tensorflow/python/keras/optimizer_v2/optimizer_v2.py"
] | [
"# Copyright 2018 The TensorFlow Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requ... | [
[
"tensorflow.python.ops.variables.Variable",
"tensorflow.python.keras.backend.get_graph",
"tensorflow.python.framework.ops.init_scope",
"tensorflow.python.ops.array_ops.unique",
"tensorflow.python.distribute.distribution_strategy_context.get_strategy",
"tensorflow.python.util.nest.flatten",... |
Lain-progressivehouse/probspace-youtube | [
"04740862fb28fb9a38131554369d6c54eb560fc5"
] | [
"src/pseudo.py"
] | [
"import lightgbm as lgb\nfrom optuna.integration import lightgbm_tuner\nimport numpy as np\nimport pandas as pd\nfrom sklearn.metrics import mean_squared_error, mean_absolute_error\nfrom sklearn.model_selection import KFold, StratifiedKFold\nfrom scipy import stats\n\nfrom src import data_frame, feature_selection, ... | [
[
"sklearn.model_selection.StratifiedKFold",
"numpy.mean",
"numpy.std",
"pandas.Series",
"scipy.stats.mstats.rankdata"
]
] |
mmaher22/iCV-SBR | [
"72effab621a9f8f5cee0d584b5a2f0e98524ffd6"
] | [
"Source Codes/CSRM_Tensorflow/csrm.py"
] | [
"# coding=utf-8\n\nfrom __future__ import print_function\nimport numpy as np\nimport tensorflow as tf\nfrom ome import OME\nimport data_process\nimport time\nimport os\nimport pandas as pd\nimport subprocess\ntf.set_random_seed(22)\nnp.random.seed(22)\n\ndef numpy_floatX(data):\n return np.asarray(data, dtype=np... | [
[
"tensorflow.matmul",
"tensorflow.nn.moments",
"tensorflow.reshape",
"numpy.mean",
"tensorflow.sqrt",
"tensorflow.nn.embedding_lookup",
"tensorflow.nn.softmax",
"tensorflow.global_variables_initializer",
"tensorflow.random_normal",
"tensorflow.set_random_seed",
"numpy.ra... |
deep110/aoc-solutions | [
"e016d25e8fa822fca45bef672af2a679dd3483f8"
] | [
"2018/day11/solution.py"
] | [
"from os import path\nimport numpy as np\n\n\nwith open(path.join(path.dirname(__file__), \"input.txt\")) as f:\n ms = f.readlines()\n\n\ngrid_serial = 7400\n\n\ndef power(x, y):\n rid = x + 10\n pl = rid * y + grid_serial\n\n t = pl * rid\n if len(str(t)) >= 3:\n return int(str(t)[-3]) - 5\n ... | [
[
"numpy.sum",
"numpy.argmax",
"numpy.zeros"
]
] |
gautam-sharma1/FacialKeypointDetection | [
"ad542bc5d01e1cdf7c0291850e29b5aa5767d8d3"
] | [
"feature_maps.py"
] | [
"# Construct the dataset\nimport matplotlib.pyplot as plt\nfrom torch.utils.data import DataLoader\nfrom model import Net\nimport cv2 as cv2\nfrom transforms import *\n\ndata_transform = transforms.Compose([Rescale(250),\n RandomCrop(224), Normalize(), ToTensor()\n ... | [
[
"matplotlib.pyplot.waitforbuttonpress",
"torch.utils.data.DataLoader",
"matplotlib.pyplot.pause",
"matplotlib.pyplot.imshow"
]
] |
tevenfeng/TjuAgvCar | [
"7ce94703d827a063acb89816f7141086c8a2ac98"
] | [
"TrainCNN/TensorflowUtil.py"
] | [
"#!/usr/bin/python2\r\n# coding:utf8\r\n\r\nimport tensorflow as tf\r\n\r\n\r\ndef weight_variable(shape):\r\n '''Initialize weight variable with specified shape.\r\n shape: [kernel_shape[0], kernel_shape[1], num_of_channels, num_of_kernels]'''\r\n initial = tf.truncated_normal(shape, stddev=0.1)\r\n re... | [
[
"tensorflow.nn.conv2d",
"tensorflow.matmul",
"tensorflow.Variable",
"tensorflow.reshape",
"tensorflow.truncated_normal",
"tensorflow.constant",
"tensorflow.placeholder",
"tensorflow.nn.dropout"
]
] |
adityabingi/U-Net | [
"4c8e1a9d44aba7bbd5acb6ac0cd4e7d76f5cc7ac"
] | [
"src/main.py"
] | [
"from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport numpy as np\nimport functools\nimport argparse\nimport os\nimport cv2\n\nfrom DataPreparation import get_baseline_dataset, split_data, augment\nfrom Model import Model\n\n\n_IMG_SHAPE = (512, 51... | [
[
"numpy.reshape"
]
] |
afshinrahimi/mmner | [
"7e181594c23552799cec657b84476df3705210e0"
] | [
"config.py"
] | [
"import numpy as np\nimport os\nimport random\nimport logging\nimport tarfile\nimport pdb\n#from utils import collect_vocab_and_tags_panx, collect_embedding_vocabs, write_vocab_tags_chars_embs, trim_embs\nfrom collections import defaultdict\n# shared global variables to be imported from model also\nUNK = \"$UNK$\"\... | [
[
"numpy.load",
"numpy.zeros",
"numpy.vstack"
]
] |
eeshakumar/bark-ml | [
"ce76ec880676e129358706ec1a050ecfa207590e"
] | [
"bark_ml/library_wrappers/lib_fqf_iqn_qrdqn/utils.py"
] | [
"from collections import deque\nimport numpy as np\nimport torch\nimport matplotlib.pyplot as plt\n\n\ndef update_params(optim, loss, networks, retain_graph=False, grad_cliping=None, count=0):\n optim.zero_grad()\n loss.backward(retain_graph=retain_graph)\n # Clip norms of gradients to stebilize training.\n if ... | [
[
"numpy.zeros",
"torch.max",
"matplotlib.pyplot.grid",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.ylim",
"matplotlib.pyplot.title",
"matplotlib.pyplot.savefig",
"numpy.mean",
"torch.ones",
"torch.tensor",
"torch.eye",
"matplotlib.pyplot.ylabel",
"matplotlib.p... |
ziotom78/toast | [
"66aef04c833a28f0928a0bbc221da45882aae475"
] | [
"src/toast/todmap/sim_det_map.py"
] | [
"# Copyright (c) 2015-2019 by the parties listed in the AUTHORS file.\n# All rights reserved. Use of this source code is governed by\n# a BSD-style license that can be found in the LICENSE file.\n\nimport numpy as np\n\nimport healpy as hp\n\nfrom ..timing import function_timer, GlobalTimers\n\nfrom .. import qarr... | [
[
"numpy.array",
"numpy.arange",
"numpy.dtype",
"numpy.zeros"
]
] |
daugraph/estimator | [
"2248336960a2cc65d2b7d0b21aca76157ccd0e79"
] | [
"tensorflow_estimator/python/estimator/tpu/_tpu_estimator_embedding.py"
] | [
"# Copyright 2018 The TensorFlow Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requ... | [
[
"tensorflow.python.util.tf_export.estimator_export",
"tensorflow.python.tpu.tpu_embedding.TPUEmbedding",
"tensorflow.compat.v1.where",
"tensorflow.compat.v1.gather_nd",
"tensorflow.sparse.SparseTensor",
"tensorflow.compat.v2.sparse.split",
"tensorflow.compat.v1.shape",
"tensorflow.... |
mingkaid/soft-Q-learning-for-text-generation | [
"e769cd9da43197cf3701710e734285d20ecc19c1"
] | [
"sql/modules.py"
] | [
"import torch\nimport texar.torch as tx\nfrom typing import Tuple, Dict, Union, Optional, Callable, Any, cast\n\nfrom sql.utils import ForwardMode\nfrom sql import utils as sql_utils\n# from sql import replay_buffer\nfrom sql.modules_base import SoftQModelBase\nfrom sql.types import (\n BatchType,\n HF_BatchT... | [
[
"torch.distributions.Categorical",
"torch.no_grad",
"torch.cuda.is_available",
"torch.minimum"
]
] |
musicinmybrain/NiaAML | [
"58d879cb1d5f8a458bb5cca115e68c125418fc6e"
] | [
"niaaml/fitness/cohen_kappa.py"
] | [
"from sklearn.metrics import cohen_kappa_score\nfrom niaaml.fitness.fitness_function import FitnessFunction\n\n__all__ = [\"CohenKappa\"]\n\n\nclass CohenKappa(FitnessFunction):\n r\"\"\"Class representing the cohen's kappa as a fitness function.\n\n Date:\n 2020\n\n Author:\n Luka Pečnik\n\n... | [
[
"sklearn.metrics.cohen_kappa_score"
]
] |
ZuhaoLiu/NAS-SCAM | [
"6fac20e97561c344a5f0775a11aa6baf04f10d11"
] | [
"network_rebuild.py"
] | [
"import torch\nfrom torch import sigmoid\nimport torch.nn.functional as F\nfrom torch.nn.functional import relu\nfrom primitives import SAM_PRIMITIVES, SAM_OPS, CAM_PRIMITIVES, CAM_OPS\nimport math\nfrom conv_modules import * \n\n\nclass MixedOp(nn.Module):\n '''\n the connection between two nodes in the rebu... | [
[
"torch.div",
"torch.mul",
"torch.unsqueeze"
]
] |
paragon520/cascoKNN | [
"1bee06200c5e8c86977bbdec896b624af2c2e05a"
] | [
"pyod/models/combination.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"A collection of model combination functionalities.\n\"\"\"\n# Author: Yue Zhao <yuezhao@cs.toronto.edu>\n# License: BSD 2 clause\n\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport numpy as np\nfrom numpy.random import RandomState\nfrom sklearn.utils i... | [
[
"numpy.max",
"numpy.zeros",
"numpy.random.RandomState",
"numpy.sum",
"sklearn.utils.random.sample_without_replacement",
"numpy.mean",
"sklearn.utils.testing.assert_equal",
"numpy.multiply",
"sklearn.utils.check_array",
"sklearn.utils.column_or_1d"
]
] |
gkebe/EventBERT | [
"63a77067629350c118b12d48884394c4b85416b9"
] | [
"inverse_cloze.py"
] | [
"# coding=utf-8\n# Copyright 2018 The Google AI Language Team Authors and The HugginFace Inc. team.\n# Copyright (c) 2018, 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 ... | [
[
"torch.cuda.is_available",
"torch.load",
"sklearn.metrics.f1_score",
"numpy.log",
"torch.distributed.init_process_group",
"torch.manual_seed",
"numpy.argmax",
"torch.tensor",
"torch.utils.data.DataLoader",
"torch.device",
"numpy.array",
"torch.cuda.manual_seed_all",... |
carlos-aguayo/ray | [
"fedbdd5dc6a47aa9cba170816f8c0950193b4fd6"
] | [
"rllib/offline/mixed_input.py"
] | [
"import numpy as np\n\nfrom ray.rllib.offline.input_reader import InputReader\nfrom ray.rllib.offline.json_reader import JsonReader\nfrom ray.rllib.offline.io_context import IOContext\nfrom ray.rllib.utils.annotations import override, DeveloperAPI\nfrom ray.rllib.utils.typing import SampleBatchType\nfrom typing imp... | [
[
"numpy.random.choice"
]
] |
fjbriones/deep-text-recognition-benchmark | [
"c85d12aa56495fe221656bac4c8cb159a28456b1"
] | [
"utils.py"
] | [
"import torch\nimport torch.nn.functional as F\nimport torchvision.transforms as transforms\nfrom torch import nn\nimport numpy as np\ndevice = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n\n\nclass CTCLabelConverter(object):\n \"\"\" Convert between text-label and text-index \"\"\"\n\n def _... | [
[
"torch.zeros",
"torch.nn.functional.normalize",
"torch.cat",
"torch.arange",
"torch.IntTensor",
"torch.no_grad",
"torch.randint",
"torch.cuda.is_available",
"torch.LongTensor",
"torch.eye",
"torch.transpose",
"torch.matmul"
]
] |
chrhenning/snn_global_pattern_induction | [
"3ee4037a4568c393378eaec74483696d5281f376"
] | [
"src/evaluation.py"
] | [
"#!/usr/bin/env python3\n# Copyright 2017 Christian Henning\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... | [
[
"numpy.concatenate",
"numpy.linalg.norm",
"numpy.asarray",
"numpy.sum",
"numpy.mean",
"sklearn.metrics.precision_recall_fscore_support",
"sklearn.metrics.accuracy_score",
"numpy.std",
"numpy.argmax"
]
] |
ScanLab-ossi/SDN-DCRNN | [
"ed74497717fc7d0a6bcadc1b3d48e2e848a60175"
] | [
"scripts/plot_predictions_multi_horizon.py"
] | [
"import numpy as np\nimport matplotlib.pylab as plt\nimport argparse\nimport logging\nfrom os.path import join as pj\n\n\ndef parse_args():\n parser = argparse.ArgumentParser()\n parser.add_argument(\n \"-p\", \"--predictions-file\", type=str, default=\"DCRNN npz file\"\n )\n parser.add_argument(... | [
[
"matplotlib.pylab.figure",
"numpy.load",
"matplotlib.pylab.close"
]
] |
Aerospace-AI/RL_ExoIntercept | [
"44514f96d7771437d8b29c220f55f9ed936aa1fd"
] | [
"RL_lib/Policies/PPO/policy_ppo_kf.py"
] | [
"\"\"\"\n Implements PPO\n\n PPO: https://arxiv.org/abs/1707.06347\n Modified from policy Written by Patrick Coady (pat-coady.github.io) to implement\n latest version of PPO with pessimistic ratio clipping\n\n o Has an option to servo both the learning rate and the clip_param to keep KL \n withi... | [
[
"numpy.concatenate",
"numpy.max",
"torch.min",
"numpy.zeros",
"numpy.minimum",
"torch.save",
"numpy.ones",
"torch.no_grad",
"numpy.min",
"numpy.mean",
"torch.clamp",
"torch.from_numpy",
"numpy.std",
"torch.load",
"numpy.maximum",
"torch.exp",
"to... |
Ifyokoh/End-to-End-Machine-Learning | [
"f23f8034aa3fc02c6dd834de50a25d5603adc8d2"
] | [
"propertypro/propertypro.py"
] | [
"from numpy import NaN\nimport pandas as pd\nimport requests\nimport math\nimport re\n\nfrom bs4 import BeautifulSoup\n\n\nclass Propertypro:\n \"\"\"\n web-scraper tool for scraping data on propertypro.ng\n \n Parameters:\n num_samples (int): The number of samples of data to be scraped. \n ... | [
[
"pandas.DataFrame.from_dict",
"pandas.set_option"
]
] |
geosharma/pyrotd | [
"f1c1637ef990c88737a08add496b923013a83d23"
] | [
"tests/test_osc_resp.py"
] | [
"\"\"\"Test oscillator response calculation.\"\"\"\nimport numpy as np\nimport pytest\n\nimport pyrotd\nfrom .test_spectra import load_at2\n\nosc_freq = 10\n\n\ndef calc_oscillator_resp(motion, osc_damping, resp):\n return pyrotd.calc_oscillator_resp(\n motion[\"freqs\"],\n motion[\"fourier_amps\"]... | [
[
"numpy.testing.assert_allclose",
"numpy.fft.rfft",
"numpy.linspace"
]
] |
wthirskgaskill/codonPython | [
"8bbb97fa73a9f663f602859ac310bc83f1224f85"
] | [
"codonPython/nhsNumber.py"
] | [
"import random\nimport numpy as np\n\n\ndef nhsNumberValidator(number: int) -> bool:\n \"\"\"\n Validate NHS Number according to modulus 11 checks as recorded in the data dictionary.\n https://www.datadictionary.nhs.uk/data_dictionary/attributes/n/nhs/nhs_number_de.asp?shownav=1\n\n Parameters\n ----... | [
[
"numpy.array",
"numpy.arange"
]
] |
yala/NeuraCrypt | [
"6c9862d1076095d76779af03a3a9ffd2cfec748a"
] | [
"sandstone/datasets/chest_xray.py"
] | [
"import os\nfrom collections import Counter\nimport torch\nfrom sandstone.datasets.factory import RegisterDataset\nfrom sandstone.datasets.abstract_dataset import Abstract_Dataset\nimport sandstone.utils\nimport tqdm\nfrom random import shuffle\nimport copy\nimport numpy as np\nimport datetime\nimport pdb\n\nMIMIC_... | [
[
"numpy.random.shuffle"
]
] |
marcobarilari/nighres | [
"e503bb96a6a73f73020c5d9d7b540bc5f17699a8"
] | [
"nighres/parcellation/massp.py"
] | [
"import numpy\nimport nibabel\nimport os\nimport sys\nimport json\nimport nighresjava\nfrom ..io import load_volume, save_volume\nfrom ..utils import _output_dir_4saving, _fname_4saving, \\\n _check_topology_lut_dir, _check_available_memory\nfrom nighres.global_settings import DEFAULT_MASSP_ATLAS... | [
[
"numpy.nanmax",
"numpy.zeros"
]
] |
namjmnam/Compounder | [
"5bde1877459c968327aab1bfb9839d370e17b416"
] | [
"elbow.py"
] | [
"# coding=UTF-8\r\nimport math\r\nimport re\r\nimport pandas\r\n\r\nclass CorpusBuilder:\r\n def __init__(self, inputPath):\r\n self.corpusDocList = list(pandas.read_csv(inputPath)['NEWS_BODY'])\r\n self.corpusText = ' '.join(self.corpusDocList)\r\n temp = cleanText(self.corpusText).split(' ... | [
[
"pandas.read_csv"
]
] |
pramitmallick/jiant | [
"1e203c0c226731f218a2be96d2b03f0c6313eb5e"
] | [
"src/modules/seq2seq_decoder.py"
] | [
"# This is a slightly modified version of the AllenNLP SimpleSeq2Seq class:\n# https://github.com/allenai/allennlp/blob/master/allennlp/models/encoder_decoders/simple_seq2seq.py\n\nfrom typing import Dict\n\nimport numpy\nfrom overrides import overrides\n\nimport torch\nimport torch.nn as nn\nfrom torch.autograd im... | [
[
"torch.nn.Linear",
"torch.nn.modules.linear.Linear",
"torch.nn.LogSoftmax",
"torch.nn.modules.rnn.LSTMCell",
"torch.nn.Dropout",
"torch.nn.GRU",
"torch.cat",
"torch.randn"
]
] |
rtphokie/stemwizardapi | [
"85d14da95d14601caeb7fb169e3ae574638628c2"
] | [
"stemwizard_automation.py"
] | [
"#!/usr/bin/env python3\n\nfrom STEMWizard import STEMWizardAPI\nimport pandas as pd\nimport argparse\n\ndef stats(listname, df, filename, columns):\n print(f\"created {filename}\")\n for column in columns:\n print(f'\\n{column.lower()}')\n c = df[f\"{column.upper()}\"].value_counts(dropna=False... | [
[
"pandas.concat"
]
] |
huggingface/hf_benchmarks | [
"2a4367b003d4e363a7e3c6485c4a6bdbfd8f95f0"
] | [
"tests/test_hub.py"
] | [
"import os\nfrom unittest import TestCase\n\nimport pandas as pd\nfrom huggingface_hub import HfFolder\n\nfrom hf_benchmarks import extract_tags, get_benchmark_repos\n\nfrom .testing_utils import (\n BOGUS_BENCHMARK_NAME,\n DUMMY_BENCHMARK_NAME,\n DUMMY_EVALUATION_ID,\n DUMMY_MODEL_ID,\n DUMMY_PREDIC... | [
[
"pandas.Timedelta"
]
] |
DavidCai1993/coursera-deep-learning | [
"fd01dd25bf4b5521732ab1e9f723dc716ac26691",
"fd01dd25bf4b5521732ab1e9f723dc716ac26691"
] | [
"improving-deep-neural-networks/week-2/Optimization+methods.py",
"convolutional-neural-networks/week-1/Convolution+model+-+Step+by+Step+-+v2.py"
] | [
"\n# coding: utf-8\n\n# # Optimization Methods\n# \n# Until now, you've always used Gradient Descent to update the parameters and minimize the cost. In this notebook, you will learn more advanced optimization methods that can speed up learning and perhaps even get you to a better final value for the cost function. ... | [
[
"numpy.random.seed",
"matplotlib.pyplot.xlabel",
"numpy.random.permutation",
"matplotlib.pyplot.title",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.show",
"matplotlib.pyplot.gca"
],
[
"numpy.max",
"numpy.pad",
"numpy.zeros",
"numpy.r... |
0000marcosg/Person_remover | [
"a3e9ba198b3bdc6645e53e0d652430534c362442"
] | [
"yolo/yolov3/models.py"
] | [
"import numpy as np\nimport tensorflow as tf\nfrom tensorflow.keras import Model\nfrom tensorflow.keras.layers import (\n Add,\n Concatenate,\n Conv2D,\n Input,\n Lambda,\n LeakyReLU,\n MaxPool2D,\n UpSampling2D,\n ZeroPadding2D,\n)\nfrom tensorflow.keras.regularizers import l2\nfrom tens... | [
[
"tensorflow.exp",
"tensorflow.keras.layers.Add",
"tensorflow.keras.Model",
"tensorflow.zeros_like",
"tensorflow.stack",
"tensorflow.cast",
"tensorflow.shape",
"tensorflow.concat",
"tensorflow.sigmoid",
"tensorflow.math.log",
"tensorflow.keras.layers.LeakyReLU",
"ten... |
gatarelib/PyTorchCV | [
"5191d0ddc5c42a4cc8dc5451aa14c263c2f3e77f"
] | [
"methods/det/single_shot_detector.py"
] | [
"#!/usr/bin/env python\n# -*- coding:utf-8 -*-\n# Author: Donny You (youansheng@gmail.com)\n# Class Definition for Single Shot Detector.\n\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport time\nimport torch\nimport torch.backends.cudnn as cu... | [
[
"torch.no_grad"
]
] |
JeffHeard/terrapyn | [
"8d883b6c8a729e972c12d6f0c3b2a34ea86dcd88"
] | [
"ows/tasks.py"
] | [
"#!/usr/bin/python\n\nfrom celery.task import Task\nfrom celery.task.sets import subtask\nfrom osgeo import gdal\n\nfrom terrapyn.ows.views import common\n\n\ntry:\n import cairo\n have_cairo = True\nexcept ImportError:\n have_cairo = False\n\ntry:\n import scipy\n have_scipy = True\nexcept ImportErr... | [
[
"scipy.misc.imsave"
]
] |
intel/Theano-dev | [
"6ca6fd4646f9e958058c7bce52cd51923c05c2f4"
] | [
"theano/tensor/fft.py"
] | [
"from __future__ import absolute_import, print_function, division\nimport numpy as np\nfrom theano import gof\nimport theano.tensor as T\nfrom theano.gradient import DisconnectedType\n\n\nclass RFFTOp(gof.Op):\n\n __props__ = ()\n\n def output_type(self, inp):\n # add extra dim for real/imag\n r... | [
[
"numpy.imag",
"numpy.real",
"numpy.zeros"
]
] |
ameier3/geopandas | [
"0435306e74c71b870c06ea4e26dc4d4ee85ea9d9"
] | [
"geopandas/geodataframe.py"
] | [
"import json\nimport warnings\n\nimport numpy as np\nimport pandas as pd\nfrom pandas import DataFrame, Series\nfrom pandas.core.accessor import CachedAccessor\n\nfrom shapely.geometry import mapping, shape\nfrom shapely.geometry.base import BaseGeometry\n\nfrom pyproj import CRS\n\nfrom geopandas.array import Geom... | [
[
"pandas.isnull",
"numpy.array",
"pandas.api.types.is_list_like",
"numpy.asarray",
"pandas.api.types.is_scalar",
"pandas.DataFrame.from_dict",
"pandas.DataFrame",
"pandas.core.accessor.CachedAccessor",
"pandas.DataFrame.merge"
]
] |
Yaakoubi/Struct-CKN | [
"fa007fa71310866584bdf2e5b038e6663b94e965"
] | [
"SDCA/sdca4crf/parameters/dense_weights.py"
] | [
"import numpy as np\nfrom matplotlib import pyplot as plt\n\nfrom SDCA.sdca4crf.parameters.sparse_weights import SparsePrimalDirection\nfrom SDCA.sdca4crf.parameters.weights import WeightsWithoutEmission\nfrom SDCA.sdca4crf.utils import letters2wordimage\n\n\nclass DenseWeights(WeightsWithoutEmission):\n \"\"\"I... | [
[
"matplotlib.pyplot.colorbar",
"numpy.dot",
"matplotlib.pyplot.matshow",
"numpy.zeros",
"numpy.sum",
"numpy.arange",
"numpy.linspace"
]
] |
ldylab/Facial-Recognition-Project-GDUT | [
"a5842cbfad7b8d6f906d50f39711ba55c663ea76"
] | [
"Deep Learning Method/T4_efficientnetV2/train.py"
] | [
"import os\nimport math\nimport argparse\nimport torch\nimport torch.optim as optim\nfrom torch.utils.tensorboard import SummaryWriter\nfrom torchvision import transforms\nimport torch.optim.lr_scheduler as lr_scheduler\nfrom model import efficientnetv2_s as create_model\nfrom my_dataset import MyDataSet\nfrom util... | [
[
"pandas.DataFrame",
"torch.optim.SGD",
"torch.cuda.is_available",
"torch.utils.data.DataLoader",
"torch.load",
"torch.optim.lr_scheduler.LambdaLR",
"torch.utils.tensorboard.SummaryWriter"
]
] |
miszkur/data-efficient-NLP | [
"7ad9d988cd17e769ab97802adbdeb6893429af10"
] | [
"src/run_data_aug_experiment.py"
] | [
"import numpy as np\nimport pandas as pd\nimport ml_collections\nimport time\nimport pickle\nimport os\nimport torch\n\nfrom codecarbon import EmissionsTracker\nfrom torch.utils.data import ConcatDataset, Subset, DataLoader\n\nfrom data_processing.ev_parser import create_dataloader, create_dataset\nfrom models.bert... | [
[
"torch.utils.data.ConcatDataset",
"numpy.array",
"torch.utils.data.DataLoader",
"pandas.concat",
"pandas.read_csv",
"numpy.isin"
]
] |
eugenevinitsky/sequential_social_dilemma_games | [
"6de7a797b73e956315d9201200353065a6714f3e"
] | [
"social_dilemmas/envs/map_env.py"
] | [
"\"\"\"Base map class that defines the rendering process\n\"\"\"\n\nimport random\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom gym.spaces import Box, Dict\nfrom ray.rllib.agents.callbacks import DefaultCallbacks\nfrom ray.rllib.env import MultiAgentEnv\n\n_MAP_ENV_ACTIONS = {\n \"MOVE_LEFT\": [0,... | [
[
"numpy.rot90",
"numpy.array",
"numpy.dot",
"numpy.asarray",
"numpy.zeros",
"matplotlib.pyplot.savefig",
"numpy.copy",
"matplotlib.pyplot.cla",
"numpy.random.shuffle",
"numpy.any",
"matplotlib.pyplot.show",
"numpy.unique",
"matplotlib.pyplot.imshow"
]
] |
simonsobs/ocs | [
"24c6a617ea3038fccdb40bfd602ffd541415a476"
] | [
"tests/test_ocs_twisted.py"
] | [
"import time\nimport numpy as np\nimport pytest\nfrom ocs.ocs_twisted import Pacemaker\n\ndef test_quantized():\n \"\"\"\n Tests that Pacemaker forces regular sampling rate when quantize=True.\n\n \"\"\"\n sample_freq = 5\n pm = Pacemaker(sample_freq, quantize=True)\n times = []\n for i in rang... | [
[
"numpy.array",
"numpy.abs"
]
] |
arpastrana/coronary-mesh-convolution | [
"617e96face7f5686ef9772473c623b4dd3494047"
] | [
"transforms/geodesics.py"
] | [
"from utils.inlet import IndexFinder\nimport potpourri3d as pp3d\nimport torch\n\n\nclass InletGeodesics(object):\n \"\"\"Compute the shortest geodesic distances from each vertex to the vessel inlet.\n\n Args:\n -\n \"\"\"\n\n def __init__(self):\n self.inlet_indices = IndexFinder()\n\n ... | [
[
"torch.from_numpy"
]
] |
bashish101/ir | [
"cc90e86827c19035f38d0d85154f073a86aa9796"
] | [
"tfidf_model.py"
] | [
"import numpy as np\nfrom collections import Counter\n\nclass TFIDF():\n def __init__(self,\n data):\n super(TFIDF, self).__init__()\n self.data = data\n self.N = len(data)\n \n self.tf_dict = {}\n self.df_dict = {}\n self.idf_dict = {}\n \n ... | [
[
"numpy.log"
]
] |
TomographicImaging/CCPi-Framework | [
"0a434c8b8086d2b759b4f3d66f7cc42e8099dfe9"
] | [
"Wrappers/Python/cil/framework/framework.py"
] | [
"# -*- coding: utf-8 -*-\n# This work is part of the Core Imaging Library (CIL) developed by CCPi \n# (Collaborative Computational Project in Tomographic Imaging), with \n# substantial contributions by UKRI-STFC and University of Manchester.\n\n# Licensed under the Apache License, Version 2.0 (the \"License... | [
[
"numpy.isclose",
"numpy.array_equal",
"numpy.empty",
"numpy.eye",
"numpy.transpose",
"numpy.random.randint",
"numpy.sqrt",
"numpy.cross",
"numpy.matrix",
"numpy.array",
"numpy.copyto",
"numpy.zeros",
"numpy.shape",
"numpy.random.random_sample",
"numpy.al... |
Computational-Nonlinear-Optics-ORC/Compare-CNLSE | [
"9b56cedbca2a06af3baa9f64e46ebfd4263f86c2"
] | [
"unit_testing/test_BNLSE.py"
] | [
"import sys\nsys.path.append('src')\nfrom combined_functions import dF_sidebands, sim_parameters,\\\n overlap, pulse_propagation_adaptive, pulse_propagation_constant,\\\n float_range\nfrom BNLSE_specific import *\nimport GNLSE_specific as GN\nfrom copy import deepcopy\nfrom numpy.testing import assert_allcl... | [
[
"numpy.testing.assert_allclose",
"numpy.testing.assert_raises"
]
] |
jeeva2812/ashoka-tech-for-change | [
"e61de845166f4473d40c577ebbe3ebf4964f61a7"
] | [
"inter_iit_backend/final.py"
] | [
"#!./osmnx/bin/python3\n\n\n\"\"\"Capacited Vehicles Routing Problem (CVRP).\"\"\"\n\nfrom ortools.constraint_solver import routing_enums_pb2\nfrom ortools.constraint_solver import pywrapcp\nimport numpy as np\nimport sys\nimport osmnx as ox\nimport networkx as nx\nimport json\n\nnum_waste_types = 4\nprice = [10, 1... | [
[
"numpy.genfromtxt",
"numpy.ones"
]
] |
arizonat/softroboticfish7 | [
"f8e170f661620e66c1cd49b45a28162c2ff2d9ae"
] | [
"fish/pi/ros/catkin_ws/src/fishstatecontroller/src/ManualController.py"
] | [
"#!/usr/bin/env python\n\nimport cv2\nimport rospy\nimport roslib\nimport numpy as np\nfrom std_msgs.msg import String, Float64\n\nclass ManualController():\n \"\"\"\n Control SoFi by pressing buttons on a keyboard\n Key mappings:\n - 'a': hard left\n - 's': soft left\n - 'd': go forwa... | [
[
"numpy.zeros"
]
] |
hsaafan/SlowFeatureAnalysis | [
"3290881dcc4d0c12e4b7720ca8e9971595bccd9e"
] | [
"src/sfafd/examples/disturbances.py"
] | [
"\"\"\" Plots the disturbances for some common test sets of the Tennessee Eastman\nProcess\n\"\"\"\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport tepimport as imp\n\n\ndef plot_disturbances(show: bool = True, save: bool = False,\n w_in: float = 8, h_in: float = 6) -> None:\n tr... | [
[
"matplotlib.pyplot.rcParams.update",
"numpy.delete",
"numpy.ones_like",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.show"
]
] |
wangke1935/euler | [
"e2785eca70e7e4f37d73ac4ce64a3059b0385dc7"
] | [
"tf_euler/python/euler_ops/neighbor_ops.py"
] | [
"# Copyright 2018 Alibaba Group Holding Limited. 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# Unle... | [
[
"tensorflow.sparse.reorder",
"tensorflow.SparseTensor",
"tensorflow.size",
"tensorflow.sparse.SparseTensor",
"tensorflow.unique",
"tensorflow.reshape",
"tensorflow.stack"
]
] |
SMT-Dev/exercise_model | [
"b049279dbc38658c69eaa9e0149355c227e46a0b"
] | [
"report-data.py"
] | [
"# -*- coding: utf-8 -*-\n# @Time : 2021/4/21 3:05 PM\n# @Author : Hopen\n\nimport pymysql\nimport re\nfrom pprint import pprint\nimport numpy as np\nfrom matplotlib import pyplot as plt\nfrom config import *\n\ndb = pymysql.connect(host=HOST, user=USER, password=PASS, db=DB, port=PORT, use_unicode=True, charse... | [
[
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.pie",
"matplotlib.pyplot.title",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.axis",
"matplotlib.pyplot.show",
"matplotlib.pyplot.xticks"
]
] |
mapazarr/segmentation | [
"3f6ca88378935a7b82a8b7da18d6ce054b870c55"
] | [
"segmentation/utils/plot_utils.py"
] | [
"import os\nimport copy\nimport math\n\nimport numpy as np\nimport pandas as pd\nimport skimage.io as io\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\n\nfrom skimage.segmentation import find_boundaries\nfrom skimage.exposure import rescale_intensity\n\n\n# plotting functions\n\ndef plot_overlay(predic... | [
[
"numpy.max",
"numpy.concatenate",
"numpy.zeros",
"pandas.DataFrame",
"numpy.percentile",
"numpy.min",
"matplotlib.pyplot.subplots",
"numpy.stack",
"numpy.absolute",
"matplotlib.colors.ListedColormap",
"pandas.Series",
"numpy.unique",
"numpy.isin"
]
] |
pepebonet/DeepMP | [
"2fe5493872806fd3556c327c2cacbddc5662d590"
] | [
"deepmp/merge_h5s.py"
] | [
"#!/usr/bin/env python3\nimport os\nimport h5py\nimport click\nimport random\nimport numpy as np\nfrom collections import OrderedDict\n\ndef check_shapes(data1, data2):\n for key in data1.keys():\n if data1[key].shape[1:] != data2[key].shape[1:]:\n raise ValueError(\"Different shapes for datase... | [
[
"numpy.append"
]
] |
jamesliu/ray | [
"c18caa4db36d466718bdbcb2229aa0b2dc03da1f"
] | [
"python/ray/tests/test_failure_3.py"
] | [
"import os\nimport sys\nimport signal\n\nimport ray\n\nimport numpy as np\nimport pytest\nimport time\n\nfrom ray._private.test_utils import SignalActor, wait_for_pid_to_exit\n\nSIGKILL = signal.SIGKILL if sys.platform != \"win32\" else signal.SIGTERM\n\n\ndef test_worker_exit_after_parent_raylet_dies(ray_start_clu... | [
[
"numpy.zeros"
]
] |
CQUlearningsystemgroup/YIcongPeng | [
"f0e500cbb3c54da64db8930e5b2208e7d52186f0"
] | [
"include/tensorvision/core.py"
] | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n\"\"\"Core functions of TV.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport logging\n\nimport os\nimport numpy as np\nimport tensorflow as tf\n\nimport tensorvision.utils as utils\n\nfl... | [
[
"tensorflow.get_default_session",
"tensorflow.train.start_queue_runners",
"tensorflow.train.Coordinator",
"tensorflow.train.get_checkpoint_state",
"tensorflow.app.flags.DEFINE_boolean",
"tensorflow.name_scope",
"tensorflow.contrib.layers.summarize_collection",
"tensorflow.summary.m... |
MayukhBagchiTrento/Ax | [
"7c925ba8365af714d9671208de490ba48814bfaa"
] | [
"ax/models/torch/botorch_defaults.py"
] | [
"#!/usr/bin/env python3\n# Copyright (c) Facebook, Inc. and its affiliates.\n#\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\n\nfrom typing import Any, Callable, Dict, List, Optional, Tuple\n\nimport torch\nfrom ax.core.types import TCo... | [
[
"torch.diag_embed",
"torch.device",
"torch.cat",
"torch.mul",
"torch.isnan",
"torch.any",
"torch.no_grad",
"torch.all",
"torch.randint",
"torch.tensor",
"torch.as_tensor",
"torch.equal"
]
] |
bsvh/umdkb | [
"3cfe36650df26760d1296070aaf6f167271f8e3e"
] | [
"raspberry_pi/main.py"
] | [
"#!/usr/bin/env python3\nimport numpy as np\nimport core\nimport os\nimport cv2\nimport time\nimport dac8552\n\n# file save locations\ntare_current_filename = './calibration_values/tare_current.npy'\nbl_factor_filename = './calibration_values/bl_factor.npy'\ng_filename = './calibration_values/g_value.npy'\ntarget_s... | [
[
"numpy.load",
"numpy.save"
]
] |
AleksiKnuutila/clip-retrieval | [
"1ad24a3ef7c848af7fffcc797cce01c019d3f6e5"
] | [
"clip_retrieval/clip_back.py"
] | [
"from flask import Flask, request, make_response\nfrom flask_restful import Resource, Api\nfrom flask_cors import CORS\nimport clip\nimport faiss\nimport torch\nimport json\nfrom PIL import Image\nfrom io import BytesIO\nfrom PIL import Image\nimport base64\nimport os\nimport fire\nfrom pathlib import Path\nimport ... | [
[
"pandas.DataFrame",
"pandas.read_parquet",
"torch.cuda.is_available",
"numpy.where"
]
] |
larry-fuy/tensorflow_xeonphi | [
"787ab22d490e79ea8c06511d60d6cddf1b2dd2c2"
] | [
"tensorflow/contrib/session_bundle/session_bundle_test.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 requ... | [
[
"tensorflow.contrib.session_bundle.session_bundle.load_session_bundle_from_path",
"tensorflow.train.export_meta_graph",
"numpy.array",
"tensorflow.initialize_all_variables",
"tensorflow.test.test_src_dir_path",
"tensorflow.Graph",
"tensorflow.reset_default_graph",
"tensorflow.Varia... |
adws2/Spin_model | [
"cc977b5244ba2989f1f48e89264b4da4486503f6"
] | [
"Spin_calculator.py"
] | [
"import matplotlib.pyplot as plt\nimport numpy as np\n\nclass calculator():\n def __init__(self, samples):\n self.samples = samples\n self.N = samples.shape[0]\n self.M = samples.shape[1]\n self.len_T = samples.shape[2]\n \n \n def magnetization(self):\n ## sam... | [
[
"numpy.average",
"numpy.sqrt",
"numpy.zeros",
"numpy.eye"
]
] |
AlexanderSing/TrackEval | [
"373e643f8989445f0253af6748e9e247d6ae6322"
] | [
"trackeval/metrics/track_map.py"
] | [
"import numpy as np\nfrom ._base_metric import _BaseMetric\nfrom .. import _timing\nfrom functools import partial\nfrom .. import utils\nfrom ..utils import TrackEvalException\n\n\nclass TrackMAP(_BaseMetric):\n \"\"\"Class which implements the TrackMAP metrics\"\"\"\n\n @staticmethod\n def get_default_met... | [
[
"numpy.concatenate",
"numpy.ndindex",
"numpy.array",
"numpy.count_nonzero",
"numpy.logical_not",
"numpy.logical_or",
"numpy.zeros",
"numpy.round",
"numpy.ones",
"numpy.logical_and",
"numpy.mean",
"numpy.finfo",
"numpy.arange",
"numpy.argsort",
"numpy.cum... |
andma1/remind-eora | [
"3006c1ddecd1766ea2aef65115c53b08358be7ea"
] | [
"app/AI/script.py"
] | [
"\nimport os\nimport cv2\nimport time\nimport argparse\nimport requests\nimport numpy as np\nfrom tqdm import tqdm\nfrom PIL import Image\nfrom io import BytesIO\nimport matplotlib.pyplot as plt\n\n\n################################################\n################################################\n\n\ndef rleToMas... | [
[
"numpy.concatenate",
"numpy.max",
"numpy.array",
"numpy.zeros",
"numpy.ones",
"numpy.min",
"numpy.arange"
]
] |
vdye/astropy | [
"2865905fa520c540a025e34fd52ee5a3b28d75d9"
] | [
"astropy/io/fits/tests/test_header.py"
] | [
"# -*- coding: utf-8 -*-\n# Licensed under a 3-clause BSD style license - see PYFITS.rst\n\nimport copy\nimport collections\n\nfrom io import StringIO, BytesIO\n\nimport pytest\nimport numpy as np\n\nfrom astropy.io import fits\nfrom astropy.io.fits.verify import VerifyWarning\nfrom astropy.utils.exceptions import ... | [
[
"numpy.int8",
"numpy.uint32",
"numpy.ones",
"numpy.bool_",
"numpy.arange",
"numpy.all",
"numpy.int64",
"numpy.int16"
]
] |
isoundy000/FGJumperMaster | [
"10063f167fbba7d9e16375965f7320a3966169f6"
] | [
"FGVisonUtil.py"
] | [
"# -*- coding: utf-8 -*- \nimport cv2\nimport numpy as np\n\nimport matplotlib.pyplot as plt\nimport math\n\nclass FGVisionUtil:\n '''\n 凡哥的机器视觉工具箱\n\n '''\n\n\n @staticmethod\n def cal_rgb_margin(img):\n '''\n 计算采样色块区域RGB 三通道的阈值\n '''\n # 计算色块的 \n\n (minB, ... | [
[
"numpy.zeros_like",
"matplotlib.pyplot.xlim",
"numpy.copy",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.show",
"numpy.int32"
]
] |
dimitar-petrov/manim | [
"a595f8cb8da242ae01f12d80327d98af6dcbd2c5"
] | [
"manim/mobject/types/image_mobject.py"
] | [
"\"\"\"Mobjects representing raster images.\"\"\"\n\n__all__ = [\"AbstractImageMobject\", \"ImageMobject\", \"ImageMobjectFromCamera\"]\n\nimport pathlib\n\nimport numpy as np\n\nfrom PIL import Image\n\nfrom ... import config\nfrom ...constants import *\nfrom ...mobject.mobject import Mobject\nfrom ...mobject.shap... | [
[
"numpy.array",
"numpy.append"
]
] |
xaviervasques/face_classification | [
"7d947e233b82f16f0b8d0d33df5a0dac207623ce"
] | [
"src/image_gradcam_demo.py"
] | [
"import sys\n\nimport cv2\nimport numpy as np\nfrom keras.models import load_model\n\nfrom utils.grad_cam import compile_gradient_function\nfrom utils.grad_cam import compile_saliency_function\nfrom utils.grad_cam import register_gradient\nfrom utils.grad_cam import modify_backprop\nfrom utils.grad_cam import calcu... | [
[
"numpy.repeat",
"numpy.squeeze",
"numpy.expand_dims"
]
] |
silverbulletmdc/reid-strong-baseline | [
"09cbd204242194077f4fa4c2803c4694940a1c8e"
] | [
"tools/heatmap.py"
] | [
"# encoding: utf-8\n\"\"\"\n@author: sherlock\n@contact: sherlockliao01@gmail.com\n\"\"\"\n\nimport argparse\nimport os\nimport sys\nfrom os import mkdir\n\nimport torch\nfrom torch.utils.data import Dataset, DataLoader\nfrom torch.backends import cudnn\nfrom torch import nn\nimport torch.nn.functional as F\n\nimp... | [
[
"numpy.concatenate",
"torch.min",
"torch.max",
"torch.no_grad",
"torch.cuda.device_count",
"matplotlib.pyplot.imshow",
"torch.nn.DataParallel",
"torch.sum"
]
] |
BUPTJinZhang/TCTS_CNN | [
"945f728654367d460800971fd1bbb9c1d49db734"
] | [
"nets/TrajectoryletNet_3dpw.py"
] | [
"import tensorflow as tf\nfrom layers.Trajectoryblock import TrajBlock as TB\nfrom layers.Trajectoryblock import TrajBlock_2str as TB_str\nimport pdb\nimport numpy as np\n\n\ndef TrajNet(images, keep_prob, seq_length, input_length, stacklength, num_hidden, filter_size):\n with tf.variable_scope('TrajNet', reuse=... | [
[
"tensorflow.zeros",
"tensorflow.concat",
"tensorflow.expand_dims",
"tensorflow.contrib.layers.xavier_initializer",
"tensorflow.transpose",
"tensorflow.norm",
"tensorflow.variable_scope",
"tensorflow.stack"
]
] |
kaikai581/petals-to-the-metal | [
"ec629c954bc46fcc4641d005415485ddf3c04498"
] | [
"utilities/helpers.py"
] | [
"#!/usr/bin/env python\n\nfrom torchvision import datasets\nimport copy\nimport git\nimport matplotlib\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport os\nimport pandas as pd\nimport time\nimport torch\nimport torchvision\n\n# redirect output\nmatplotlib.use('Agg')\n\ndef get_git_root(path):\n '''\n... | [
[
"matplotlib.use",
"matplotlib.pyplot.subplot",
"numpy.array",
"torch.max",
"matplotlib.pyplot.savefig",
"torch.no_grad",
"matplotlib.pyplot.title",
"pandas.DataFrame",
"matplotlib.pyplot.close",
"matplotlib.pyplot.figure",
"torch.sum",
"torch.cuda.is_available",
... |
slamajakub/visnav-py | [
"872363a8f115ae2dc8966f7c890891a41cb60b16"
] | [
"src/api-server.py"
] | [
"import math\r\nimport socket\r\nimport json\r\nfrom datetime import datetime\r\nfrom json import JSONDecodeError\r\n\r\nimport cv2\r\nimport numpy as np\r\nimport quaternion\r\nimport sys\r\nimport pytz\r\n\r\nfrom algo import tools\r\nfrom algo.base import AlgorithmBase\r\nfrom algo.keypoint import KeypointAlgo\r... | [
[
"numpy.any",
"numpy.quaternion",
"numpy.array",
"numpy.isnan"
]
] |
drammock/python-quantities | [
"6ee561e918c00fec773481fa9a2c73e8e106f061"
] | [
"quantities/tests/test_methods.py"
] | [
"# -*- coding: utf-8 -*-\n\nfrom .. import units as pq\nfrom .common import TestCase\nimport numpy as np\n\nclass TestQuantityMethods(TestCase):\n\n def setUp(self):\n self.q = [[1, 2], [3, 4]] * pq.m\n\n def test_tolist(self):\n self.assertEqual(self.q.tolist(), [[1*pq.m, 2*pq.m], [3*pq.m, 4*pq... | [
[
"numpy.empty_like",
"numpy.append"
]
] |
dp-cont/dp-cont | [
"193bea06c1861645f16bd080e45eb0f282e8469a"
] | [
"percentile_estimator/smooth.py"
] | [
"import math\n\nimport pickle\nfrom os import path\nimport numpy as np\nfrom scipy.stats import laplace\nfrom scipy.stats import norm\n\nimport primitive\nfrom percentile_estimator.estimator import Estimator\n\n\nclass Smooth(Estimator):\n\n def __init__(self, users, args):\n super(Smooth, self).__init__(... | [
[
"scipy.stats.laplace.rvs",
"numpy.copy",
"scipy.stats.norm.rvs"
]
] |
traveller59/torchplus | [
"726df6b9f31522c22be02cd29a5608f597042355"
] | [
"train/optim.py"
] | [
"from collections import defaultdict, Iterable\n\nimport torch\nfrom copy import deepcopy\nfrom itertools import chain\nfrom torch.autograd import Variable\n\nrequired = object()\n\n\ndef param_fp32_copy(params):\n param_copy = [\n param.clone().type(torch.cuda.FloatTensor).detach() for param in params\n ... | [
[
"torch.isnan"
]
] |
mia-jingyi/simglucose | [
"a90bd8750fce362be91668ed839b3b252bc0d58d"
] | [
"simglucose/patient/t1dpatient.py"
] | [
"from .base import Patient\nimport numpy as np\nfrom scipy.integrate import ode, solve_ivp\nimport pandas as pd\nfrom collections import namedtuple\nfrom typing import NamedTuple\nimport logging\n\nlogger = logging.getLogger(__name__)\n\n\nclass Action(NamedTuple): # This plays nicer with serialization\n CHO: f... | [
[
"numpy.array",
"numpy.zeros",
"numpy.random.RandomState",
"matplotlib.pyplot.subplots",
"numpy.tanh",
"matplotlib.pyplot.show",
"pandas.read_csv",
"scipy.integrate.ode",
"numpy.diag"
]
] |
SAMMiCA/robot_home_service | [
"fa1a49346b38e6f82e7cf0c7f9c09349d956c972"
] | [
"scene_graph/test_visualize.py"
] | [
"import vispy\nfrom vispy.scene import visuals, SceneCanvas\nimport numpy as np\nfrom matplotlib import pyplot as plt\nimport cv2\nimport os\nimport time\n\nfrom PyQt5.QtWidgets import *\nfrom PyQt5.QtGui import *\nfrom PyQt5.QtCore import *\n\nfrom torch.multiprocessing import Process, Queue\nimport torch.multipro... | [
[
"numpy.array",
"numpy.matmul",
"matplotlib.pyplot.get_cmap",
"matplotlib.pyplot.cm.ScalarMappable",
"numpy.append",
"numpy.linspace",
"numpy.linalg.inv"
]
] |
KexinFeng/5523-data-mining | [
"0d812ba8d67c5533ed874e3e66148a8b87b427c1"
] | [
"csci5523-decision-tree-and-random-forest/dtinduce.py"
] | [
"import numpy as np\nimport pandas as pd\nimport time\n# from TreeNode import TreeNode\n# from Serialize import Serializer, DeSerializer\nimport csv\nimport sys\n\ndef Serializer(Node, fp):\n\n if Node.isleaf:\n output = Node.label\n writer = csv.writer(fp)\n writer.writerow([output])\n ... | [
[
"numpy.array",
"numpy.delete",
"numpy.zeros",
"numpy.sum",
"numpy.where",
"numpy.arange",
"numpy.argmax",
"numpy.argsort",
"numpy.argwhere",
"numpy.all",
"numpy.power",
"pandas.read_csv"
]
] |
nghoanglong/text2sql-lgesql | [
"7526d8a771bea8eb87f936cfb21050badb4c290f"
] | [
"preprocess/common_utils.py"
] | [
"#coding=utf8\nimport os, sqlite3\nimport numpy as np\nfrom resources import vncorenlp\nfrom nltk.corpus import stopwords\nfrom itertools import product, combinations\nfrom utils.constants import MAX_RELATIVE_DIST\n\ndef is_number(s):\n try:\n float(s)\n return True\n except ValueError:\n ... | [
[
"numpy.concatenate"
]
] |
hanneshapke/similarity | [
"632c743ba817e7a49870e5d242eace9b2d248496"
] | [
"tests/visualization/test_neighbors_viz.py"
] | [
"from unittest import mock\nimport pytest\n\nimport tensorflow as tf\nfrom tensorflow_similarity.visualization import viz_neigbors_imgs\nfrom tensorflow_similarity.visualization.neighbors_viz import _get_class_label\nfrom tensorflow_similarity.types import Lookup\n\n\nclass TestGetClassLabel():\n\n @pytest.fixtu... | [
[
"tensorflow.constant"
]
] |
hooloong/My_TensorFlow | [
"ef115989035b9ae14938dca47c0814b0d16dd6ba"
] | [
"Test05_DQN_Game/Test05_DQN_train.py"
] | [
"import pygame\nimport random\nfrom pygame.locals import *\nimport numpy as np\nfrom collections import deque\nimport tensorflow as tf # http://blog.topspeedsnail.com/archives/10116\nimport cv2 # http://blog.topspeedsnail.com/archives/4755\n\nBLACK = (0, 0, 0)\nWHITE = (255, 255, 255)\n\nSCREEN_SIZE = [320, 400]\... | [
[
"numpy.max",
"tensorflow.multiply",
"tensorflow.zeros",
"tensorflow.train.AdamOptimizer",
"tensorflow.nn.conv2d",
"tensorflow.initialize_all_variables",
"numpy.zeros",
"numpy.reshape",
"tensorflow.matmul",
"tensorflow.Session",
"tensorflow.train.Saver",
"tensorflow.... |
Pandinosaurus/CutMix-PyTorch | [
"1bc006b5f40c284a6bf4ef881906e2109a27ef6c"
] | [
"utils.py"
] | [
"# original code: https://github.com/eladhoffer/convNet.pytorch/blob/master/preprocess.py\n\nimport torch\nimport random\n\n__all__ = [\"Compose\", \"Lighting\", \"ColorJitter\"]\n\n\nclass Compose(object):\n \"\"\"Composes several transforms together.\n\n Args:\n transforms (list of ``Transform`` obje... | [
[
"torch.Tensor"
]
] |
FieldMrFive/ray | [
"a22d6ef95594a3b95fac5b2eb17f7f21be2888e8"
] | [
"python/ray/rllib/optimizers/async_samples_optimizer.py"
] | [
"\"\"\"Implements the IMPALA architecture.\n\nhttps://arxiv.org/abs/1802.01561\"\"\"\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport logging\nimport numpy as np\nimport random\nimport time\nimport threading\n\nfrom six.moves import queue\n\... | [
[
"numpy.ceil",
"tensorflow.global_variables_initializer",
"tensorflow.variable_scope",
"tensorflow.train.AdamOptimizer"
]
] |
vsewall/aphantasia | [
"f1e6297dd3412c4798531766b966c104775db62e"
] | [
"depth/adabins/infer.py"
] | [
"import os\nimport sys\nimport glob\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nfrom PIL import Image\nfrom torchvision import transforms\nfrom tqdm import tqdm\n\nfrom . import model_io\nfrom . import utils\nfrom .models import UnetAdaptiveBins\n\ndef _is_pil_image(img):\n return isinstance(img,... | [
[
"numpy.isinf",
"numpy.array",
"numpy.isnan",
"numpy.asarray",
"torch.no_grad",
"torch.from_numpy",
"matplotlib.pyplot.show",
"torch.Tensor"
]
] |
idaholab/SR2ML | [
"2aa5e0be02786523cdeaf898d42411a7068d30b7"
] | [
"src/FTModel.py"
] | [
"# Copyright 2020, Battelle Energy Alliance, LLC\n# ALL RIGHTS RESERVED\n\"\"\"\nCreated on April 30, 2018\n\n@author: mandd\n\"\"\"\n\n#External Modules---------------------------------------------------------------\nimport numpy as np\n#External Modules End---------------------------------------------------------... | [
[
"numpy.asarray"
]
] |
ppizarror/grafica | [
"a5e0c6455d390ffbb2e88d56bf8941aafaf013d1"
] | [
"examples/ex_camera.py"
] | [
"# coding=utf-8\n\"\"\"\nCamera example.\n\"\"\"\n\nimport glfw\nfrom OpenGL.GL import *\nimport numpy as np\nimport sys\nimport os.path\n\nsys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))\nimport grafica.transformations as tr\nimport grafica.basic_shapes as bs\nimport grafica.easy_shade... | [
[
"numpy.concatenate",
"numpy.array",
"numpy.sin",
"numpy.linalg.norm",
"numpy.asarray",
"numpy.reshape",
"numpy.zeros",
"numpy.tile",
"numpy.cos",
"numpy.cross"
]
] |
grburgess/pyspi | [
"084884c3fd06a09ef3a850cd19e7b751d7929e59"
] | [
"pyspi/test/test_spipointing.py"
] | [
"# Test spi pointing\n\ndef test_spipointing():\n from pyspi.utils.response.spi_pointing import SPIPointing\n from pyspi.io.package_data import get_path_of_external_data_dir\n from pyspi.io.get_files import get_files\n import os\n import numpy as np\n \n pointing_id = 169600130010\n get_file... | [
[
"numpy.sum"
]
] |
elitonfilho/segsr | [
"74ee5a4794f0894cffbb08f696f601b7d914513c"
] | [
"utils/utils.py"
] | [
"from pathlib import Path\nfrom shutil import copy\nimport torch\nimport pandas as pd\nfrom datetime import datetime\n\n\ndef create_pretrain_folder(args, cfg):\n if cfg.TRAIN.model_save_path:\n path_save_model = Path(cfg.TRAIN.model_save_path).resolve()\n if path_save_model.exists():\n ... | [
[
"pandas.DataFrame",
"torch.save"
]
] |
ThatGuyKev/facebook-chat-analysis | [
"74f1ce3f3dc83c9dd587e8df0b7e77f9580cd2d0"
] | [
"start-analysis.py"
] | [
"from jsonutilities import handleFile\r\nimport sys\r\nimport matplotlib.pyplot as plt\r\nimport numpy as np\r\nimport nltk\r\nfrom nltk.sentiment.vader import SentimentIntensityAnalyzer\r\nsentiment_analyzer = SentimentIntensityAnalyzer()\r\n\r\n\r\ndef analyze(chat):\r\n # Use jsonutilites for clean up\r\n ... | [
[
"matplotlib.pyplot.show",
"matplotlib.pyplot.setp",
"numpy.sum",
"matplotlib.pyplot.subplots"
]
] |
Arjitg450/Machine-Learning-Case-Studies | [
"497d2e7e5cd66750d2539a8e2b9a07f27df2aea3"
] | [
"22. Neural Networks from Scratch/perceptron_and.py"
] | [
"from perceptron.perceptron import Perceptron\nimport numpy as np\n\nX = np.array([[0,0],[0,1],[1,0],[1,1]])\ny = np.array([[0],[0],[0],[1]])\n\nprint(\"[INFO] training perceptron...\")\n\np= Perceptron(X.shape[1], alpha=0.1)\np.fit(X,y, epochs=20)\nprint(\"[INFO[ testing perceptron...\")\nfor (x, target) in zip(X,... | [
[
"numpy.array"
]
] |
lichao312214129/easylearn | [
"102ff264a7672b246244a489e0fbde8e3897c52f"
] | [
"eslearn/machine_learning/clustering/_base_clustering.py"
] | [
"#!/usr/bin/env python \n# -*- coding: utf-8 -*-\n\"\"\"\nThis class is the base class for classification\n\"\"\"\n\nimport numpy as np\nimport time\nfrom sklearn.preprocessing import StandardScaler, MinMaxScaler\nfrom sklearn.model_selection import GridSearchCV, RandomizedSearchCV\nfrom sklearn.model_selection imp... | [
[
"sklearn.metrics.make_scorer",
"sklearn.model_selection.StratifiedKFold",
"numpy.zeros",
"sklearn.preprocessing.StandardScaler"
]
] |
guyk1971/stable-baselines | [
"ac7a1f3c32851577d5a4fc76e2c42760b9379634"
] | [
"my_zoo/train_zoo.py"
] | [
"import os\nimport time\nimport difflib\nimport argparse\nimport importlib\nfrom pprint import pprint\nfrom collections import OrderedDict\n\n\nimport gym\nimport numpy as np\nimport yaml\n# Optional dependencies\ntry:\n import pybullet_envs\nexcept ImportError:\n pybullet_envs = None\ntry:\n import highwa... | [
[
"tensorflow.autograph.set_verbosity",
"numpy.ones",
"numpy.zeros",
"tensorflow.get_logger"
]
] |
andreaeverett/birth-weights | [
"84ba6f1e5c6481e5a41d10f556ef10f45fc3d22a"
] | [
"1_Import_Data.py"
] | [
"#This file imports National Vital Statistics births data for 2014 and 2015 and\n# transforms from fixed-width into CSV format\n\nimport pandas as pd\n\n#Positions corresponding to variables in the fixed-width text files\n\npositions = [(8,12), (13,14), (18,22), (22,23), (31,32), (32,33), (49,50),\n (72... | [
[
"pandas.read_csv",
"pandas.concat"
]
] |
williamlidberg/Remnants-of-charcoal-kilns | [
"690b2aa0ef31904d34613db6e5824f5e4c78b3cb"
] | [
"train.py"
] | [
"import utils.generator\nimport utils.unet\nimport utils.loss\nimport utils.metric\nimport tensorflow as tf\nimport numpy as np\nimport random\n\nimport os\n\n\ndef write_dataset(selected, log_path, name):\n with open(os.path.join(log_path, name), 'w') as f:\n for path in selected:\n f.write('{... | [
[
"tensorflow.keras.callbacks.TensorBoard",
"numpy.random.seed",
"tensorflow.random.set_seed",
"tensorflow.keras.metrics.Recall",
"tensorflow.keras.callbacks.ReduceLROnPlateau"
]
] |
AlchemicalChest/gaussian-process-svi | [
"56111e9a125cdd322473685b1b7ef875d584653e"
] | [
"GPSVI/test/testquad.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Tue Apr 21 11:09:51 2015\n\n@author: Ziang\n\"\"\"\n#from numpy.polynomial.hermite import hermval\n#from numpy.polynomial.hermite import hermgauss\n\nfrom numpy import inf\n#from math import factorial\nfrom math import sqrt\nfrom math import pi\nfrom sympy import mpmath\... | [
[
"scipy.integrate.quad"
]
] |
JimCurryWang/Deep-Learning-Jot | [
"b72e36b54089f7a8b92409b69b7187e84103f76e"
] | [
"RNN/Embedding_RNN.py"
] | [
"import torch\nimport torchvision\nimport torch.nn.functional as F\nimport torchvision.datasets as datasets\nimport torchvision.transforms as transforms \nfrom torch import optim \nfrom torch import nn \nfrom torch.utils.data import DataLoader\nfrom tqdm import tqdm\nimport numpy as np\n\n# Set device\ndevice = t... | [
[
"torch.nn.Linear",
"torch.rand",
"torch.nn.Embedding.from_pretrained",
"torch.nn.Embedding",
"torch.nn.LSTM",
"torch.randint",
"torch.cuda.is_available",
"torch.nn.CrossEntropyLoss"
]
] |
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