repo_name stringlengths 8 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
kmshin1397/kowalski | [
"2aaa4ed7a3b7b400e95227b63c976ce18f7e18eb"
] | [
"kowalski/alert_broker_ztf.py"
] | [
"import argparse\nfrom ast import literal_eval\nfrom astropy.io import fits\nfrom astropy.visualization import (\n AsymmetricPercentileInterval,\n LinearStretch,\n LogStretch,\n ImageNormalize,\n)\nimport base64\nfrom bson.json_util import loads\nimport confluent_kafka\nfrom copy import deepcopy\nimport... | [
[
"numpy.log",
"numpy.nan_to_num",
"numpy.float64",
"numpy.isfinite",
"matplotlib.pyplot.figure",
"tensorflow.config.optimizer.set_jit",
"matplotlib.pyplot.savefig",
"numpy.abs",
"numpy.expand_dims",
"numpy.isnan",
"numpy.zeros",
"numpy.float32",
"pandas.concat",
... |
eliaskousk/FATE | [
"242e47d6ae439a3b69ecb1610cb370b29b024413"
] | [
"python/federatedml/ensemble/test/gh_packing_compressing_test.py"
] | [
"#\n# Copyright 2019 The FATE 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 r... | [
[
"numpy.random.random",
"numpy.random.randint",
"numpy.random.seed",
"numpy.zeros"
]
] |
center3d/MLW | [
"192cc991df61bd8991a51702a53df6a09448d4f7"
] | [
"zmk/nyokaserver/nyokaUtilities.py"
] | [
"# nyokaUtilities.py\nimport numpy as np\nfrom random import choice\nfrom string import ascii_uppercase\nimport copy,json\nimport ast,pathlib\nimport traceback\nfrom nyoka import PMML43Ext as ny\nglobal MEMORY_DICT_ARCHITECTURE,MEMORY_OF_LAYERS\n\nsettingFilePath='./settingFiles/'\nsavedModels='./SavedModels/'\nMEM... | [
[
"numpy.prod"
]
] |
h8907283/dm_control | [
"4e1a35595124742015ae0c7a829e099a5aa100f5"
] | [
"dm_control/suite/quadruped.py"
] | [
"# Copyright 2019 The dm_control Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law... | [
[
"numpy.vstack",
"numpy.arcsinh",
"numpy.in1d",
"numpy.asarray",
"numpy.cos",
"numpy.hstack",
"numpy.nonzero",
"numpy.sqrt",
"numpy.sin",
"numpy.linalg.norm",
"numpy.tanh",
"numpy.deg2rad"
]
] |
ProSeCo-Planning/ros_proseco_planning | [
"484beedb01e5faafa7e03e95bc88b1e4f969285e"
] | [
"python/proseco/evaluator/head.py"
] | [
"import os\nimport copy\nimport ray\nimport argparse\nimport tqdm\nimport logging\nimport pandas as pd\nfrom pathlib import Path\nfrom datetime import datetime\nimport shutil\nimport uuid as uu_id\nfrom typing import ClassVar, Dict, Generator, Tuple, List, Any\n\nfrom proseco.evaluator.remote import run\nfrom prose... | [
[
"pandas.concat"
]
] |
tzhhhh123/Stark | [
"ba59f9596b06bc687d726f991e1e7fce8af6b5a5"
] | [
"external/AR/pytracking/analysis/plot_results.py"
] | [
"import tikzplotlib\nimport matplotlib\nimport matplotlib.pyplot as plt\nimport os\nimport torch\nimport pickle\nimport json\nfrom pytracking.evaluation.environment import env_settings\nfrom pytracking.analysis.extract_results import extract_results\n\n\ndef get_plot_draw_styles():\n plot_draw_style = [{'color':... | [
[
"torch.stack",
"matplotlib.pyplot.draw",
"torch.tensor",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.show",
"matplotlib.rcParams.update",
"torch.arange"
]
] |
alex9954/CenterNet-better | [
"41f2c402ecb089f563fae7201143227492f64cc6"
] | [
"dl_lib/network/generator/centernet_gt.py"
] | [
"#!/usr/bin/python3\n# -*- coding:utf-8 -*-\n# author: wangfeng19950315@163.com\n\nimport numpy as np\nimport torch\n\n\nclass CenterNetGT(object):\n\n @staticmethod\n def generate(config, batched_input):\n box_scale = 1 / config.MODEL.CENTERNET.DOWN_SCALE\n num_classes = config.MODEL.CENTERNET.... | [
[
"torch.min",
"torch.stack",
"torch.sort",
"torch.zeros_like",
"torch.sqrt",
"numpy.exp",
"torch.from_numpy",
"torch.max",
"torch.zeros",
"numpy.finfo",
"torch.clamp_min",
"torch.Tensor"
]
] |
ToucanToco/toucan-connectors | [
"ca7e551f728bb5350d550eb099cab569c9238550"
] | [
"tests/mysql/test_mysql.py"
] | [
"import collections\n\nimport numpy as np\nimport pandas as pd\nimport pymysql\nimport pytest\nfrom pydantic import ValidationError\nfrom pytest_mock import MockerFixture\n\nfrom toucan_connectors.common import ConnectorStatus\nfrom toucan_connectors.mysql.mysql_connector import MySQLConnector, MySQLDataSource, han... | [
[
"pandas.DataFrame",
"pandas.Timestamp",
"numpy.isnan"
]
] |
xiaollz/PytorchSSD | [
"8286027b3216a53ae336b0d243d9352572de5350"
] | [
"ssds_train.py"
] | [
"from __future__ import print_function\nimport numpy as np\nimport os\nimport sys\nimport cv2\nimport random\nimport pickle\n\nimport torch\nimport torch.backends.cudnn as cudnn\nfrom torch.autograd import Variable\nimport torch.optim as optim\nfrom torch.optim import lr_scheduler\nimport torch.utils.data as data\n... | [
[
"torch.optim.lr_scheduler.CosineAnnealingLR",
"torch.optim.lr_scheduler.ExponentialLR",
"torch.optim.SGD",
"torch.load",
"numpy.empty",
"torch.no_grad",
"torch.cuda.device_count",
"torch.optim.Adam",
"numpy.hstack",
"torch.cuda.is_available",
"torch.optim.lr_scheduler.M... |
ktaebum/npex_tvm | [
"b7c0f12bbc3779f9041ff129019134a055b2dcd4"
] | [
"topi/tests/python/test_topi_transform.py"
] | [
"# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); y... | [
[
"numpy.take",
"numpy.asarray",
"numpy.size",
"numpy.stack",
"numpy.transpose",
"numpy.reshape",
"numpy.expand_dims",
"numpy.where",
"numpy.random.uniform",
"numpy.tile",
"numpy.zeros",
"numpy.repeat",
"numpy.arange",
"numpy.prod",
"numpy.array",
"num... |
algchyhao/WNTR | [
"dd4db188a8641a4da16cf80a1557c908fa48c17d"
] | [
"wntr/scenario/earthquake.py"
] | [
"\"\"\"\nThe wntr.scenario.earthquake module includes methods to\ndefine an earthquake location, magnitude and depth, and\ncompute PGA, PGV, and repair rate.\n\"\"\"\nfrom __future__ import print_function\nimport wntr\nimport numpy as np\nimport pandas as pd\nfrom scipy.spatial import distance\n\nclass Earthquake(o... | [
[
"pandas.Series",
"scipy.spatial.distance.euclidean",
"numpy.exp",
"numpy.log",
"numpy.power",
"numpy.log10"
]
] |
reiserm/Xana | [
"056f2bf2da67ba0dade49bb4b56ea2afd42b36bd"
] | [
"Xana/SaxsAna/phicorr.py"
] | [
"import numpy as np\nimport numpy as np\nfrom matplotlib import pyplot as plt\nfrom scipy import fftpack as fp\n\n\ndef cross_correlation(q):\n ind = np.argmin(np.abs(q - 0.6))\n inten = I2d[:, ind]\n print(\"Found %d angles\" % len(inten))\n phi = chi.copy()\n\n N = len(inten)\n lags = np.arange(... | [
[
"matplotlib.pyplot.grid",
"scipy.fftpack.fft",
"matplotlib.pyplot.figure",
"numpy.abs",
"numpy.correlate",
"numpy.arange",
"scipy.fftpack.fftfreq",
"scipy.fftpack.fftshift",
"numpy.absolute",
"matplotlib.pyplot.plot",
"numpy.linspace"
]
] |
KougatCylinder5/CAPT | [
"3a4ad2ef73529ae0ce85937070aa15ffc9a3ac8a"
] | [
"old/MoCap V0.1.0.py"
] | [
"#Cory Mavis\n\nimport cv2\nimport numpy\nimport sys\nimport subprocess\nimport os\nimport statistics\ncv2.namedWindow(\"LiveFeed\")\n\ndef callback (event,x,y,flags,params):\n global blueMark #update the position of the blue point\n global greenMark #update the position of the green point\n global redMark... | [
[
"numpy.ones",
"numpy.arccos",
"numpy.array",
"numpy.dot",
"numpy.linalg.norm"
]
] |
Code-Papers/MAIPO | [
"2e5b911c7009ac9ad09e7129c7ef0992f2690d04"
] | [
"happo/trainer/happo.py"
] | [
"import numpy as np\nimport random\nfrom numpy.core.fromnumeric import clip\nfrom numpy.lib.shape_base import vsplit\nimport tensorflow as tf\nfrom tensorflow.python.ops.gen_linalg_ops import self_adjoint_eig_eager_fallback\nimport common.tf_util as U\n\nfrom common.distributions import make_pdtype\nimport tensorfl... | [
[
"tensorflow.placeholder",
"tensorflow.train.AdamOptimizer",
"tensorflow.variable_scope",
"tensorflow.exp",
"tensorflow.square",
"tensorflow.concat",
"tensorflow.clip_by_value",
"numpy.array",
"tensorflow.maximum",
"numpy.minimum"
]
] |
holyYodu/mmpose | [
"c10225e61da2700b3cd309a6a6234c6280248a0b"
] | [
"tools/pytorch2onnx.py"
] | [
"import argparse\n\nimport mmcv\nimport numpy as np\nimport torch\nfrom mmcv.runner import load_checkpoint\n\nfrom mmpose.models import build_posenet\n\ntry:\n import onnx\n import onnxruntime as rt\nexcept ImportError as e:\n raise ImportError(f'Please install onnx and onnxruntime first. {e}')\n\ntry:\n ... | [
[
"torch.randn",
"numpy.allclose",
"torch.onnx.export",
"torch.nn.BatchNorm3d"
]
] |
ludomitch/ml-agents | [
"481e2af4a96377c257a6aa5559d8b7230c432bad"
] | [
"ml-agents/mlagents/trainers/tests/test_policy.py"
] | [
"from mlagents.trainers.policy.tf_policy import TFPolicy\nfrom mlagents_envs.base_env import BatchedStepResult, AgentGroupSpec\nfrom mlagents.trainers.action_info import ActionInfo\nfrom unittest.mock import MagicMock\nimport numpy as np\n\n\ndef basic_mock_brain():\n mock_brain = MagicMock()\n mock_brain.vec... | [
[
"numpy.array"
]
] |
rasimuvaikas/stanza | [
"21793519a531b0e9d7151e42d180d97785c9a5b8"
] | [
"stanza/models/lemmatizer.py"
] | [
"\"\"\"\nEntry point for training and evaluating a lemmatizer.\n\nThis lemmatizer combines a neural sequence-to-sequence architecture with an `edit` classifier \nand two dictionaries to produce robust lemmas from word forms.\nFor details please refer to paper: https://nlp.stanford.edu/pubs/qi2018universal.pdf.\n\"\... | [
[
"torch.cuda.manual_seed",
"torch.manual_seed",
"numpy.random.seed",
"numpy.argmax",
"torch.cuda.is_available"
]
] |
sherrardTr4129/RealSense-BNO055-Pose-Estimation | [
"ca48f11ae53549b2782a7848ee5091e1ce8d30ff"
] | [
"kinect_vision_target_cap/src/find_obj_xyz.py"
] | [
"#!/usr/bin/env python\n\n# Author: Trevor Sherrard\n# Course: Directed Research\n# Since: 02/06/2021\n# Description: This script extracts synced RGB and Depth frames from \n# the kinect and attempts to locate a given vision target.\n# if the vision target is located, the XYZ coordinates a... | [
[
"numpy.ones"
]
] |
BXuan694/basemodel-pytorch | [
"a36c96904580be902e323db17eebbe2ea1f54176"
] | [
"resnet.py"
] | [
"'''ResNet in PyTorch.\n\nFor Pre-activation ResNet, see 'preact_resnet.py'.\n\nReference:\n[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun\n Deep Residual Learning for Image Recognition. arXiv:1512.03385\n'''\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\n\nclass BasicBlock(nn.Mo... | [
[
"torch.nn.BatchNorm2d",
"torch.nn.Linear",
"torch.nn.functional.avg_pool2d",
"torch.nn.functional.relu",
"torch.nn.Conv2d",
"torch.nn.Sequential"
]
] |
charlesCXK/PixelSSL | [
"2e85e12c1db5b24206bfbbf2d7f6348ae82b2105"
] | [
"task/sseg/criterion.py"
] | [
"import time\nimport numpy as np\n\nimport torch\nimport torch.nn as nn\n\nimport pixelssl\n\n\ndef add_parser_arguments(parser):\n pixelssl.criterion_template.add_parser_arguments(parser)\n\n\ndef deeplab_criterion():\n return DeepLabCriterion\n\n\nclass DeepLabCriterion(pixelssl.criterion_template.TaskCrite... | [
[
"torch.mean",
"torch.nn.CrossEntropyLoss"
]
] |
Balaras-Group/flowX | [
"29c1d6209abbfab553997b557794e4d7b06a09a8"
] | [
"flowx/io/_interface/_plot_vector.py"
] | [
"\"\"\"Module with I/O functions.\"\"\"\n\nimport numpy\nfrom matplotlib import pyplot\n\n\ndef plot_vector(gridx, gridy, ivar):\n \"\"\"Plot the vector for given x, y data.\n\n Arguments\n ---------\n gridx : Grid object\n Grid containing the data on x-face.\n gridy : Grid object\n Gri... | [
[
"matplotlib.pyplot.quiver",
"matplotlib.pyplot.rc",
"matplotlib.pyplot.figure",
"matplotlib.pyplot.axis",
"matplotlib.pyplot.xlim",
"matplotlib.pyplot.show",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.ylim",
"numpy.meshgrid",
"matplotlib.pyplot.xlabel"
]
] |
iolloj/jax | [
"1b80feea6acf758fd9dc3e616e8efcb8db831ce9"
] | [
"benchmarks/api_benchmark.py"
] | [
"# Copyright 2020 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# https://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed ... | [
[
"numpy.ones"
]
] |
Puneet-G/Impersonator-NNProject | [
"980cfc260feebbc873b4150326791340f6526c42"
] | [
"thirdparty/his_evaluators/tests/metric_test.py"
] | [
"import torch\nimport numpy as np\nimport unittest\n\n\nfrom his_evaluators.metrics import register_metrics\n\n\nDEVICE = torch.device(\"cuda:0\")\n\n\nclass MetricTestCase(unittest.TestCase):\n\n @classmethod\n def setUpClass(cls) -> None:\n cls.paired_metric_dict = register_metrics(types=(\"ssim\", \... | [
[
"torch.device",
"numpy.random.rand",
"numpy.copy"
]
] |
elcolie/sklearn-onnx | [
"004fa39cb995ada0cde232ae8e30341018f450ac",
"004fa39cb995ada0cde232ae8e30341018f450ac"
] | [
"docs/examples/plot_custom_model.py",
"tests/test_sklearn_double_tensor_type_reg.py"
] | [
"# Copyright (c) Microsoft Corporation. All rights reserved.\n# Licensed under the MIT License.\n\n\"\"\"\n.. _l-custom-model:\n\nWrite your own converter for your own model\n===========================================\n\nIt might happen that you implemented your own model\nand there is obviously no existing conver... | [
[
"matplotlib.pyplot.imread",
"sklearn.base.BaseEstimator.__init__",
"numpy.sum",
"sklearn.base.clone",
"sklearn.metrics.mean_squared_error",
"sklearn.neighbors.KNeighborsRegressor",
"matplotlib.offsetbox.OffsetImage",
"matplotlib.pyplot.subplots",
"sklearn.manifold.TSNE",
"m... |
c-hydro/door | [
"de6ebcbe69289425ae13d85286dcd8da270e787e"
] | [
"gefs/door_downloader_nwp_gefs_nomads.py"
] | [
"#!/usr/bin/python3\n\n\"\"\"\nHyDE Downloading Tool - NWP GEFS 0.25\n\n__date__ = '20210914'\n__version__ = '1.0.0'\n__author__ =\n 'Andrea Libertino (andrea.libertino@cimafoundation.org',\n 'Fabio Delogu (fabio.delogu@cimafoundation.org',\n__library__ = 'HyDE'\n\nGeneral command line:\npython3 hyde_... | [
[
"pandas.DatetimeIndex",
"numpy.unique",
"pandas.date_range",
"numpy.diff",
"pandas.Timestamp.today",
"numpy.asarray",
"pandas.Timedelta",
"numpy.arange",
"numpy.sqrt",
"numpy.concatenate",
"pandas.Timestamp",
"numpy.percentile"
]
] |
YibinXie/Pose_Estimation | [
"5849140bf842bf3aeaad75827f5e7b7f2999c9ee"
] | [
"lib/models/cpm.py"
] | [
"import torch.nn as nn\nimport torch.nn.functional as F\nimport torch\n\n\nclass CPM(nn.Module):\n def __init__(self, k):\n super(CPM, self).__init__()\n self.k = k\n self.pool_center = nn.AvgPool2d(kernel_size=9, stride=8, padding=1)\n self.conv1_stage1 = nn.Conv2d(3, 128, kernel_siz... | [
[
"torch.nn.MaxPool2d",
"torch.nn.Conv2d",
"torch.cat",
"torch.nn.AvgPool2d"
]
] |
AntixK/Neural-Blocks | [
"018a44bbb703fc848234b95a3e604576bd9df88f"
] | [
"blocks/convnormpool.py"
] | [
"import torch.nn as nn\nfrom NeuralBlocks.blocks.convnorm import ConvNorm\n\nclass ConvNormPool(nn.Module):\n \"\"\"\n A simply block consisting of a convolution layer,\n a normalization layer and a pooling\n layer. For example, this is the first block in the\n ResNet architecture.\n \"\"\"\n\n ... | [
[
"torch.nn.MaxPool2d",
"torch.nn.AvgPool2d"
]
] |
seikurou/LearningByCheating | [
"5e61f8624d79204b367479fab790b23d3af08b57"
] | [
"bird_view/utils/map_utils.py"
] | [
"# Source: https://github.com/carla-simulator/carla\n\n\nimport os\nimport datetime\nimport weakref\nimport math\n\nimport numpy as np\n\nimport carla\n\nfrom carla import TrafficLightState as tls\n\nimport pygame\n\nfrom pygame.locals import KMOD_CTRL\nfrom pygame.locals import KMOD_SHIFT\nfrom pygame.locals impor... | [
[
"numpy.float32",
"numpy.uint8"
]
] |
stjordanis/datar | [
"1218a549e2f0547c7b5a824ca6d9adf1bf96ba46"
] | [
"datar/base/trig_hb.py"
] | [
"\"\"\"Trigonometric and Hyperbolic Functions\"\"\"\n\nfrom typing import Callable\n\nimport numpy\nfrom pipda import register_func\n\nfrom ..core.contexts import Context\nfrom ..core.types import FloatOrIter\nfrom .constants import pi\n\n\ndef _register_trig_hb_func(name: str, np_name: str, doc: str) -> Callable:\... | [
[
"numpy.arctan2"
]
] |
Skywalker-official/Salary-vs-Experience-Prediction-SLR- | [
"e55167f29e91111f716bab2b6f7f23e6efb50827"
] | [
"simple_linear_regression_template.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Fri Dec 28 04:56:05 2018\n\n@author: skywalker\n\"\"\"\n\n# Importing the libraries\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport pandas as pd\n\n# Importing the dataset\ndataset = pd.read_csv('Salary_Data.csv')\nX = dataset.iloc[:,... | [
[
"pandas.read_csv",
"sklearn.linear_model.LinearRegression",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.title",
"matplotlib.pyplot.show",
"matplotlib.pyplot.ylabel",
"sklearn.model_selection.train_test_split",
"matplotlib.pyplot.scatter"
]
] |
maximecharpentierdata/link-prediction | [
"0c68ba7047b233c193541125711bdbf75b639907"
] | [
"src/metadata/features.py"
] | [
"from typing import List, Tuple\n\nimport networkx as nx\nimport numpy as np\nimport pandas as pd\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom tqdm import tqdm\n\n\n# Metadata based features\ndef metadata_features_extractor(\n graph: nx.Graph, samples: List[Tuple[str, str]], path: str\n) ->... | [
[
"numpy.sum",
"numpy.multiply",
"pandas.read_csv",
"sklearn.feature_extraction.text.TfidfVectorizer",
"numpy.array"
]
] |
ytirahc/mobile-dev-trek | [
"336602fbc6f91776b6a3e8b845dc2c87d5f4e592"
] | [
"posts/032016/BatchProcessingOpenCV.py"
] | [
"#!/usr/bin/env python\r\n#\r\n# -------------------------------------------------------------------------------------\r\n#\r\n# Copyright (c) 2016, ytirahc, www.mobiledevtrek.com\r\n# All rights reserved. Copyright holder cannot be held liable for any damages. \r\n# \r\n# Distributed under the Apache License (ASL)... | [
[
"numpy.sqrt",
"numpy.asarray",
"numpy.zeros"
]
] |
TU-Berlin-DIMA/ARTC | [
"07f945d1cf976e948c9f2687a8f1a68f79e66c0c"
] | [
"src/udsf/rtta.py"
] | [
"# Contains read interval (diameter) suggestion algorithms\n\nfrom util.PID import PID\nfrom util.pewma import Pewma\n\nfrom math import *\nimport numpy as np\n\n\nclass IntervalSuggestion:\n def __init__(self):\n pass\n\n def next(self, time, value, t_d):\n raise NotImplementedError(\"next(...)... | [
[
"numpy.linalg.norm",
"numpy.isnan"
]
] |
Brandon-HY-Lin/deep-reinforcement-learning | [
"d809851b6f98d1089379392d4687e2acaf1c0c79"
] | [
"p3_collab-compet/MADDPG/networks/maddpg_critic_version_1.py"
] | [
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\nfrom networks.network_utils import hidden_init\n\nclass MADDPGCriticVersion1(nn.Module):\n def __init__(self, num_agents, state_size, action_size, fcs1_units, fc2_units, seed=0):\n \"\"\"Initialize parameters and build model.\n ... | [
[
"torch.manual_seed",
"torch.nn.Linear",
"torch.cat"
]
] |
shahrukhx01/nnti_hindi_bengali_sentiment_analysis | [
"94cd0c335e5ff592a2b09f95adc183dac2b54d9f"
] | [
"src/task3/1_hindi_bengali_bilstm_sa_jdil/bengali_data.py"
] | [
"import pandas as pd\nimport numpy as np\nfrom bengali_preprocess import Preprocess\nimport logging\nimport torch\nfrom torch.utils.data import DataLoader\nfrom torch.utils.data.sampler import SubsetRandomSampler\nfrom bengali_dataset import BengaliDataset\nlogging.basicConfig(level=logging.INFO)\n\n\"\"\"\nFor loa... | [
[
"torch.utils.data.DataLoader",
"numpy.random.shuffle",
"pandas.read_csv",
"numpy.floor",
"numpy.random.seed",
"torch.utils.data.sampler.SubsetRandomSampler",
"torch.LongTensor"
]
] |
YangYunjia/cst-modeling3d | [
"4d997015afd12b9b049f21c4b6c3c350e9f6a91c"
] | [
"cst_modeling/foil.py"
] | [
"'''\r\nThis is a module containing functions to construct an airfoil\r\n'''\r\nimport copy\r\n\r\nimport numpy as np\r\nfrom numpy.linalg import lstsq\r\nfrom scipy import spatial\r\nfrom scipy.interpolate import interp1d\r\nfrom scipy.special import factorial\r\n\r\nfrom .naca import naca\r\n\r\nimport matplotlib... | [
[
"scipy.special.factorial",
"scipy.interpolate.interp1d",
"scipy.spatial.KDTree",
"numpy.ones_like",
"numpy.log",
"numpy.abs",
"numpy.cos",
"numpy.zeros",
"numpy.argmax",
"numpy.max",
"numpy.power",
"numpy.min",
"numpy.array",
"numpy.linalg.norm",
"numpy.... |
breno-aberle/rl-pong-project | [
"9dc0d12e4bbcdb2905d46f66e84fac6d70c7831d"
] | [
"training_ac.py"
] | [
"import torch\nimport gym\nimport numpy as np\nimport argparse\nimport cv2\nimport matplotlib.pyplot as plt\nfrom agent_ac import Agent, Policy\nfrom wimblepong import Wimblepong # import wimblepong-environment\nimport pandas as pd\nfrom PIL import Image\nfrom collections import deque\nimport os\nfrom torch.utils.... | [
[
"matplotlib.pyplot.legend",
"torch.load",
"matplotlib.pyplot.title",
"matplotlib.pyplot.show",
"torch.utils.tensorboard.SummaryWriter",
"matplotlib.pyplot.plot",
"numpy.array",
"numpy.mean"
]
] |
zhaotingchen/halomod | [
"0da45ac482f7d11cf3f6382bf19021e0344ecb7f"
] | [
"tests/test_integrate_corr.py"
] | [
"\"\"\"\nSimple tests for the integration scheme for ProjectedCF (thus far). Doesn't work\nas yet, since it tries to import the libraries from *this* folder, rather than\ninstallation (which doesn't work because the fortran code isn't installed.)\n\"\"\"\nimport inspect\nimport os\n\n#LOCATION = \"/\".join(os.path.... | [
[
"numpy.logspace"
]
] |
martius-lab/SMORL | [
"d23eda9d6a72baa3ab1f4d729b2e4f742e4dd9db"
] | [
"rlkit/rlkit/torch/sac/policies.py"
] | [
"import numpy as np\nimport torch\nfrom torch import nn\n\nfrom rlkit.policies.base import ExplorationPolicy, Policy\nfrom rlkit.torch.core import eval_np\nfrom rlkit.torch.distributions import TanhNormal\nfrom rlkit.torch.networks import Mlp\nfrom rlkit.torch.modules import Attention, preprocess_attention_input\n\... | [
[
"torch.nn.Linear",
"torch.no_grad",
"torch.exp",
"numpy.log",
"torch.tanh",
"torch.nn.init.zeros_",
"torch.nn.ReLU",
"torch.clamp"
]
] |
LeonardoESousa/xcharge | [
"89342cd6ad00d7a767ed8e058a3ee8037af5e52f"
] | [
"kmc/rates.py"
] | [
"\nimport numpy as np\nimport random\nfrom kmc.particles import *\n\nepsilon_vaccum = 8.854187e-12 #Permitivity in C/Vm\ne = -1.60217662e-19 #Electron charge \nkb = 8.617e-5 #Boltzmann constant\nhbar = 6.582e-16 #Reduced Planck's constant\n\n\n\n###RATES########... | [
[
"numpy.sum",
"numpy.empty",
"numpy.exp",
"numpy.copy",
"numpy.array",
"numpy.inner"
]
] |
nvzhou/DeepRec-1 | [
"d69d6a4c27434dbec8c295b98aefcd7912908d4b"
] | [
"modelzoo/DIEN/train.py"
] | [
"import time\nimport argparse\nimport tensorflow as tf\nimport os\nimport sys\nimport math\nimport collections\nfrom tensorflow.python.client import timeline\nimport json\n\nfrom tensorflow.python.ops import partitioned_variables\n\nfrom tensorflow.contrib.rnn.python.ops.core_rnn_cell import _Linear\nfrom tensorflo... | [
[
"tensorflow.data.TextLineDataset",
"tensorflow.summary.scalar",
"tensorflow.contrib.rnn.python.ops.core_rnn_cell._Linear",
"tensorflow.reshape",
"tensorflow.sparse.slice",
"tensorflow.logging.set_verbosity",
"tensorflow.sigmoid",
"tensorflow.clip_by_norm",
"tensorflow.round",
... |
aliayub7/CBCL_RGBD | [
"f80c23c5f4521eceef554ae765a06e329dfcd93d"
] | [
"depth_training.py"
] | [
"import numpy as np\nimport sys\nimport os\nimport time\nimport pickle\nfrom PIL import Image\nfrom copy import deepcopy\nimport cv2\nimport json\n\nimport torch\nimport torch.nn as nn\nimport torch.optim as optim\nimport torchvision\nimport torchvision.transforms as transforms\nfrom torch.autograd import Variable\... | [
[
"torch.utils.data.DataLoader",
"torch.nn.Linear",
"torch.manual_seed",
"numpy.random.seed",
"torch.nn.CrossEntropyLoss",
"torch.optim.lr_scheduler.MultiStepLR"
]
] |
DdeGeus/single-network-panoptic-segmentation | [
"891f13b8bca0f41e298900fe1c73bc3035caef5d"
] | [
"components/anchor_generator.py"
] | [
"import tensorflow as tf\nimport numpy as np\nfrom utils import box_utils\n\ndef generate(base_size,\n stride,\n scales,\n ratios,\n features_height,\n features_width,\n offset=None):\n \"\"\"\n\n Args:\n base_size: (height, width)\n st... | [
[
"tensorflow.stack",
"tensorflow.reshape",
"tensorflow.global_variables_initializer",
"tensorflow.meshgrid",
"tensorflow.range",
"tensorflow.sqrt",
"tensorflow.variable_scope",
"tensorflow.cast",
"tensorflow.convert_to_tensor",
"tensorflow.concat",
"tensorflow.ConfigProt... |
hanranCode/models | [
"9b7fef7bc5df0e0c76f6e579f2efce7752ab8fdf"
] | [
"research/object_detection/builders/post_processing_builder.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.divide"
]
] |
Aditibansal2603/fake-news-predictor | [
"9d4ba2ed95799ca63d0fa7f3f5ad0e6f09b9b215"
] | [
"app.py"
] | [
"import re\nimport pickle\nimport numpy as np\nimport pandas as pd\nimport torch\nfrom string import punctuation\nfrom nltk.stem import WordNetLemmatizer\nfrom nltk.tokenize import sent_tokenize, word_tokenize \nfrom sklearn.feature_extraction.text import CountVectorizer\nfrom flask import Flask, render_template, r... | [
[
"pandas.DataFrame",
"torch.Tensor",
"torch.max"
]
] |
maciek3000/GnuCash-Expenses-Vis | [
"ab0849f49b9b50f81798fc4c769b0aee6ae03b1e"
] | [
"flask_app/bkapp/bk_settings.py"
] | [
"import pandas as pd\nfrom datetime import datetime\n\nfrom bokeh.models.widgets import RadioGroup, CheckboxGroup, DateRangeSlider\nfrom bokeh.layouts import column\n\nfrom ..observer import Observer\nfrom .pandas_functions import create_combinations_of_sep_values\n\n\nclass Settings(object):\n \"\"\"Settings Ob... | [
[
"pandas.date_range"
]
] |
mikgroup/subtle_data_crimes | [
"210025d9cb8f92583f5f983be15af06b57cfea36"
] | [
"subtle_data_crimes/functions/zpad_funcs.py"
] | [
"\"\"\"\nThis module includes functions for experiments with the zero-padding preprocessing pipeline (subtle inverse crime I).\n\nEfrat Shimron (UC Berkeley, 2021).\n\"\"\"\n\nimport numpy as np\nfrom subtle_data_crimes.functions.utils import merge_multicoil_data, calc_pad_half\n\n##################################... | [
[
"numpy.sort",
"numpy.pad"
]
] |
SVAI/teamSTIR | [
"9f59f6e655a86bad4f917eb64ebd066401efc428"
] | [
"nf_dataset.py"
] | [
"# by @eickenberg\n\nimport torch\nimport numpy as np\n\nfrom patch_dataset import PatchDataset\nfrom torch.utils.data import ConcatDataset\n\nimport glob\nimport os\nimport nibabel\n\nclass ZipDataset(torch.utils.data.Dataset):\n\n def __init__(self, *datasets):\n self.datasets = datasets\n\n def __le... | [
[
"torch.utils.data.DataLoader",
"numpy.zeros",
"torch.utils.data.ConcatDataset",
"torch.utils.data.sampler.SubsetRandomSampler",
"numpy.stack",
"numpy.concatenate"
]
] |
ireneferfo/VanGoghColorz | [
"e41bd6a08cef6b2954c0e60613dd9ddd0fbc7045"
] | [
"get_colors.py"
] | [
"from collections import Counter\nfrom sklearn.cluster import KMeans\nimport cv2\n\nsizeX = 600\nsizeY = 400\n\ndef preprocess(raw):\n image = cv2.resize(raw, (sizeX, sizeY), interpolation = cv2.INTER_AREA) \n image = image.reshape(image.shape[0]*image.shape[1], 3)\n ... | [
[
"sklearn.cluster.KMeans"
]
] |
DaJansenGit/TEASER | [
"25edb5be547a750e3ad35c02a97949d2b45bce32"
] | [
"teaser/examples/e9_building_data_import_from_excel.py"
] | [
"# -*- coding: utf-8 -*-\n# @Author: Martin Raetz\n# @Date: 2019-02-19 18:41:56\n# @Last Modified by: Martin Rätz\n# @Last Modified time: 29.11.2019\n\n\"\"\"\nThis script demonstrates how a building can be generated by importing building\ndata from excel.\nAn appropriate example file with some building data is i... | [
[
"pandas.DataFrame",
"pandas.read_excel",
"numpy.array",
"numpy.where",
"pandas.isna"
]
] |
RDoerfel/mne-python | [
"46197d4926f4654dc1df2e0cabbfb26642fd884d"
] | [
"mne/io/write.py"
] | [
"# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>\n# Matti Hämäläinen <msh@nmr.mgh.harvard.edu>\n#\n# License: BSD (3-clause)\n\nfrom gzip import GzipFile\nimport os.path as op\nimport re\nimport time\nimport uuid\n\nimport numpy as np\nfrom scipy import linalg, sparse\n\nfrom .constants import ... | [
[
"numpy.array",
"numpy.empty",
"numpy.frombuffer",
"scipy.linalg.inv"
]
] |
rahmani15/dimod | [
"4e5918dbf35ad02d4ddcc022c8c94b47d91978bd"
] | [
"dimod/generators/constraints.py"
] | [
"# Copyright 2019 D-Wave Systems 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 ap... | [
[
"numpy.ones",
"numpy.fill_diagonal"
]
] |
kakainet/TexSet | [
"95c09724893a275b46a12d7b5ef2ae211203a2aa"
] | [
"dataset/bbox_gen.py"
] | [
"import cv2\nimport numpy as np\nimport argparse\nimport os\nimport json\n\n\ndef iswhite(p):\n return p[0] > 180 and p[1] > 180 and p[2] > 180\n\n\ndef convert(o):\n if isinstance(o, np.int64):\n return int(o)\n else:\n return o\n\n\ndef avgcolor(img):\n total = [0, 0, 0]\n ctr = 0\n ... | [
[
"numpy.zeros",
"numpy.random.random",
"numpy.max",
"numpy.min",
"numpy.array",
"numpy.where"
]
] |
zzx9636/cross-view | [
"9a7e874be607eefa7bd34934e274cc376e99f65f"
] | [
"train_argo.py"
] | [
"import os\nimport random\nimport time\nimport numpy as np\nimport torch\nimport torch.optim as optim\nfrom torch.utils.data import DataLoader\nfrom crossView import PVA_model, Argoverse\nfrom opt import get_args\nimport tqdm\nfrom datetime import datetime\n\n\nfrom utils import mean_IU, mean_precision\nimport wand... | [
[
"torch.utils.data.DataLoader",
"torch.cuda.manual_seed_all",
"torch.load",
"torch.cuda.manual_seed",
"torch.manual_seed",
"torch.no_grad",
"numpy.random.seed",
"torch.save",
"torch.optim.Adam",
"torch.cuda.is_available",
"numpy.array"
]
] |
elielhojman/tensorflow | [
"89e06304aad35bfb019a8c10f39fc1ead83e0f99"
] | [
"tensorflow/python/training/optimizer.py"
] | [
"# Copyright 2015 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.variable_scope.variable",
"tensorflow.python.framework.ops.colocate_with",
"tensorflow.python.framework.ops.convert_to_tensor_or_indexed_slices",
"tensorflow.python.training.checkpointable.base.CheckpointableReference",
"tensorflow.python.util.nest.flatten",
"tensorf... |
sayandipdutta/sphereface_pytorch | [
"762c458f9258a8d85210a92c2ae0548942e4e062"
] | [
"train.py"
] | [
"from __future__ import print_function\n\nimport torch\nimport torch.nn as nn\nimport torch.optim as optim\nimport torch.nn.functional as F\nfrom torch.autograd import Variable\ntorch.backends.cudnn.bencmark = True\n\nimport os,sys,cv2,random,datetime\nimport argparse\nimport numpy as np\n\nfrom dataset import Imag... | [
[
"numpy.zeros",
"torch.save",
"torch.autograd.Variable",
"torch.cuda.is_available",
"torch.from_numpy",
"torch.max",
"numpy.array"
]
] |
toolkmit/algotrading | [
"693f84b67d1b5bf07450f37295053f32550ac9cf"
] | [
"training/gpu_util_sampler.py"
] | [
"import gpustat\nimport numpy as np\nfrom keras.callbacks import Callback\n\n\nclass GPUUtilizationSampler(Callback):\n \"\"\"\n Measure GPU utilization at the end of 1% of all batches.\n (The more frequent the measuring, the slower and less accurate this callback becomes.)\n If GPU is not present, repo... | [
[
"numpy.random.rand"
]
] |
zczllw5/wclient | [
"d03943b7060150662123b8a7d3918f08fcfac25d"
] | [
"data_process/data_process_txt_to_csv.py"
] | [
"import csv\nimport pandas as pd\n\nwith open(\"1_3_connected.txt\") as fin, open(\"1_3_connected.csv\", 'w') as fout:\n o=csv.writer(fout)\n for line in fin:\n o.writerow(line.split())\n\ndf = pd.read_csv('1_3_connected.csv')\ndf1 = df.T\ndf1.to_csv('1_3_connected_output.csv')"
] | [
[
"pandas.read_csv"
]
] |
rlagywjd802/gym-sawyer | [
"385bbeafcccb61afb9099554f6a99b16f1f1a7c5"
] | [
"sawyer/garage/misc/logger.py"
] | [
"import base64\nfrom contextlib import contextmanager\nimport csv\nimport datetime\nfrom enum import Enum\nimport json\nimport os\nimport os.path as osp\nimport pickle\nimport sys\nimport types\n\nimport dateutil.tz\nimport joblib\nimport numpy as np\n\nfrom sawyer.garage.misc.autoargs import get_all_parameters\nfr... | [
[
"numpy.median",
"numpy.max",
"numpy.min",
"numpy.std",
"numpy.average"
]
] |
Seny-l/metaMIC | [
"eef5f151c49b1a306d143e3c524ea4bb90ad2efb"
] | [
"metaMIC/metaMIC.py"
] | [
"#!/usr/bin/env python\n\nimport pandas as pd\nimport numpy as np\nimport multiprocessing\nfrom optparse import OptionParser\nimport argparse\nimport operator\nimport os\nimport random\nimport sys\nimport time\nimport random\nimport subprocess\nimport pysam\nimport collections\nimport re\nimport math\nfrom Bio impo... | [
[
"numpy.zeros",
"numpy.argsort",
"scipy.stats.scoreatpercentile",
"numpy.percentile",
"pandas.merge",
"pandas.concat",
"numpy.array",
"sklearn.ensemble.IsolationForest",
"numpy.unique"
]
] |
kaanberke/AI-pipelines | [
"a60c6bbe0bc0bd441f6486fcc0d513acece7fed4"
] | [
"image_classification_pipeline/dataset_builder.py"
] | [
"# %% LIBRARIES\nimport glob\nimport os\nimport random\nfrom pathlib import Path\nfrom typing import Union\n\nimport cv2\nimport pandas as pd\nimport tensorflow as tf\nfrom matplotlib import pyplot as plt\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.utils import class_weight\nfrom tensorflow.... | [
[
"tensorflow.image.random_flip_up_down",
"tensorflow.image.rot90",
"tensorflow.image.random_flip_left_right",
"tensorflow.image.resize",
"matplotlib.pyplot.tight_layout",
"pandas.DataFrame",
"tensorflow.strings.to_number",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.show",
... |
ddlee-cn/SemIA | [
"46114d37b09df3675d4a8285bf9d3de5242758b6"
] | [
"test.py"
] | [
"import os\nfrom collections import OrderedDict\nimport torch\n\nfrom options.test_options import TestOptions\nfrom semia.model import SemIAModel\nfrom semia.dataset import TestImgDataset\nfrom util.visualizer import Visualizer\nfrom util.util import read_image, pil2tensor, pil2np, np2tensor\n\n\nif __name__ == \"_... | [
[
"torch.utils.data.DataLoader"
]
] |
Saoge123/ccgnet | [
"9359c642bd1faa4c15cae829615385761ebd8d92"
] | [
"BayesOpt/BayesOpt-GraphCNN.py"
] | [
"import sys\nimport os\nsys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))\nfrom ccgnet import experiment as exp\nfrom ccgnet import layers\nimport tensorflow as tf\nimport numpy as np\nimport time\nfrom sklearn.metrics import balanced_accuracy_score\nfrom ccgnet.Dataset import Dataset, D... | [
[
"tensorflow.compat.v1.layers.dropout",
"tensorflow.reset_default_graph",
"tensorflow.reshape"
]
] |
locuslab/e2e-model-learning | [
"2bf43848ac26e25321fea7bfeddf2a24135aa192"
] | [
"battery_storage/main.py"
] | [
"#!/usr/bin/env python3\n\nimport argparse\nimport setproctitle\n\nimport scipy.io as sio\nimport numpy as np\n\nimport torch\n\nimport importlib\ntry: import setGPU\nexcept ImportError: pass\n\nimport os\n\nimport model_classes, nets, calc_stats\nfrom constants import *\n\nfrom torch.utils.data import DataLoader, ... | [
[
"pandas.tseries.holiday.USFederalHolidayCalendar",
"numpy.save",
"pandas.read_csv",
"pandas.to_numeric",
"pandas.DataFrame",
"numpy.hstack",
"numpy.log",
"numpy.mean",
"numpy.std",
"torch.utils.data.TensorDataset",
"torch.Tensor"
]
] |
EStorm21/kornia | [
"b2bba7950d748ba0b8ce0cc68035a248799a1044"
] | [
"kornia/geometry/bbox.py"
] | [
"from typing import Tuple\n\nimport torch\n\nimport kornia\n\n\n@torch.jit.ignore\ndef validate_bbox(boxes: torch.Tensor) -> bool:\n \"\"\"Validate if a 2D bounding box usable or not. This function checks if the boxes are rectangular or not.\n\n Args:\n boxes: a tensor containing the coordinates of the... | [
[
"torch.ones_like",
"torch.stack",
"torch.Size",
"torch.tensor",
"torch.cat",
"torch.allclose"
]
] |
kshitijsriv/Computer-Vision-Spring-19 | [
"7e84726d51d30ecf8a22e890aced5a48e3b5b7e5"
] | [
"Assignments/Assignment-4/Code/Question_4/panorama.py"
] | [
"# ref: https://pylessons.com/OpenCV-image-stiching-continue/\n\nimport cv2\nimport numpy as np\n\nimg_ = cv2.imread('1a.jpg')\n# img_ = cv2.resize(img_, (0,0), fx=1, fy=1)\nimg1 = cv2.cvtColor(img_, cv2.COLOR_BGR2GRAY)\n\nimg = cv2.imread('1b.jpg')\n# img = cv2.resize(img, (0,0), fx=1, fy=1)\nimg2 = cv2.cvtColor(i... | [
[
"numpy.int32",
"numpy.float32"
]
] |
bayartsogt-ya/TransformerTTS | [
"2f3a1b580515a8b33a624bcdf163e549916065d6"
] | [
"create_dataset.py"
] | [
"import argparse\nimport os\nfrom pathlib import Path\n\nimport librosa\nimport numpy as np\nimport tqdm\nimport ruamel.yaml\n\nfrom preprocessing.text_processing import Phonemizer, TextCleaner\nfrom utils.audio import melspectrogram\n\nparser = argparse.ArgumentParser()\nparser.add_argument('--config', dest='CONFI... | [
[
"numpy.load",
"numpy.save",
"numpy.random.shuffle",
"numpy.random.seed",
"numpy.expand_dims",
"numpy.array"
]
] |
jnduli/edx_anaconda_machine_learning | [
"5eb1d967c0bbff545baf86860a6bd4074840747f"
] | [
"scatterplot.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Thu Sep 8 12:40:35 2016\n\n@author: rookie\n\"\"\"\n\nimport pandas as pd\nimport matplotlib as mpl\n\nmpl.style.use('ggplot')\n\nstudent_dataset = pd.read_csv(\"students.data\",index_col=0)\nstudent_dataset.plot.scatter(x='G1', y='G3')\n"
] | [
[
"pandas.read_csv",
"matplotlib.style.use"
]
] |
ivmfnal/python_model | [
"37be0df7d58b5ad25df8d4d4cabe77129d405b05"
] | [
"python_model.py"
] | [
"import numpy as np\nimport json\n\ndef softmax(x):\n x = x - np.max(x, axis=-1, keepdims=True)\n expx = np.exp(x)\n return expx/np.sum(expx, axis=-1, keepdims=True)\n\ndef sigmoid(x):\n return 1.0/(1.0 + np.exp(-x))\n \ndef tanh(x):\n return sigmoid(2*x)*2-1\n \ndef relu(x):\n return (x+np.... | [
[
"numpy.sum",
"numpy.load",
"numpy.empty",
"numpy.zeros",
"numpy.abs",
"numpy.exp",
"numpy.max",
"numpy.dot",
"numpy.tanh"
]
] |
TARTRL/RankingCost | [
"4ac7faebf006d1143b98a6eada651bcab6ec5063"
] | [
"gridworld/algorithms/ranking_cost/show_weight.py"
] | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n# Copyright 2021 The TARTRL 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# https://www.apache.org/licenses/LICEN... | [
[
"numpy.maximum",
"matplotlib.pyplot.savefig",
"numpy.arange",
"matplotlib.pyplot.subplots"
]
] |
dkllrjr/PyKeller | [
"6788876a0ab273c19e1643d7bce637f6e700eb99"
] | [
"build/lib/atmos_sci/mplnet.py"
] | [
"#NASA MPLNET functions\n\nimport numpy as np\nimport os\nos.chdir('..')\nos.chdir('..')\nimport PyKeller.signal_processing.pycuda_wavelets as py_wv\nimport PyKeller.signal_processing.wavelets as wv\nimport PyKeller.signal_processing.signal_analysis as sa\nimport PyKeller.atmos_sci.met_analysis as ma\nimport matplo... | [
[
"matplotlib.pyplot.style.use",
"matplotlib.pyplot.pcolormesh",
"numpy.nanmax",
"numpy.mean",
"matplotlib.pyplot.xticks",
"numpy.arange",
"scipy.signal.find_peaks",
"matplotlib.pyplot.show",
"numpy.isnan",
"numpy.array",
"matplotlib.pyplot.scatter"
]
] |
aadityasinha-dotcom/autoai | [
"600934c172f3c7f8bf8aa17fcc5b877d6bd628e3"
] | [
"blobcity/utils/AutoFeatureSelection.py"
] | [
"# Copyright 2021 BlobCity, 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 agreed... | [
[
"numpy.ones",
"sklearn.preprocessing.MinMaxScaler",
"pandas.DataFrame",
"pandas.concat",
"sklearn.feature_selection.SelectKBest",
"sklearn.feature_selection.VarianceThreshold",
"numpy.array"
]
] |
shantanu-garg/Data_Science_Projects | [
"2c4287dff9e624644ce4c8dc520b83c74a6555ee"
] | [
"Gender_Classifier.py"
] | [
"from sklearn import tree\nfrom sklearn import ensemble\nfrom sklearn import neighbors\nfrom sklearn import neural_network\n\n\n#X = [height, weight, shoe size]\n\nX = [[190,80,10],[132,45,6],[189,67,9],[202,100,13],[145,67,6],[154,45,8],[148,89,9],[159,90,7],[188,78,12],[163,80,8]]\nY =['Female','Male','Male','Mal... | [
[
"sklearn.tree.DecisionTreeClassifier",
"sklearn.neighbors.KNeighborsClassifier",
"sklearn.neural_network.MLPClassifier",
"sklearn.ensemble.RandomForestClassifier"
]
] |
io8ex/Stone-Soup | [
"071abc8f6004296ab35094db04c7ec410103c419"
] | [
"stonesoup/smoother/kalman.py"
] | [
"# -*- coding: utf-8 -*-\nimport copy\nfrom functools import partial\n\nimport numpy as np\n\nfrom .base import Smoother\nfrom ..base import Property\nfrom ..types.multihypothesis import MultipleHypothesis\nfrom ..types.prediction import Prediction, GaussianStatePrediction\nfrom ..types.update import Update, Gaussi... | [
[
"numpy.linalg.inv"
]
] |
neherlab/HIVEVO_recombination | [
"3160d4396069c1a403a0a122d30e6c2f0522df5f"
] | [
"scripts/activity.py"
] | [
"from trajectory import Trajectory, create_trajectory_list, filter, create_all_patient_trajectories\nfrom hivevo.patients import Patient\nimport filenames\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n\ndef get_activity(patient, region, normalize=False, remove_one_point_traj=False, min_freq=0.2):\n tim... | [
[
"numpy.sum",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.figure",
"matplotlib.pyplot.grid",
"numpy.ones_like",
"matplotlib.pyplot.title",
"matplotlib.pyplot.show",
"matplotlib.pyplot.ylabel",
"numpy.array",
"matplotlib.pyplot.plot",
"numpy.linspace",
"matplotlib.... |
amsks/SMARTS | [
"341ab5974bb77c90953536349e478d9b79994a64",
"341ab5974bb77c90953536349e478d9b79994a64"
] | [
"smarts/core/utils/math.py",
"scenarios/straight/agent_prefabs.py"
] | [
"# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the rig... | [
[
"numpy.arctan2",
"numpy.eye",
"numpy.matmul",
"numpy.cos",
"numpy.asarray",
"numpy.clip",
"numpy.array",
"numpy.sin",
"numpy.dot",
"numpy.linalg.norm"
],
[
"numpy.array",
"numpy.linalg.norm"
]
] |
maximiliankc/photo-fun | [
"460f0b00d58c31ff2ed0283c6c4a07b9c481c9f0"
] | [
"dsp/dsp.py"
] | [
"import numpy as np\nimport matplotlib.pyplot as plt\n\n# W = J/sample\n\n## Filtering\n\ndef sinc_kernel(cutoff, halflength): # cutoff should be between 0 and 1, TODO window function, low-pass/highpass\n n = np.arange(-halflength, halflength + 1)\n # get the sinc function:\n out = np.sinc(cutoff*n)\n #... | [
[
"numpy.sum",
"numpy.fft.fft",
"numpy.roll",
"numpy.zeros",
"numpy.conj",
"numpy.abs",
"numpy.arange",
"matplotlib.pyplot.subplot",
"matplotlib.pyplot.show",
"matplotlib.pyplot.ylabel",
"numpy.angle",
"numpy.sinc",
"numpy.random.normal",
"matplotlib.pyplot.pl... |
Phaeton-lang/baselines | [
"472c248047fbb55b5fa0e620758047b7f0a1d041"
] | [
"tensorflow-large-model-support/tflms-v2/test/manual/kerasload/ktk_resnet50_train_saveweights_h5.py"
] | [
"# Copyright 2018, 2019. IBM All Rights Reserved.\n# 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... | [
[
"numpy.zeros",
"numpy.random.random",
"numpy.random.normal",
"numpy.random.randint",
"numpy.array"
]
] |
Shiguang-Guo/fairseq | [
"c9d3df5679d0829cda8fc3c818b6cab52b78dc37"
] | [
"examples/MMPT/scripts/video_feature_extractor/shard_feature.py"
] | [
"# Copyright (c) Facebook, Inc. and its affiliates.\n#\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\nimport numpy as np\nimport os\nimport pickle\n\nfrom mmpt.utils import ShardedTensor\n\n\nclass Shard(object):\n def __init__(\n ... | [
[
"numpy.load"
]
] |
georgetown-analytics/Labor-Violations | [
"ce4a8fcd7b396f46a262636ef200b398b3d3e614"
] | [
"src/pipeline/text_pipeline_basic.py"
] | [
"# Built from the SKLearn basic text processing pipeine\n# https://scikit-learn.org/stable/auto_examples/model_selection/grid_search_text_feature_extraction.html\n\n\"\"\"\n==========================================================\nSample pipeline for text feature extraction and evaluation\n=======================... | [
[
"sklearn.feature_extraction.text.CountVectorizer",
"sklearn.linear_model.SGDClassifier",
"sklearn.feature_extraction.text.TfidfTransformer",
"sklearn.model_selection.GridSearchCV",
"sklearn.datasets.fetch_20newsgroups"
]
] |
laljarus/Programming_Self_Driving_Car | [
"b866f9cb176158badfa15d26b0a5c45e0aaf72bf"
] | [
"ros/src/tl_detector/tl_detector.py"
] | [
"#!/usr/bin/env python\nimport rospy\nfrom std_msgs.msg import Int32\nfrom geometry_msgs.msg import PoseStamped, Pose\nfrom styx_msgs.msg import TrafficLightArray, TrafficLight\nfrom styx_msgs.msg import Lane\nfrom sensor_msgs.msg import Image\nfrom cv_bridge import CvBridge\nfrom light_classification.tl_classifier... | [
[
"numpy.array",
"numpy.dot",
"scipy.spatial.KDTree"
]
] |
shibaji7/ISWAT_CV | [
"6239f021b597b66bca213cbc28ad7185f566c0f9"
] | [
"core/contours.py"
] | [
"\"\"\"contours.py: Module is used to implement edge detection tecqniues using CV2 and apply Kernel estimations on the regions\"\"\"\n\n__author__ = \"Chakraborty, S.\"\n__copyright__ = \"\"\n__credits__ = []\n__license__ = \"MIT\"\n__version__ = \"1.0.\"\n__maintainer__ = \"Chakraborty, S.\"\n__email__ = \"shibaji... | [
[
"numpy.sum",
"numpy.diff",
"pandas.DataFrame",
"numpy.random.seed",
"numpy.copy",
"matplotlib.pyplot.subplots",
"numpy.exp",
"numpy.log10",
"matplotlib.pyplot.close",
"numpy.isnan",
"matplotlib.use",
"numpy.linspace",
"matplotlib.pyplot.style.context"
]
] |
gogasca/tpu | [
"e8801a42e2e2217c464d6a7870e40f19f0ae936b"
] | [
"models/official/mask_rcnn/distributed_executer.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.contrib.tpu.TPUEstimator",
"tensorflow.distribute.experimental.MultiWorkerMirroredStrategy",
"tensorflow.estimator.TrainSpec",
"tensorflow.contrib.cluster_resolver.TPUClusterResolver",
"tensorflow.summary.FileWriter",
"tensorflow.contrib.cluster_resolver.TFConfigClusterResolver... |
exowanderer/BadPixelDetector | [
"1dd30eaec6f2a1c6edd40322cde395ac2cd06626"
] | [
"scripts/xgboost_simulated_bad_pixel_classifier.py"
] | [
"from itertools import product as iterproduct\n\nfrom pylab import *;ion()\nfrom sklearn.decomposition import PCA\n\nfrom sklearn.externals import joblib\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import accuracy_score, confusion_matrix\nfrom sklearn.preprocessing import StandardSca... | [
[
"sklearn.externals.joblib.load",
"sklearn.metrics.confusion_matrix",
"sklearn.metrics.accuracy_score",
"sklearn.preprocessing.StandardScaler",
"sklearn.decomposition.PCA"
]
] |
ptype/pandas | [
"672fb498bb4b4897c2caa2e17daad66d1ba60943"
] | [
"pandas/tests/indexes/test_base.py"
] | [
"from collections import defaultdict\nfrom datetime import (\n datetime,\n timedelta,\n)\nfrom io import StringIO\nimport math\nimport re\n\nimport numpy as np\nimport pytest\n\nfrom pandas.compat import (\n IS64,\n np_datetime64_compat,\n)\nfrom pandas.util._test_decorators import async_mark\n\nimport ... | [
[
"pandas._testing.assert_numpy_array_equal",
"pandas.timedelta_range",
"pandas.Series",
"pandas.CategoricalIndex",
"pandas.core.indexes.api.ensure_index_from_sequences",
"numpy.argsort",
"pandas.Float64Index",
"pandas._testing.assert_series_equal",
"pandas.RangeIndex",
"pand... |
KH-Kyle/rmp_nav | [
"d598fe70664a4cdc0e9b9dd4b52e84aa3de1b551"
] | [
"topological_nav/tools/build_nav_graph.py"
] | [
"import numpy as np\nimport cv2\nimport os\nfrom topological_nav.reachability.planning import NavGraph, update_nav_graph, NavGraphSPTM\nfrom rmp_nav.simulation.gibson_map import MakeGibsonMap\nfrom rmp_nav.common.utils import get_gibson_asset_dir, pprint_dict\n\n\ndef _make_maps(map_names):\n def load_maps(datad... | [
[
"numpy.array",
"numpy.dtype"
]
] |
ZLLentz/ophyd | [
"c3ae3dac6f37a9befeed0ce80a7684dd645f4bbc"
] | [
"ophyd/tests/test_sim.py"
] | [
"from ophyd.sim import (SynGauss, Syn2DGauss, SynAxis, make_fake_device,\n FakeEpicsSignal, FakeEpicsSignalRO,\n FakeEpicsSignalWithRBV, clear_fake_device,\n instantiate_fake_device, SynSignalWithRegistry)\nfrom ophyd.device import (Device, Component... | [
[
"numpy.random.RandomState",
"numpy.ones"
]
] |
JSchapke/bazzan_environment | [
"38c7bba4be47c855f1844758c03a299d5ec94649"
] | [
"ga.py"
] | [
"import os\nimport argparse\nimport datetime\nimport random\nfrom functools import partial\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nfrom lib.pyeasyga import GeneticAlgorithm\nfrom env import Env\n\ndef create_individual(action_space, *args):\n high = action_space.high\n low = action_space.low\n... | [
[
"numpy.zeros",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.fill_between",
"numpy.mean"
]
] |
julramos/sktime | [
"192b5ec5e6e4e4ee2e956b48e1cd5930aa193a84"
] | [
"sktime/tests/_config.py"
] | [
"#!/usr/bin/env python3 -u\n# -*- coding: utf-8 -*-\n# copyright: sktime developers, BSD-3-Clause License (see LICENSE file)\n\n__author__ = [\"Markus Löning\"]\n__all__ = [\"ESTIMATOR_TEST_PARAMS\", \"EXCLUDE_ESTIMATORS\", \"EXCLUDED_TESTS\"]\n\nimport numpy as np\n\nfrom hcrystalball.wrappers import HoltSmoothing... | [
[
"sklearn.preprocessing.StandardScaler",
"sklearn.linear_model.LinearRegression",
"sklearn.preprocessing.FunctionTransformer"
]
] |
Jerrypiglet/Total3DUnderstanding | [
"655d00a988c839af3b73f8ab890c3f70c1500147"
] | [
"models/mgnet/modules/network.py"
] | [
"# Mesh Generation Net: model loader\n# author: ynie\n# date: Feb, 2020\n\nfrom models.registers import METHODS, MODULES, LOSSES\nfrom models.network import BaseNetwork\nimport torch\nfrom torch import nn\n\n@METHODS.register_module\nclass MGNet(BaseNetwork):\n\n def __init__(self, cfg):\n '''\n lo... | [
[
"torch.nn.DataParallel"
]
] |
loopylangur/allennlp | [
"0fc695b08a0376317e45ae0a45584aa9eb14beb6"
] | [
"allennlp/training/trainer.py"
] | [
"import datetime\nimport logging\nimport math\nimport os\nimport time\nimport traceback\nfrom typing import Dict, Optional, Tuple, Union, Iterable, Any\n\nimport torch\nimport torch.distributed as dist\nimport torch.optim.lr_scheduler\nfrom torch.nn.parallel import DistributedDataParallel\n\nfrom allennlp.common im... | [
[
"torch.isnan",
"torch.nn.parallel.DistributedDataParallel",
"torch.no_grad",
"torch.distributed.barrier"
]
] |
PDillis/coiltraine | [
"a682aa62af5f6ecb95a837d33b70d893d3d261f6"
] | [
"network/models/coil_reverse.py"
] | [
"from logger import coil_logger\nimport torch.nn as nn\nimport torch\nimport importlib\n\nfrom configs import g_conf\nfrom coilutils.general import command_number_to_index\n\nfrom .building_blocks import Conv\nfrom .building_blocks import Branching\nfrom .building_blocks import FC\nfrom .building_blocks import Join... | [
[
"torch.nn.init.xavier_uniform_",
"torch.nn.Sequential",
"torch.nn.init.constant_"
]
] |
thundergolfer/text-classify-with-cnn | [
"02fe7b3f85a5408f38f1fbc97382d41e80b78ff8"
] | [
"evaluate.py"
] | [
"# coding: utf-8\n\n\nimport tensorflow as tf\nimport numpy as np\nimport os\nimport time\nimport datetime\nimport manage_data\nfrom text_network import TextNetwork\nfrom tensorflow.contrib import learn\n\n\n# ### Set Params\n\n# Eval Parameters\ntf.flags.DEFINE_integer(\"batch_size\", 64, \"Batch Size (default: 64... | [
[
"tensorflow.flags.DEFINE_integer",
"tensorflow.contrib.learn.preprocessing.VocabularyProcessor.restore",
"numpy.argmax",
"tensorflow.Graph",
"tensorflow.train.latest_checkpoint",
"tensorflow.flags.DEFINE_boolean",
"tensorflow.Session",
"tensorflow.flags.DEFINE_string",
"numpy.c... |
Radiian-Arts-Main/Radiian-Arts-BioSource | [
"51e08da0b3171fe96badc68780fd0f3381d49738"
] | [
"makehuman-master/makehuman/apps/autoskinblender.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\n\"\"\"\n**Project Name:** MakeHuman\n\n**Product Home Page:** http://www.makehumancommunity.org/\n\n**Github Code Home Page:** https://github.com/makehumancommunity/\n\n**Authors:** Jonas Hauquier\n\n**Copyright(c):** MakeHuman Team 2001-201... | [
[
"numpy.asarray"
]
] |
Dynmi/tensorflow | [
"74f953df1b3a3e2f32ffdd0065322a0aa9df53e2"
] | [
"tensorflow/python/keras/losses.py"
] | [
"# Copyright 2015 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.math_ops.equal",
"tensorflow.python.ops.math_ops.maximum",
"tensorflow.python.keras.backend.categorical_crossentropy",
"tensorflow.python.keras.utils.tf_utils.is_tensor_or_variable",
"tensorflow.python.ops.math_ops.pow",
"tensorflow.python.ops.math_ops.squared_differ... |
YongfengGao/CNN-T-DB | [
"11c67eb94b6db36217a837fedd27b393532dd09b"
] | [
"test.py"
] | [
"import os,glob\r\nimport sys\r\nimport argparse\r\nimport numpy as np\r\nfrom scipy.io import savemat,loadmat\r\nimport torch\r\nfrom torch.autograd import Variable\r\nimport struct\r\nfrom shutil import rmtree\r\nfrom matplotlib import pyplot as plt\r\nfrom numpy import *\r\n\r\n\r\ndef testing():\r\n\r\n ... | [
[
"scipy.io.loadmat",
"numpy.transpose",
"torch.load",
"numpy.zeros",
"numpy.squeeze",
"torch.autograd.Variable",
"scipy.io.savemat",
"torch.from_numpy",
"numpy.array"
]
] |
iBobbyTS/OpenVideoEnhance | [
"64d12d7a4c344798e5d60eafd20f8f554f852e84"
] | [
"ove/algorithm/basicvsr/fix_model.py"
] | [
"import torch\nori = torch.load('/Users/ibobby/Dataset/model_weights/BasicVSR/v-bi.pth')\nori = ori['state_dict']\nnew = {}\nfor k in ori.keys():\n new[k.replace('generator.', '')] = ori[k]\n# Rename\nm = list()\nu = list()\n# PixelShufflePack\nm += [\"upsample1.main.0.weight\", \"upsample1.main.0.bias\", \"upsa... | [
[
"torch.load"
]
] |
scottma/aws-batch-monte-carlo-workshop | [
"52e14f1e2ee287b91dbc15abdb2fb55c7fef4693"
] | [
"src/simulator.py"
] | [
"'''\nver 0.1, namera@ , initial-release, Oct26'17\nver 0.2, namera@ , included execution id for traceability, Nov3'17\nver 0.3, shawo@ , Corrected typos in variable names, Apr23'18\nver 0.4, angelaw@ , Added S3 upload flag, removed risk calculations, Oct17'18\n\n\nHedge Your Own Funds: Running Monte Carlo Simula... | [
[
"numpy.where",
"pandas.DataFrame",
"pandas.concat"
]
] |
openalgorithmdevelopers/MATSS-Original | [
"76b9cc7a23fd83b0cca0249addcccabd9bb8bf92"
] | [
"generate_OPENSMILE_features_csv.py"
] | [
"# -*- coding: utf-8 -*-\r\n\"\"\"\r\nCreated on Tue Sep 28 17:46:55 2021\r\n\r\n@author: bhupendra.singh\r\n\"\"\"\r\n\r\n\r\nimport numpy as np\r\nimport pandas as pd\r\nfrom tqdm import tqdm\r\nimport opensmile\r\n\r\n\r\ntotalSubjects = 21\r\ntotalUtterances = 60 #the number of utterances of words in a folde... | [
[
"pandas.DataFrame"
]
] |
TobyLing/Comparative-Study-of-Deep-Learning-Models-for-Segmentation-of-Corpus-Callosum | [
"c1840440c29e1bcc6fac3830003b026d7f452513"
] | [
"networks/resnet34.py"
] | [
"import torch\n\nfrom torchvision import models\n\nfrom tensorboardX import SummaryWriter\n\nwriter = SummaryWriter()\n\nresnet = models.resnet34(pretrained=True)\n\ndevice = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n\nmodel = resnet.to(device)\n\ndummy_input = torch.zeros(8, 3,512,512)\n\nw... | [
[
"torch.zeros",
"torch.cuda.is_available"
]
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.