sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
961e23945ec662fe04a85e6ab131d6bfdd518b6c77dd533565a60519f90e6861 | Python | 20 | 1 | from .hmrf import *
|
b696c1e2425b47a1949cdbee2be91f4d8b9e5ab45b1c88d1bda13a628f43e05b | Python | 20 | 1 | from .model import * |
fd6c175c8bef48516998855f45d89f1a3a04ca12fd5c6ed6bc9b0ae949a5cc58 | Python | 20 | 1 | __version__ = "0.0"
|
06ff5fb78f5463ad1e4c4edd9cd0c56618e96de5ab81fb0314a4399e0f1d29c8 | Python | 21 | 1 | from . import metrics |
a689359ade161415391c7b9882d6d1fce453af111dadc571a7d9223de067a6db | Python | 21 | 1 | # Transforms package
|
e534525c4b9b9e9b3b95fcfb075f12fb0b2b5213c6557bf2af8c6d91f86f8506 | Python | 21 | 1 | from .HimNet import * |
f09fab1d8826437c1776ceba8b57c85b7571d3fe5bc0c9b7e622a229a5a3ab55 | Python | 21 | 1 | from . import sparse
|
f280312941bbe3b194a249b18e4ad67a3c896b9c8f344b28243957c6879dc53c | Python | 21 | 1 | __version__ = "0.1.1" |
2c12b8ea17aeb6f9f72a6b02aca218bbc4508a46df9e365a8f6c45ad769e0b34 | Python | 22 | 1 | __version__ = "0.5.0"
|
2e00d25b995a3aa03fee2d955b4719f50ba6651122814c6cdd9081cc9d441b4a | Python | 22 | 1 | __version__ = "2.4.1"
|
33dcf7744e4ac8122ef6254aa787370f44009565b6b77eb9a5a6c77a6c0b8078 | Python | 22 | 1 | from .layers import *
|
3c6f1dc017085e0ae517c737dadeb1137cac76aeb295bee065028e476c4f0c44 | Python | 22 | 1 | from . import helpers
|
4c59000a8ed229b569490977d8e09208d9b2d73557fa3b105fa7405cc6d69a45 | Python | 22 | 1 | __version__ = '0.5.3'
|
77ae7ddecf9704dbd5c6b8bd96bdaa2d40d9437664dfe5571c4c1d6f8a63f2a0 | Python | 22 | 1 | __version__ = "1.8.2"
|
96cd5c6a6948a0cc44673f604a4675389a3e317a875b028fb5d3db6499b0a7b1 | Python | 22 | 1 | __version__ = '0.1.1'
|
b172e1ee0dca0b84021717191814e91b6b1c47b866981b0c8eae8ba91a6d9118 | Python | 22 | 1 | __version__ = "0.0.1"
|
e0664a8b5de50d30f6e5806419a9216721106564c447f39640c34fa07fd43367 | Python | 22 | 1 | __version__ = "0.0.3"
|
35dacc455ec30aa064ace25bb3915d9d27f4554b3fad4f7a5d48cd5226a50e53 | Python | 23 | 1 | from ._lineage import * |
3d055f96925d24311319fda0d41079387092ff92ad82d78446c7217e8481b6cb | Python | 23 | 1 | __version__ = "0.15.1"
|
666db9fe0f8fbbbc4163252a283e0c80d2950cac75764ccf52bf7d5a1e29b408 | Python | 23 | 1 | # Intentionally empty
|
9545838b10813deadebb867629a6e732d1c24d760eae529b59c029dd53ea7288 | Python | 23 | 1 | from .fixPaths import * |
b7ccbfe604f7e641fe705ca017f277eeb4d6cd7f21fad2cb4171b82029543b07 | Python | 23 | 1 | from .utility import *
|
bf8ce62a3b0a38f65ba7a06b5a8cfb88ae124f4b1d65d521f5b41226696e679a | Python | 23 | 1 | __version__ = "0.10.0"
|
f8aaacea764787e72dae6ecba1851a40d83f7c40ce86e4abd4ca11cca4d6c2f6 | Python | 23 | 1 | __version__ = '0.30.2'
|
0ab906b37b0dd3636e1b93847c4f0d4aa56386a0e4a43a64f55f595859eab2c0 | Python | 24 | 1 | __author__ = 'sanromag'
|
15605028e2f39d5b61bcc60c012af1d86c3996a28710e71c429062b03679dc3c | Python | 24 | 2 | #!/usr/bin/env python3
|
1aa8b6a95a82b7bd61221a3e55340474dccf1af07ce5ee9cd300eb7743085933 | Python | 24 | 1 | # Siamese model package
|
4f90e7773dcf7b993d535a4da93c9a73c8350850031f21d044ec92a742afb57d | Python | 24 | 1 | __version__ = "0.1.7b13" |
604d29080a6e26d0d9d664062197b28f5638dabce7cfdd61b8d4228d880d3c69 | Python | 24 | 1 | from .__mympo__ import * |
d833a32995fdf0821475a7c64b1c75b994fc8be33cf3b80c0523e3e5252b21ab | Python | 24 | 1 | from .__mymps__ import * |
e6c67c2443e155c7a02888e2ad071e4f7f7a8e43e16f980e37a49c7dbc3b2398 | Python | 24 | 1 | from .adamw import AdamW |
15985b29647b9fd1a1b0aecb966ac332f89ab711ccd2631c97fb51cfef7f9c01 | Python | 25 | 1 | from . seeded import Ntac |
c79577ae4ccef1beccf9b19f7fd738ca9ea82fe96e544795f236bba4bafa33e5 | Python | 25 | 1 | from . import datareader
|
614ec628ed867074e5432dd56cd7fcd72d09275efeff2684796f1b5f0380ce1f | Python | 27 | 1 | __version__ = '1.0.8.dev0'
|
eceae4e9439bd3da7577a818722ea17e690d5934b749c1f921e5dae61542fb86 | Python | 27 | 1 | IMAGE_SHAPE=[160,192,160,1] |
038d22896e3a701b0444e2fd1e75c5780c5b714135e4f384514d90cc08c216b2 | Python | 28 | 1 | from . import core_functions |
32aaa05e5183de7131b6c36c270c3c21c2fdc6a353bc18cafbbbbbbda8a96b90 | Python | 28 | 1 | from .svg import detect_svg
|
3dc594ed3c02042c79028505a44b077418f25eeb0a6eed73ce0f45335d991d6c | Python | 28 | 1 | from .lr_scheduler import *
|
2a23e7ccc6f82a84cab822644dfe384c426bef08f81bcd0cc7c1516ee97e83ea | Python | 29 | 1 | from .unet_model import UNet
|
97c27ceef79917cf37af7aa9297ab65defd4f14ca5961f106186cb59f921c6e9 | Python | 29 | 1 | from .sigloss import SigLoss
|
d30e7a44c069a3a6a52a7fd3fe1f9086f9b2d36d1c78d4da56a6ea8b96becb1a | Python | 29 | 1 | IMAGE_SHAPE = [160,192,160,1] |
a89f7a46064af76420b41703bc5eb5d18dccba689b0218dd6dc733f3d1d0085c | Python | 30 | 1 | # TODO mv to behaviors module
|
fc3ef44c3e513c00482de5efe95899b523ed6b8aee90bf0b3e32049d87fbd860 | Python | 31 | 2 | for i in range(5):
print(i) |
793829a7a2d1e371f7e30525654acfb8620a54b802d5323ee643ccc6407f6b66 | Python | 32 | 3 | # -*- coding: utf-8 -*-
"""
"""
|
af357a68ba21ca3486cdecbed8b1a2f08dd6050ef5c159b5357e6ec5f66c9881 | Python | 32 | 1 | from .params import ParamsWidget |
f332c683e0df4219c39762b2d27fb35e937ef1efa0ee247401c688e25e15be99 | Python | 32 | 1 | from .version import __version__ |
3e11c5ae52f4a0ab879b7d9ffe64fda03e453a79eef514871d13ae8b632a33ce | Python | 33 | 1 | """ChemGraph UI page modules."""
|
7cccbcee95a2cf7c75d4a1c45efa541b68e6d4e73e85055a529b01484a8a3800 | Python | 33 | 1 | from scale.scale import run_scale |
9f6f4a39c2cb7a1466d232d4bb187c2e8f3120a5a7c9dc9c5e1455590762b813 | Python | 33 | 1 | from .pmolecule import Pmolecule
|
10e54d597080c37dbfc25a7bbe331aa466013c31adc785e0db0a1b1744c579c6 | Python | 34 | 1 | from .padding import PaddingWidget |
162afe16631f1ec54245563a179466b594a15bb858fe75e1ccdef7f94fc7d957 | Python | 34 | 1 | from .plots import apply_plotstyle |
5b1b8829977120b3fd7f86164b8355ff0ad122d54b671c1264cbc6111010c41e | Python | 34 | 1 | """Accuracy Evaluation Methods"""
|
81efc99ed17c0db144d19999886a5f54e0300e1b8fa9dd39e6d834eb637dd740 | Python | 34 | 1 | from .metrics_sr import SRMetrics
|
e90053d30e3c12c519fd59f30a437b977a6807b3fd209c97d56c7953e5e6ad69 | Python | 34 | 2 | import bert.task
import bert.model |
02a5ad95c24885204175a81849a16560240574814bf065e1fb0a1178fb52185d | Python | 35 | 1 | from models.gcl import GCL, GCL_rf
|
12f9f4ee06d97a87e9d7a52d1803a11805c0e0b3dc6078b24f6a23d15b8b7a0c | Python | 35 | 2 | from . import fwf
from . import lte |
2e81c805069fee0540d57093af057caff73ba3cab5c43439a7c07626364a0275 | Python | 35 | 2 | from .main_impl import main
main()
|
48461d80d2576497ce09119e15bc13edbcf0429c6263c6bcc2e0477d4f0bc080 | Python | 35 | 1 | from .cci import cal_spot_lr_score
|
5453d95575823f7701c328cab8a047fafb2f03855e8471d44a04cce663d2ccc4 | Python | 35 | 1 | from .results import ResultsWidget
|
303661adfe2f998c3347874c3731a183b9503b9a2d639ed80897dea8db568aeb | Python | 36 | 1 | from .confocal import ConfocalWidget |
2d908d43b7ee3cef24bfe206e2580432ef033e2fed29fdcf70ae627792edf936 | Python | 37 | 1 | # Utils package for shared utilities
|
401587477976cdc801158558f9b82117e492083ec65e0fc1f0b01d2420731ab4 | Python | 37 | 1 | # Empty file to make tests a package
|
76189f7511a9eb8dab0ccaf022097f598fa32c3026ce2c2174ea7e7c3fccc71e | Python | 37 | 2 | from setuptools import setup
setup()
|
150813234b40e478e0e437d5bbbf9274964282b8d124c35cafd97ee91c49d504 | Python | 38 | 1 | """Test suite for ImpedanceFitter."""
|
1730bfeaa6cb77db7006a25b45394c249c40497b9d0c7243b94aa95ac503588e | Python | 38 | 1 | from ladyns.optimize.optimize import * |
3b678270ed1912ba4ab0ec0190623889c5810a1c14fe8653f676418478727489 | Python | 38 | 1 | """Module for configuration files."""
|
503579c837f2301008c50876de1409244b6307734aeced9971f952961ae6c697 | Python | 38 | 1 | from .save_dataset import DatasetSaver |
9626cd3318380d252bd11598588f5557cba097ab9c98c5c4f4bb82f4c3a313db | Python | 38 | 1 | """Source package for 3D ViT-UNet."""
|
b686f9755afa9cb5025af72942a16fb399454008bcb709bd02569fc770f32010 | Python | 38 | 2 | from .mps import *
from .mpo import * |
ca5a4a0803c58e142e82f4173db9be04046e5dc5312b7d19ee12afc94e03e8ba | Python | 38 | 1 | """Example scripts for src layout."""
|
3276c7d10ab11697eeddef82984a8ec93ced252398c7d376fbf48d641eaab5a8 | Python | 39 | 1 | from admet_ai.web.run import admet_web
|
702ac1a937b7e0859750bc59cc68353f27ca3cb8c787cb5eda384bf8e12f2eeb | Python | 39 | 1 | from .data_losses import LpLoss, H1Loss |
72a5c9dd803de70eadc552c3c09fc2a3a81b19ac15726c417472638c2aacad5a | Python | 39 | 1 | from .definitions import ROOT_DIR, IQMS |
8e2c0361468996b390471e9a138712b2b6334c6bf4fefc62f3d416943924e753 | Python | 39 | 3 | from kinescope.cli import main
main()
|
ba194f3c151e79106e131786177487f296a828e1ec927b0125512d6256f929f2 | Python | 39 | 1 | hiddenimports = ["tifffile._tifffile"]
|
dad977c0e28121827bc42ee786411eb3d8903817f643584602fbd61baaf9d9e5 | Python | 39 | 4 | from setuptools import setup
setup()
|
ea6405669b0b0c73942d2c3ec13ad3996a6b0bd2bf8516cb00e29f5a7896eda6 | Python | 39 | 1 | from LSTHM.LSTHM import LSTHM as LSTHM
|
080642e676f8359b465d5e85815adbe57cac821f0acdac37e5a402591a336ca8 | Python | 40 | 1 | __version__ = "1.0.0+18.g9938c35.dirty"
|
327cf1a2f1c317f230d5a06c7a9e366cf12a030e37feaf69dddc44eb1be6c558 | Python | 40 | 2 | # -*- coding: utf-8 -*-
# @Author : LG
|
64e4d7819d07e05d5af6aaf30acc864f60cbe8debb470697eb8b262fd0fb2ab7 | Python | 40 | 2 | from . import base
from . import philips |
812011f6097c6cf481d7411f1dcb1d0ff7052074f75cc6576e7cb9f67e647a0f | Python | 40 | 3 | # -*- coding: utf-8 -*-
#
# __init__.py
|
8c256b85a8a404306fce830e2d537610f5d7c504ac4b34becdb1cde71e7f97fd | Python | 40 | 1 | """Tests for preprocessing utilities.""" |
e06d180c9f4c1fdb340db04e7b382fcd92f40e9bd4546545636d369e8bc0ef94 | Python | 40 | 2 | from .stitching import StitchingWidget
|
073191d23950fb27d1c3b1d0038795c0fb86a7f28e254994276079fd56e74b49 | Python | 41 | 1 | """Tests for miscellaneous NEMS tools.""" |
14844240908e1f9bf2326f80bf0e1e74e4372f2cef8257ce228618a5491bb0ac | Python | 41 | 1 | from .classes.pmolecule import Pmolecule
|
302e81073dde563e548cca92086f65a362d7611a27eb13e6deaf46e35156b000 | Python | 41 | 3 | import matplotlib
matplotlib.use("Agg")
|
3a4634e1a6990cc16eabd1b696464ebb62085f1ac92821a95d9a21180b503e1c | Python | 41 | 1 | """Versioned public-data acquisition."""
|
d573cf233519bc1aeb2da8d65232b664e6419fc9dc3776649bb525143cb1beca | Python | 41 | 1 | from .cpn_inference import cpn_inference
|
114723387dda5b6b5336552f0f5716975a7d3fc206c4bbad0f643ce34b31961b | Python | 42 | 3 | """
Phylogenetic file format support.
"""
|
1e80d32f30850acf3fb1d6cd6b3f6d2ceb4889ca1122abfc65bce5fc43b800d2 | Python | 42 | 1 | from .image_path import ImagePath # noqa
|
421af63ec8257de55c39e2b651615184595b515880896e04ec6ea7ed341a5aff | Python | 42 | 1 | from .generic import check_and_add_suffix
|
4a7e7ac7ec38ef13d97c1fed5ab18cc892efeab6046a5b2704ba35a1af3a0cee | Python | 42 | 1 | """TODO: tests for individual Backends.""" |
82337ffb85444fab03afe0cdd66b7c008b86d1ffeffdfd87e67069dcf0584edf | Python | 42 | 2 | from .model import *
from .utils import *
|
a5c1ef31c585080b259d7333b507a81a80000381bc54a355bcbc7c6f9e03ded8 | Python | 43 | 1 | """Psilocybin bridge research pipeline."""
|
a615d4b89f89561ba6706ea683dbd4caa48715b666e4cb7f6edc1a9f4cd2aa2b | Python | 43 | 2 | from .images import *
from .cmaps import *
|
be550cb58f7dac36c6fcc0ada60b04beee3af2ba8b21c81756000c75df6571da | Python | 43 | 1 | from featurevis.core import gradient_ascent |
f0a87857c915e50cff38746e873236227a6d335d8d2816c5d035a20d4eb773fc | Python | 43 | 1 | """Test suite for the FireANTs library.""" |
5e8cca58995346676b40df2f1ee48f03de1ceb38a13260add20c8b60f99ab808 | Python | 44 | 2 | from .data import *
from .database import *
|
6ecb3407450c707d630f2520cb79aeab1b3c6aebfefaa96444c69b40846dc5ec | Python | 44 | 1 | from .fit import model, residuals, partition |
898b6f9f0869268170c69161355d4171718d97343cf6a3f317e4cf9eaab87d47 | Python | 44 | 3 | from .r_squared import R2
__all__ = ['R2']
|
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