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pytorch-lightning-bolts
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Name
Complexity
Churn
Issues
A
tests\models\test_autoencoders.py
10 6 -
A
tests\models\test_gans.py
2 6 -
A
pl_bolts\datasets\cifar10_dataset.py
27 6 1
A
pl_bolts\models\self_supervised\amdim\amdim_module.py
19 6 -
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pl_bolts\models\self_supervised\byol\byol_module.py
14 6 -
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pl_bolts\models\self_supervised\cpc\cpc_module.py
23 6 -
A
pl_bolts\utils\__init__.py
 7 -
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tests\models\self_supervised\test_models.py
7 7 -
A
tests\models\self_supervised\test_scripts.py
21 7 -
A
pl_bolts\datasets\imagenet_dataset.py
62 7 2
A
pl_bolts\models\self_supervised\simclr\transforms.py
15 7 -
A
pl_bolts\models\self_supervised\swav\swav_module.py
66 7 -
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.github\workflows\code-format.yml
 8 -
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pl_bolts\datamodules\cityscapes_datamodule.py
15 8 -
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docs\source\conf.py
 8 -
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pl_bolts\__init__.py
 8 -
A
pl_bolts\datamodules\sklearn_datamodule.py
32 8 1
A
pl_bolts\datamodules\ssl_imagenet_datamodule.py
15 8 -
A
pl_bolts\callbacks\data_monitor.py
38 8 -
A
pl_bolts\models\rl\dqn_model.py
31 8 -