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PaddleViT
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Complexity
Churn
Issues
A
image_classification\Shuffle_Transformer\config.py
21 14 -
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gan\Styleformer\configs\styleformer_celeba.yaml
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image_classification\Shuffle_Transformer\configs\shuffle_vit_small_patch4_window7_224.yaml
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image_classification\DeiT\run_eval_multi_no_distill.sh
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image_classification\Shuffle_Transformer\datasets.py
18 11 -
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image_classification\CaiT\configs\cait_xxs24_384.yaml
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image_classification\Shuffle_Transformer\load_pytorch_weights.py
44 2 -
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image_classification\DeiT\run_finetune_384_multi_no_distill.sh
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image_classification\Shuffle_Transformer\main_multi_gpu.py
61 13 -
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image_classification\SwinTransformer\droppath.py
5 3 -
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image_classification\T2T_ViT\load_pytorch_weights.py
45 2 -
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image_classification\T2T_ViT\export_models.py
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image_classification\SwinTransformer\datasets.py
18 10 -
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image_classification\SwinTransformer\configs\swin_base_patch4_window12_384_21k_1k.yaml
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image_classification\Shuffle_Transformer\utils.py
26 3 -
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edu\class10\transformer.py
24 1 -
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facial_expression\main_test_multi_gpu.py
23 1 -
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image_classification\BEiT\run_eval_multi.sh
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image_classification\ConvNeXt\configs\convnext_xlarge.yaml
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image_classification\MobileFormer\configs\mobileformer_96m.yaml
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