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PaddleViT
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Complexity
Churn
Issues
A
image_classification\MLP-Mixer\configs\mixer_l16_224.yaml
 2 -
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image_classification\TopFormer\random_erasing.py
19 1 -
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image_classification\Focal_Transformer\run_eval_multi.sh
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image_classification\TopFormer\run_train_multi.sh
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gan\transGAN\models\ViT_custom_scale2.py
25 2 -
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image_classification\TopFormer\utils.py
26 1 -
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image_classification\Focal_Transformer\utils.py
26 2 -
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image_classification\VOLO\config.py
20 8 -
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image_classification\CoaT\configs\coat_lite_mini.yaml
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image_classification\VOLO\configs\volo_d1_384.yaml
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image_classification\HVT\config.py
20 7 -
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image_classification\VOLO\configs\volo_d2_384.yaml
 1 -
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edu\class9\main.py
10 1 -
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image_classification\MLP-Mixer\datasets.py
18 6 -
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image_classification\MLP-Mixer\droppath.py
5 3 -
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image_classification\MLP-Mixer\load_pytorch_weights.py
34 4 -
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image_classification\BEiT\lr_decay.py
14 1 -
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image_classification\ConvMixer\random_erasing.py
19 3 -
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image_classification\MLP-Mixer\losses.py
10 2 -
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image_classification\MLP-Mixer\main_multi_gpu.py
61 14 -