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ml-cvnets
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Name
Complexity
Churn
Issues
A
cvnets\layers\activation\relu.py
1 4 -
A
config\classification\finetune_higher_res_in1k\mobilevit_v2.yaml
 3 -
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cvnets\layers\activation\sigmoid.py
1 4 -
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config\segmentation\ade20k\deeplabv3_resnet50.yaml
 2 -
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cvnets\layers\activation\tanh.py
1 3 -
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config\classification\imagenet\resnet_eval\imagenet_r.yaml
 1 -
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cvnets\layers\base_layer.py
5 3 -
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config\classification\imagenet\resnet_eval\imagenet_sketch.yaml
 1 -
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cvnets\layers\dropout.py
2 3 -
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config\classification\finetune_in21k_to_1k\mobilevit_v2.yaml
 3 -
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cvnets\layers\flatten.py
1 3 -
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config\segmentation\pascal_voc\pspnet_mobilevitv2.yaml
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cvnets\layers\identity.py
2 3 -
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config\classification\imagenet\vit.yaml
 3 -
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cvnets\layers\normalization\__init__.py
10 4 -
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cvnets\layers\multi_head_attention.py
21 4 -
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cvnets\__init__.py
1 4 -
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config\classification\imagenet\mobilevit.yaml
 3 -
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config\classification\imagenet_21k\mobilevit_v2.yaml
 3 -
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cvnets\anchor_generator\__init__.py
3 2 -