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fusion_bench
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Complexity
Churn
Issues
A
fusion_bench\method\regmean\clip_regmean.py
12 3 1
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config\fabric\loggers\tensorboard_logger.yaml
 3 -
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fusion_bench\method\regmean\regmean.py
23 5 -
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config\modelpool\ResNetForImageClassification\transformers\resnet18_food101.yaml
 1 -
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fusion_bench\method\regmean_plusplus\__init__.py
 2 -
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config\method\task_singular_vector\TaskSingularVectorMerging.yaml
 4 -
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fusion_bench\method\regmean_plusplus\regmean_plusplus.py
15 3 -
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config\modelpool\ResNetForImageClassification\transformers\resnet18_kmnist.yaml
 1 -
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fusion_bench\method\slerp\__init__.py
 3 -
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config\dataset\image_classification\train\emnist_letters.yaml
 1 -
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fusion_bench\method\sparselo\__init__.py
 1 -
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fusion_bench\method\sparse_we_moe\sparse_we_moe.py
20 1 1
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fusion_bench\method\smile_upscaling\singular_projection_merging.py
16 1 -
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config\_get_started\clip_evaluate_single_model.yaml
 1 -
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config\dataset\image_classification\test\TALL14.yaml
 1 -
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config\dataset\image_classification\test\mango-leaf-disease.yaml
 1 -
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config\dataset\image_classification\train\mnist.yaml
 1 -
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config\method\analysis\task_vector_violin_plot.yaml
 2 -
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config\model\clip-vit\clip-vit-base-patch32_TALL20.yaml
 1 -
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config\taskpool\CLIPVisionModelTaskPool\clip-vit-single-task_oxford_flowers102.yaml
 1 -