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fusion_bench
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Name
Complexity
Churn
Issues
A
config\dataset\image_classification\train\mnist.yaml
 1 -
A
config\model\clip-vit\clip-vit-base-patch32_TALL20.yaml
 1 -
A
config\taskpool\CLIPVisionModelTaskPool\clip-vit-single-task_oxford_flowers102.yaml
 1 -
A
fusion_bench\models\nyuv2\aspp.py
1 1 -
B
fusion_bench\utils\lazy_state_dict.py
102 7 3
B
fusion_bench\utils\modelscope.py
22 5 4
B
fusion_bench\utils\state_dict_arithmetic.py
165 11 3
B
fusion_bench\dataset\arc_agi\arc_agi.py
30 5 4
B
fusion_bench\dataset\arc_agi\messagers.py
104 1 3
B
fusion_bench\method\adamerging\flan_t5_layer_wise_adamerging.py
21 3 4
B
fusion_bench\method\classification\clip_finetune.py
28 5 4
B
fusion_bench\method\concrete_subspace\clip_safe_concrete_adamerging.py
46 2 7
B
fusion_bench\method\lm_finetune\fullfinetune_sft.py
28 8 5
B
fusion_bench\method\moe_pruner\utils\data.py
11 2 8
B
fusion_bench\method\pruning\wanda_utils\data.py
11 4 8
B
fusion_bench\method\pruning\wanda_utils\prune.py
52 1 5
B
fusion_bench\method\randes\base_algorithm.py
189 1 3
B
fusion_bench\method\sparselo\sparselo.py
120 2 3
B
fusion_bench\method\task_singular_vector\utils\TSVM_utils.py
82 5 3
B
fusion_bench\modelpool\causal_lm\causal_lm.py
25 13 3