fusion-bench

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https://github.com/tanganke/fusion_bench

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tanganke updated a model 18 days ago

fusion-bench/resnet152-stanford-cars-batch_size_256_lr_0.001_training_data_ratio_0.5-3000

tanganke published a model 18 days ago

fusion-bench/resnet152-stanford-cars-batch_size_256_lr_0.001_training_data_ratio_0.5-3000

tanganke updated a model 18 days ago

fusion-bench/resnet152-stanford-cars-batch_size_256_lr_0.001_training_data_ratio_0.5-2000

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fusion-bench 's models 2,469

fusion-bench/resnet18-oxford_flowers102-batch_size_128_lr_0.01_training_data_ratio_1.0-3000

fusion-bench/resnet18-oxford_flowers102-batch_size_128_lr_0.01_training_data_ratio_0.5-3000

fusion-bench/resnet18-oxford_flowers102-batch_size_64_lr_0.005_training_data_ratio_1.0-3000

fusion-bench/resnet18-oxford_flowers102-batch_size_64_lr_0.001_training_data_ratio_0.8-3000

fusion-bench/resnet18-oxford_flowers102-batch_size_64_lr_0.005_training_data_ratio_0.8-3000

fusion-bench/resnet18-oxford_flowers102-batch_size_64_lr_0.001_training_data_ratio_0.5-3000

fusion-bench/resnet18-oxford_flowers102-batch_size_64_lr_0.01_training_data_ratio_0.8-3000

fusion-bench/resnet18-oxford_flowers102-batch_size_64_lr_0.01_training_data_ratio_0.5-3000

fusion-bench/resnet18-oxford_flowers102-batch_size_64_lr_0.01_training_data_ratio_1.0-3000

fusion-bench/resnet18-oxford_flowers102-batch_size_64_lr_0.005_training_data_ratio_0.5-3000

fusion-bench/resnet18-dtd-batch_size_256_lr_0.001_training_data_ratio_1.0-4000

fusion-bench/resnet18-dtd-batch_size_256_lr_0.005_training_data_ratio_0.5-4000

fusion-bench/resnet18-dtd-batch_size_256_lr_0.001_training_data_ratio_0.8-4000

fusion-bench/resnet18-dtd-batch_size_256_lr_0.005_training_data_ratio_1.0-4000

fusion-bench/resnet18-dtd-batch_size_256_lr_0.005_training_data_ratio_0.8-4000

fusion-bench/resnet18-dtd-batch_size_256_lr_0.001_training_data_ratio_0.5-4000

fusion-bench/resnet18-mnist-batch_size_128_lr_0.005_training_data_ratio_1.0-3000

fusion-bench/resnet18-mnist-batch_size_256_lr_0.005_training_data_ratio_0.5-3000

fusion-bench/resnet18-mnist-batch_size_256_lr_0.01_training_data_ratio_0.8-3000

fusion-bench/resnet18-mnist-batch_size_128_lr_0.001_training_data_ratio_0.8-3000

fusion-bench/resnet18-mnist-batch_size_256_lr_0.01_training_data_ratio_0.5-3000

fusion-bench/resnet18-mnist-batch_size_128_lr_0.001_training_data_ratio_1.0-3000

fusion-bench/resnet18-mnist-batch_size_128_lr_0.001_training_data_ratio_0.5-3000

fusion-bench/resnet18-mnist-batch_size_64_lr_0.005_training_data_ratio_0.5-3000

fusion-bench/resnet18-mnist-batch_size_64_lr_0.01_training_data_ratio_1.0-3000

fusion-bench/resnet18-mnist-batch_size_64_lr_0.005_training_data_ratio_1.0-3000

fusion-bench/resnet18-gtsrb-batch_size_64_lr_0.001_training_data_ratio_1.0-4000

fusion-bench/resnet18-gtsrb-batch_size_128_lr_0.01_training_data_ratio_0.8-4000

fusion-bench/resnet18-gtsrb-batch_size_128_lr_0.01_training_data_ratio_1.0-4000

fusion-bench/resnet18-gtsrb-batch_size_64_lr_0.005_training_data_ratio_1.0-4000