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{ |
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"models": { |
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"GelGenie-Universal-Dec-2023": { |
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"abbrvName": "Universal Model", |
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"modelName": "GelGenie-Universal-Dec-2023", |
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"description": "SMPUNet trained with global padding on entire GelGenie training dataset", |
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"hf_repo_id": "mattaq/GelGenie-Universal-Dec-2023", |
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"hf_revision": "main", |
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"torchscript_file": "unet_dec_21_epoch_579.pt", |
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"onnx_file": "unet_dec_21_epoch_579.onnx", |
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"modelType": "Primary" |
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}, |
|
"GelGenie-Universal-FineTune-May-2024": { |
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"abbrvName": "Sharp Band Model", |
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"modelName": "GelGenie-Universal-FineTune-May-2024", |
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"description": "SMPUNet finetuned from universal model to improve performance on sharp bands", |
|
"hf_repo_id": "mattaq/GelGenie-Universal-FineTune-May-2024", |
|
"hf_revision": "main", |
|
"torchscript_file": "unet_dec_21_finetune_epoch_590.pt", |
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"onnx_file": "unet_dec_21_finetune_epoch_590.onnx", |
|
"modelType": "Primary" |
|
}, |
|
"GelGenie-Universal-Extended-Dec-2023": { |
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"abbrvName": "Universal Model (Extended)", |
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"modelName": "GelGenie-Universal-Extended-Dec-2023", |
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"description": "SMPUNet trained with global padding on entire GelGenie dataset", |
|
"hf_repo_id": "mattaq/GelGenie-Universal-Extended-Dec-2023", |
|
"hf_revision": "main", |
|
"torchscript_file": "unet_dec_21_extended_set_epoch_600.pt", |
|
"onnx_file": "unet_dec_21_extended_set_epoch_600.onnx", |
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"modelType": "Prototype" |
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}, |
|
"GelGenie-LowRes-Dec-2023": { |
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"abbrvName": "Low-Res Model", |
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"modelName": "GelGenie-LowRes-Dec-2023", |
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"description": "SMPUNet trained with global padding on LSDB training dataset", |
|
"hf_repo_id": "mattaq/GelGenie-LowRes-Dec-2023", |
|
"hf_revision": "main", |
|
"torchscript_file": "unet_dec_21_lsdb_only_epoch_427.pt", |
|
"onnx_file": "unet_dec_21_lsdb_only_epoch_427.onnx", |
|
"modelType": "Primary" |
|
}, |
|
"GelGenie-LowRes-Extended-Dec-2023": { |
|
"abbrvName": "Low-Res Model (Extended)", |
|
"modelName": "GelGenie-LowRes-Extended-Dec-2023", |
|
"description": "SMPUNet trained with global padding on entire LSDB dataset", |
|
"hf_repo_id": "mattaq/GelGenie-LowRes-Extended-Dec-2023", |
|
"hf_revision": "main", |
|
"torchscript_file": "unet_dec_21_lsdb_only_extended_set_epoch_600.pt", |
|
"onnx_file": "unet_dec_21_lsdb_only_extended_set_epoch_600.onnx", |
|
"modelType": "Prototype" |
|
}, |
|
"GelGenie-nnUNet-Dec-2023": { |
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"abbrvName": "nnUNet (slow without GPU)", |
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"modelName": "GelGenie-nnUNet-Dec-2023", |
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"description": "nnUNet trained on entire GelGenie training dataset", |
|
"hf_repo_id": "mattaq/GelGenie-nnUNet-Dec-2023", |
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"hf_revision": "main", |
|
"torchscript_file": "gaussian_tta_packaged_nnunet.pt", |
|
"onnx_file": "None", |
|
"modelType": "Primary" |
|
}, |
|
"GelGenie-nnUNet-Extended-Dec-2023": { |
|
"abbrvName": "nnUNet (Extended - slow without GPU)", |
|
"modelName": "GelGenie-nnUNet-Extended-Dec-2023", |
|
"description": "nnUNet trained on entire GelGenie dataset", |
|
"hf_repo_id": "mattaq/GelGenie-nnUNet-Extended-Dec-2023", |
|
"hf_revision": "main", |
|
"torchscript_file": "gaussian_tta_packaged_nnunet.pt", |
|
"onnx_file": "None", |
|
"modelType": "Prototype" |
|
}, |
|
"GelGenie-SMPUNet-GP-4-Nov-2023": { |
|
"abbrvName": "Prototype Model (Universal)", |
|
"modelName": "GelGenie-SMPUNet-GP-4-Nov-2023", |
|
"description": "Prototype SMPUNet trained with global padding", |
|
"hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-4-Nov-2023", |
|
"hf_revision": "main", |
|
"torchscript_file": "unet_global_padding_nov_4_epoch_198.pt", |
|
"onnx_file": "unet_global_padding_nov_4_epoch_198.onnx", |
|
"modelType": "Prototype" |
|
}, |
|
"nnUNet-GelGenie-15-Dec-2023": { |
|
"abbrvName": "Prototype nnUNet Model (slow without GPU)", |
|
"modelName": "nnUNet-GelGenie-15-Dec-2023", |
|
"description": "Prototype nnUNet", |
|
"hf_repo_id": "mattaq/nnUNet-GelGenie-15-Dec-2023", |
|
"hf_revision": "main", |
|
"torchscript_file": "gaussian_tta_packaged_nnunet.pt", |
|
"onnx_file": "None", |
|
"modelType": "Prototype" |
|
}, |
|
"GelGenie-AttUNet-CW-4-Nov-2023": { |
|
"abbrvName": "Prototype Model (Lightweight)", |
|
"modelName": "GelGenie-AttUNet-CW-4-Nov-2023", |
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"description": "Prototype Attention UNet (monai) trained with class weighting", |
|
"hf_repo_id": "mattaq/GelGenie-AttUNet-CW-4-Nov-2023", |
|
"hf_revision": "main", |
|
"torchscript_file": "attunet_nov_4_class_weighting_epoch_338.pt", |
|
"onnx_file":"attunet_nov_4_class_weighting_epoch_338.onnx", |
|
"modelType": "Prototype" |
|
}, |
|
"GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023": { |
|
"abbrvName": "Prototype Model (High-Res)", |
|
"modelName": "GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023", |
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"description": "Prototype SMPUNet trained with global padding on non-LSDB data", |
|
"hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023", |
|
"hf_revision": "main", |
|
"torchscript_file": "unet_global_padding_nov_5_no_lsdb_epoch_585.pt", |
|
"onnx_file":"unet_global_padding_nov_5_no_lsdb_epoch_585.onnx", |
|
"modelType": "Prototype" |
|
}, |
|
"GelGenie-SMPUNet-GP-LSDB-6-Nov-2023": { |
|
"abbrvName": "Prototype Model (Low-Res)", |
|
"modelName": "GelGenie-SMPUNet-GP-LSDB-6-Nov-2023", |
|
"description": "Prototype SMPUNet trained with global padding on LSDB data only", |
|
"hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-LSDB-6-Nov-2023", |
|
"hf_revision": "main", |
|
"torchscript_file": "unet_global_padding_nov_6_lsdb_only_epoch_306.pt", |
|
"onnx_file":"unet_global_padding_nov_6_lsdb_only_epoch_306.onnx", |
|
"modelType": "Prototype" |
|
} |
|
} |
|
} |