{ "format": "oscr-script-manifest/1", "repository": "github.com/cheliu-computation/merl-icml2024", "url": "https://github.com/cheliu-computation/MERL-ICML2024", "host": "github.com", "commit": "2a38649285e16eff75b69aeb64f2366b380c1a9e", "license": "MIT", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": "LICENSE", "sha256": "0fafb72c0bf7fddb99cec9af55863c362fd443ff36eb7f4c01263862044b8854", "language": "License", "lines": 21, "truncated": false, "block": 6, "row": 1369 }, { "path": "README.md", "sha256": "264c3caf0071a54167b07f37beba20f2dba15c0aed3a3781bbef861389b37073", "language": "Text", "lines": 73, "truncated": false, "block": 8, "row": 10098 }, { "path": "finetune/finetune_dataset.py", "sha256": "bbaff4628a59b4ad0747b78117f820e603d117c1bf7e7c6cb00d96b2d4c01ac8", "language": "Python", "lines": 147, "truncated": false, "block": 6, "row": 42948 }, { "path": "finetune/main_single.py", "sha256": "fd1809b3ed69fecea034976338df8eb15e894726df82f0a0fdff811a894b2c08", "language": "Python", "lines": 369, "truncated": false, "block": 7, "row": 7153 }, { "path": "finetune/models/resnet1d.py", "sha256": "77c8c704a0fe00bd2f505f4dffef656dd3bff28804b8a0a17e8be8e4cdf2c695", "language": "Python", "lines": 112, "truncated": false, "block": 6, "row": 39559 }, { "path": "finetune/models/vit1d.py", "sha256": "2fcbb2b03ca59228c0ed97d5d8151dcf165c3365d2caf68782f23d1a69dc859e", "language": "Python", "lines": 264, "truncated": false, "block": 7, "row": 2117 }, { "path": "finetune/preprocess.ipynb", "sha256": "6e96c3023662f7ba63d9dc58d852d981b456c367aac602fa3d7af33ec7585a18", "language": "Jupyter", "lines": 284, "truncated": false, "block": 5, "row": 17719 }, { "path": "finetune/sub_script/chapman/sub_chapman.sh", "sha256": "54b0a6c051c9edf2d69608743d67933f32fe7f9c13d98f3bb27933d6ab229285", "language": "Shell", "lines": 37, "truncated": false, "block": 8, "row": 7472 }, { "path": "finetune/sub_script/icbeb/sub_icbeb.sh", "sha256": "4d8fde999e1d803e4025f0f902675168f6c99cbed613be40069dc916c51d5f63", "language": "Shell", "lines": 37, "truncated": false, "block": 8, "row": 7457 }, { "path": "finetune/sub_script/ptbxl/sub_ptbxl.sh", "sha256": "689a26565f34c9b2afe7a552f51f6a3896af2133407537a9ef3365c527c28224", "language": "Shell", "lines": 8, "truncated": false, "block": 8, "row": 6717 }, { "path": "finetune/sub_script/ptbxl/sub_ptbxl_form.sh", "sha256": "fdb23270f7fd05c08cf1fe6560786de81b69b7a0d9db687cf44efa35f03d9886", "language": "Shell", "lines": 37, "truncated": false, "block": 8, "row": 7479 }, { "path": "finetune/sub_script/ptbxl/sub_ptbxl_rhythm.sh", "sha256": "7e0d42bedf50e20c064c210c160c4c1d6a2cbaf2c4d7d59f7924fd00e075675e", "language": "Shell", "lines": 37, "truncated": false, "block": 8, "row": 7491 }, { "path": "finetune/sub_script/ptbxl/sub_ptbxl_sub_class.sh", "sha256": "cd7644eaf9296c2c749e94c234bb883648cdb968405573b22ae82bf6f5986d86", "language": "Shell", "lines": 37, "truncated": false, "block": 8, "row": 7505 }, { "path": "finetune/sub_script/ptbxl/sub_ptbxl_super_class.sh", "sha256": "f0156b09441c1c78aa5bf908fa69c0a989477912865a248e3ac86ab32b24673d", "language": "Shell", "lines": 37, "truncated": false, "block": 8, "row": 7515 }, { "path": "finetune/sub_script/run_all_linear.sh", "sha256": "032b46a1bc122c3749b3590265fa6fc2f1790779b720ea0c1332979024b2a2d5", "language": "Shell", "lines": 14, "truncated": false, "block": 8, "row": 6724 }, { "path": "pretrain/launch.sh", "sha256": "3d5b855b11192d5c0dc604a4d790051269de41c4e19694718916cc0a43e9fafd", "language": "Shell", "lines": 5, "truncated": false, "block": 8, "row": 6544 }, { "path": "pretrain/main.py", "sha256": "47806b6140850c08e4791314f75a9668fbd16d8ee8ea1a9e3c264b468efe07b3", "language": "Python", "lines": 105, "truncated": false, "block": 6, "row": 36659 }, { "path": "pretrain/preprocess.ipynb", "sha256": "4d8b37c91e1801e00045e7f26ecb3359d73927d9d6e43a9cd391e81835a18a27", "language": "Jupyter", "lines": 115, "truncated": false, "block": 5, "row": 16776 }, { "path": "utils/resnet1d.py", "sha256": "1fb505fed1f96a05995fae8345e8bb05337ac3da165983c7bb406ab3c725777a", "language": "Python", "lines": 112, "truncated": false, "block": 6, "row": 39205 }, { "path": "utils/utils_builder.py", "sha256": "213337817cbc099e6a18b3f9730420644caee78c91ed13839ee35980d3ed23bb", "language": "Python", "lines": 188, "truncated": false, "block": 7, "row": 1192 }, { "path": "utils/utils_dataset.py", "sha256": "055ce071e7251003a1e9a34edd3e2848235e9d7ebddc74f4b754fd4f310ebd2c", "language": "Python", "lines": 250, "truncated": false, "block": 7, "row": 2017 }, { "path": "utils/utils_loss.py", "sha256": "faebb2a2036ab7e41bbc78a89cf16163bbf6da9219d9d8b1ec04e1d278a95cc5", "language": "Python", "lines": 45, "truncated": false, "block": 6, "row": 29019 }, { "path": "utils/utils_optimizer.py", "sha256": "03d9652ab5920adf11580bb4dc2c5c27d9aba0193ab80e47bfe301179d47ca15", "language": "Python", "lines": 43, "truncated": false, "block": 6, "row": 30232 }, { "path": "utils/utils_trainer.py", "sha256": "ad4be7506199a220105d540fe02036d47ff5e02c292f01c7f57d2b715a1655ef", "language": "Python", "lines": 357, "truncated": false, "block": 7, "row": 6775 }, { "path": "utils/vit1d.py", "sha256": "2fcbb2b03ca59228c0ed97d5d8151dcf165c3365d2caf68782f23d1a69dc859e", "language": "Python", "lines": 264, "truncated": false, "block": 7, "row": 2117 }, { "path": "utils/zeroshot_val.py", "sha256": "9136940cb86d79d11ee735bc2c48b3ff05de0b240c9b8d4a4df6ab62ea8c9bcb", "language": "Python", "lines": 193, "truncated": false, "block": 7, "row": 196 }, { "path": "zeroshot/test_zeroshot.py", "sha256": "85261eed10f5720d98d307f2ce9c88b0f39f68a8743760971a7e5bb848e4bfcc", "language": "Python", "lines": 49, "truncated": false, "block": 6, "row": 26909 }, { "path": "zeroshot/zeroshot.sh", "sha256": "7cd087da378a3ecc56de6471cf2f188218c0a3a9e7bb6085d443e85af8d499f9", "language": "Shell", "lines": 2, "truncated": false, "block": 8, "row": 6425 } ] }