Database / manifests /2c /github.com__shenwanxiang__acanet.json
opsecsystems's picture
Scripts of 2026-09-29: 4 new block(s), 1817 manifest(s), 0 removed (part 2)
4c3c07f verified
Raw History Blame Contribute Delete
14 kB
{
"format": "oscr-script-manifest/1",
"repository": "github.com/shenwanxiang/acanet",
"url": "https://github.com/shenwanxiang/ACANet/tree/v3",
"host": "github.com",
"commit": "6274fa4307ce365a814ac5e93460f0afabaea200",
"license": "GPL-3.0",
"license_confirmed_by": "license file LICENSE.txt",
"redistribution": "yes",
"files": [
{
"path": "LICENSE.txt",
"sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986",
"language": "License",
"lines": 674,
"truncated": false,
"block": 1,
"row": 2235
},
{
"path": "README.md",
"sha256": "249fbc9d30cf62ac8d2d40c1c8aacd48284cef7fa63cd8557ea874e478eece3f",
"language": "Text",
"lines": 100,
"truncated": false,
"block": 8,
"row": 10302
},
{
"path": "clsar/__init__.py",
"sha256": "55dac2e72496c5a3345c7e128a17a25f44752fa4e191d53aa4cc8c66a7e8a862",
"language": "Python",
"lines": 2,
"truncated": false,
"block": 6,
"row": 20367
},
{
"path": "clsar/dataset/Untitled.ipynb",
"sha256": "4fe244c536c370068fa1dc1d073a7d8d9e77fcd931c8604513e6e91208a1a0a2",
"language": "Jupyter",
"lines": 26,
"truncated": false,
"block": 5,
"row": 15967
},
{
"path": "clsar/dataset/__init__.py",
"sha256": "4685a6eb9a854d4f66bebef09b557855601272d02587802b8a4dfa625366e063",
"language": "Python",
"lines": 1,
"truncated": false,
"block": 6,
"row": 20229
},
{
"path": "clsar/dataset/data.py",
"sha256": "9ed8928c591e218523166b8ff0e488dc14230123121069b7767ff13df73e0499",
"language": "Python",
"lines": 462,
"truncated": false,
"block": 7,
"row": 7837
},
{
"path": "clsar/feature/__init__.py",
"sha256": "4e73c45b02e3af5b9caef6dd89a9b594fd6151f18f70e165e48cb0f8fbc1bc63",
"language": "Python",
"lines": 1,
"truncated": false,
"block": 6,
"row": 20318
},
{
"path": "clsar/feature/featurizer.py",
"sha256": "805892ece4b6ffe79b385fe67482f621ed81738774dc9ec37bbc210c1ee68037",
"language": "Python",
"lines": 162,
"truncated": false,
"block": 6,
"row": 42323
},
{
"path": "clsar/main.py",
"sha256": "d623f442d8b1dd4d0f30ac5da0dba3a8a477354acc32340eda5d80fbb21e01ac",
"language": "Python",
"lines": 553,
"truncated": false,
"block": 7,
"row": 8931
},
{
"path": "clsar/model/loss.py",
"sha256": "ad7e1722383fb85693bfd821b0c5f32827f4cb2867c591865569c445c640df37",
"language": "Python",
"lines": 612,
"truncated": false,
"block": 7,
"row": 9639
},
{
"path": "clsar/model/loss_tf.py",
"sha256": "9ebf9fe2d8c415b7e8626afd2a4ddb9c38170449c84873e24706e8f3b3eb3705",
"language": "Python",
"lines": 191,
"truncated": false,
"block": 7,
"row": 588
},
{
"path": "clsar/model/model.py",
"sha256": "f27f186a3bfe3b7c64303fcfcc0032aea6f0dc08edcd7e2ff71eabd6f99050fc",
"language": "Python",
"lines": 293,
"truncated": false,
"block": 7,
"row": 5277
},
{
"path": "clsar/model/saver.py",
"sha256": "a0edd7738b35cfe38f7f4bf2978989c68ad22aba6c8fb4f7477b78d0a25527e4",
"language": "Python",
"lines": 61,
"truncated": false,
"block": 6,
"row": 32453
},
{
"path": "clsar/model/train.py",
"sha256": "07a7451cd6391b9e6c5d4d94b501ff55f6ee23b666da41cb9c0fc478d84ec7a6",
"language": "Python",
"lines": 57,
"truncated": false,
"block": 6,
"row": 31407
},
{
"path": "clsar/utils/plot.py",
"sha256": "2c316b938c67718959237ce0fc6c5947123d46eb69c699f7c467ee344972bf24",
"language": "Python",
"lines": 132,
"truncated": false,
"block": 6,
"row": 40023
},
{
"path": "experiment/00_Poc/mae/00_PNA/PNA_run.ipynb",
"sha256": "3f890be03823eb97429149de406c246a422e8a2937c53627a2b1c18a6c85a204",
"language": "Jupyter",
"lines": 387,
"truncated": false,
"block": 6,
"row": 205
},
{
"path": "experiment/00_Poc/mae/01_GAT/GAT_run.ipynb",
"sha256": "1e80d3dc0b7e2535e0a6a2c8bb2eca29b2e4c4d105656c6192b4a5bb12da8a14",
"language": "Jupyter",
"lines": 387,
"truncated": false,
"block": 6,
"row": 210
},
{
"path": "experiment/00_Poc/mae/02_GCN/GCN_run.ipynb",
"sha256": "b6c83ec735bb10edd56c2b0df2969ce80b67c68856887b1fab063d9ba6c24859",
"language": "Jupyter",
"lines": 385,
"truncated": false,
"block": 6,
"row": 215
},
{
"path": "experiment/00_Poc/mae/03_GIN/GIN_run.ipynb",
"sha256": "595f823669318d75fbe3ccb58e9043ae3345c3a486ad8faca2d5b76795658e81",
"language": "Jupyter",
"lines": 389,
"truncated": false,
"block": 6,
"row": 223
},
{
"path": "experiment/00_Poc/mae/summary.ipynb",
"sha256": "308dfa8da4641f4ca2bcdba07c35344c4a0d89cc10628c489ae3a91f3e1ef0b9",
"language": "Jupyter",
"lines": 528,
"truncated": false,
"block": 6,
"row": 565
},
{
"path": "experiment/00_Poc/mse/00_PNA/PNA_run.ipynb",
"sha256": "e4063fba4d9c92d9e371b5c0b36405921ebc71cf94befa9ee365416732bbed51",
"language": "Jupyter",
"lines": 383,
"truncated": false,
"block": 6,
"row": 202
},
{
"path": "experiment/00_Poc/mse/01_GAT/GAT_run.ipynb",
"sha256": "4185f92acdc2258b2e0360882318e6b930a4527beb8b0134d3e0453a9ee81add",
"language": "Jupyter",
"lines": 387,
"truncated": false,
"block": 6,
"row": 213
},
{
"path": "experiment/00_Poc/mse/02_GCN/GCN_run.ipynb",
"sha256": "fa8dd2af9a7f870e9121897fcc9f01b47720bd7b7a57114a1d29feb84edfb303",
"language": "Jupyter",
"lines": 385,
"truncated": false,
"block": 6,
"row": 217
},
{
"path": "experiment/00_Poc/mse/03_GIN/GIN_run.ipynb",
"sha256": "15acf9a32aa9c0fd98cf06cfc54b36940af56a253ff95b2eed186d9c7e4cd662",
"language": "Jupyter",
"lines": 389,
"truncated": false,
"block": 6,
"row": 225
},
{
"path": "experiment/00_Poc/mse/summary.ipynb",
"sha256": "c2cc1504ea3838c98a7543dc36c93d674e764e3fde6dcbe410f58da4b697865a",
"language": "Jupyter",
"lines": 539,
"truncated": false,
"block": 6,
"row": 566
},
{
"path": "experiment/00_Poc/plot_space.ipynb",
"sha256": "029011a9e784e3c755e6e5fe996a63c507826fc2860b8c517da23b0afe7bf800",
"language": "Jupyter",
"lines": 49,
"truncated": false,
"block": 5,
"row": 16181
},
{
"path": "experiment/00_test/00_env_test.ipynb",
"sha256": "16da9a5501855e237e9059db6dff9f0ed712c5010c5fc1d5d3af9ab5b55976ba",
"language": "Jupyter",
"lines": 35,
"truncated": false,
"block": 5,
"row": 15971
},
{
"path": "experiment/00_test/01_test_dataset.ipynb",
"sha256": "3fec851ed442d79882663c5007d9712cb6bb1dd6567057016752c6e269787604",
"language": "Jupyter",
"lines": 62,
"truncated": false,
"block": 5,
"row": 16109
},
{
"path": "experiment/00_test/01_test_features.ipynb",
"sha256": "8e9eb15869027ba1bd54fa18e2daa31dfa140f9ae1415c96f031eea4ce53843c",
"language": "Jupyter",
"lines": 123,
"truncated": false,
"block": 5,
"row": 16529
},
{
"path": "experiment/00_test/02_test_models.ipynb",
"sha256": "9eb87cf8a3781bd61fdcbd83605286fff8f016828f0047bef8956ef05d232741",
"language": "Jupyter",
"lines": 197,
"truncated": false,
"block": 5,
"row": 17035
},
{
"path": "experiment/00_test/03_test_loss.ipynb",
"sha256": "4d45e551bac2ac234e8f73610ed627c6e67e35249f3f066934aff70daf0d8a90",
"language": "Jupyter",
"lines": 231,
"truncated": false,
"block": 5,
"row": 17386
},
{
"path": "experiment/00_test/04_test_loss_HSSMS.ipynb",
"sha256": "9cfb79a2c3484071869eef6e111a3f7c99a383670b1a58e0f604284ec38eb309",
"language": "Jupyter",
"lines": 190,
"truncated": false,
"block": 5,
"row": 17301
},
{
"path": "experiment/00_test/quick_start.ipynb",
"sha256": "9cfb79a2c3484071869eef6e111a3f7c99a383670b1a58e0f604284ec38eb309",
"language": "Jupyter",
"lines": 190,
"truncated": false,
"block": 5,
"row": 17301
},
{
"path": "experiment/01_Parameter_studies/01_Altering_cliff_alpha=1/00_analysis_cliff_trps.ipynb",
"sha256": "293eda167c3df448a216d1248560e16d6a1048b1f7e40d4ba242538fcb551eb6",
"language": "Jupyter",
"lines": 233,
"truncated": false,
"block": 5,
"row": 17293
},
{
"path": "experiment/01_Parameter_studies/01_Altering_cliff_alpha=1/01_results_analysis_braf-Copy1.ipynb",
"sha256": "6eb5fdb6d1aae314b566c653296b03f7d70f13e05ccf67972f5c233227cc3035",
"language": "Jupyter",
"lines": 197,
"truncated": false,
"block": 5,
"row": 16942
},
{
"path": "experiment/01_Parameter_studies/01_Altering_cliff_alpha=1/01_results_analysis_braf.ipynb",
"sha256": "384b062ea3c1781c9d6034e84fba720354885b2e0b565de9e8e59c76b514e52e",
"language": "Jupyter",
"lines": 194,
"truncated": false,
"block": 5,
"row": 16896
},
{
"path": "experiment/01_Parameter_studies/01_Altering_cliff_alpha=1/01_results_analysis_other.ipynb",
"sha256": "212102619e088f26274cb18da9d2801f3ba8184f7eb180aa8782f10f67708886",
"language": "Jupyter",
"lines": 166,
"truncated": false,
"block": 5,
"row": 16799
},
{
"path": "experiment/01_Parameter_studies/01_Altering_cliff_alpha=1/cliff_change_gpu1_bt128.py",
"sha256": "a06e03981a906c217ea9e3df3b927bdc805c9c531713e4a866148244ddbd9839",
"language": "Python",
"lines": 214,
"truncated": false,
"block": 7,
"row": 31
},
{
"path": "experiment/01_Parameter_studies/01_Altering_cliff_alpha=1/cliff_change_gpu1_bt128_other.py",
"sha256": "fa1f0c3df9b066efd5693a0a0a77603eb47877134d08edaaf9ca3ea353b3e23a",
"language": "Python",
"lines": 214,
"truncated": false,
"block": 7,
"row": 126
},
{
"path": "experiment/01_Parameter_studies/02_Altering_alpha_cliff=1/01_mae_test_alpha.py",
"sha256": "0570abf5eaf20859f5ec651047faa51df608a1f129d2a524963c5d60eb2758f8",
"language": "Python",
"lines": 209,
"truncated": false,
"block": 6,
"row": 45601
},
{
"path": "experiment/01_Parameter_studies/02_Altering_alpha_cliff=1/analysisi.ipynb",
"sha256": "ba56a8aa746cf69d01429abf5dc5c064568ec0e2b065d70571d9fb9da9c3766d",
"language": "Jupyter",
"lines": 145,
"truncated": false,
"block": 5,
"row": 16452
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/.ipynb_checkpoints/01_braf_chemical_space-checkpoint.ipynb",
"sha256": "a2b4daae966f1565f33f90a49544cf3ad5c73ddb4a261368fe7b42490d2aa0f8",
"language": "Jupyter",
"lines": 366,
"truncated": false,
"block": 5,
"row": 17426
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/.ipynb_checkpoints/02_braf_latent_space_no_aca-checkpoint.ipynb",
"sha256": "a24744ba276d763ee73c34d26a9ffb3ca2d664e788bdd6db4055bc5fb5ce3f88",
"language": "Jupyter",
"lines": 353,
"truncated": false,
"block": 5,
"row": 17644
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/.ipynb_checkpoints/03_braf_latent_space_with_aca-checkpoint.ipynb",
"sha256": "a7d6e93c84678cdaf858ec937e8349146269f8e3c331b80024c149decf89c969",
"language": "Jupyter",
"lines": 329,
"truncated": false,
"block": 5,
"row": 17625
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/.ipynb_checkpoints/04_loss_comparsion-checkpoint.ipynb",
"sha256": "9b9c93b35e79ffbc4a2330bef6e51bcf0f1e513ec2e9cdacc8c6faef4eb2e403",
"language": "Jupyter",
"lines": 78,
"truncated": false,
"block": 5,
"row": 16233
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/.ipynb_checkpoints/05_label_coherence-checkpoint.ipynb",
"sha256": "aead6a4a6be0a58c0d5bab5ed954ce9f8d41371a6628810a233cf086e7e4dada",
"language": "Jupyter",
"lines": 113,
"truncated": false,
"block": 5,
"row": 16379
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/.ipynb_checkpoints/debug-checkpoint.ipynb",
"sha256": "3588a81af3b14ebd9e0f2e7140ca66bd732cf5a3b06ebaa920ffbcdf3b977d71",
"language": "Jupyter",
"lines": 248,
"truncated": false,
"block": 5,
"row": 17353
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/01_braf_chemical_space.ipynb",
"sha256": "fa98c3a174a038bcc38d8a8f20e8f4a3ecaa2e368267cedcbd4124ad7b9d3029",
"language": "Jupyter",
"lines": 361,
"truncated": false,
"block": 5,
"row": 17412
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/02_braf_latent_space_no_aca.ipynb",
"sha256": "273d452e304402dbceb5cc9e17a98485ca248b2f2cbd3a2ddc7077542e620b6c",
"language": "Jupyter",
"lines": 346,
"truncated": false,
"block": 5,
"row": 17636
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/03_braf_latent_space_with_aca.ipynb",
"sha256": "a7d6e93c84678cdaf858ec937e8349146269f8e3c331b80024c149decf89c969",
"language": "Jupyter",
"lines": 329,
"truncated": false,
"block": 5,
"row": 17625
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/04_loss_comparsion.ipynb",
"sha256": "9b9c93b35e79ffbc4a2330bef6e51bcf0f1e513ec2e9cdacc8c6faef4eb2e403",
"language": "Jupyter",
"lines": 78,
"truncated": false,
"block": 5,
"row": 16233
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/05_label_coherence.ipynb",
"sha256": "7d36ae30213f2201d0f82f2a985965f4bbd24f831bd9a5bd82bc12a1a20b3584",
"language": "Jupyter",
"lines": 112,
"truncated": false,
"block": 5,
"row": 16378
},
{
"path": "experiment/01_Parameter_studies/03_embedding_space/debug.ipynb",
"sha256": "85dd1a49744f0fd714d8874f0a06f016e17e6cd6a03f0fefbd2d8bceda4250a4",
"language": "Jupyter",
"lines": 223,
"truncated": false,
"block": 5,
"row": 17201
},
{
"path": "experiment/01_Parameter_studies/04_embedding_space_hssms/01_run_lii.ipynb",
"sha256": "9f2b51bc28251d6b1a1503193d71e2e49316c2880fb9344461f102896770b5d1",
"language": "Jupyter",
"lines": 399,
"truncated": false,
"block": 6,
"row": 484
}
]
}