Download manifests/10/github.com__li-lab-sustech__lunar.json from OpenScientificCodeRegistry/Database: direct link, hf CLI and curl.
- Browser
- Download file 12.2 kB
-
https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/10/github.com__li-lab-sustech__lunar.json
- Command line
-
hf download hf://datasets/OpenScientificCodeRegistry/Database/manifests/10/github.com__li-lab-sustech__lunar.json
-
curl -L -o github.com__li-lab-sustech__lunar.json https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/10/github.com__li-lab-sustech__lunar.json
12.2 kB
| { | |
| "format": "oscr-script-manifest/1", | |
| "repository": "github.com/li-lab-sustech/lunar", | |
| "url": "https://github.com/Li-Lab-SUSTech/LUNAR", | |
| "host": "github.com", | |
| "commit": "a6030006892a2be8a862aa3e8d7bf03f7d3a0f12", | |
| "license": "GPL-3.0", | |
| "license_confirmed_by": "license file LICENSE", | |
| "redistribution": "yes", | |
| "files": [ | |
| { | |
| "path": "LICENSE", | |
| "sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986", | |
| "language": "License", | |
| "lines": 674, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 2235 | |
| }, | |
| { | |
| "path": "README.md", | |
| "sha256": "361d04b6df4e7284fbf37b381322985dd1b14e9578f913e547a12e5171cc4bf0", | |
| "language": "Text", | |
| "lines": 136, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 10530 | |
| }, | |
| { | |
| "path": "ailoc/common/__init__.py", | |
| "sha256": "3b569a29d4808a6e6fc5d9b8f7e7005ed0ea9f12bd4f85fe35bb5cf39f57da2b", | |
| "language": "Python", | |
| "lines": 13, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 22337 | |
| }, | |
| { | |
| "path": "ailoc/common/analyzer.py", | |
| "sha256": "c97fb7fcadc5a0c58e821a0f11dc0e32320598a2c3f722abe60452f4165faac4", | |
| "language": "Python", | |
| "lines": 1824, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 949 | |
| }, | |
| { | |
| "path": "ailoc/common/assess.py", | |
| "sha256": "2266677ce53f4192b32b361741fd8715e9a7682429f891f4beaf89c189948e9d", | |
| "language": "Python", | |
| "lines": 470, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9448 | |
| }, | |
| { | |
| "path": "ailoc/common/csv_utils.py", | |
| "sha256": "4d3c6e81a5efc4ab8d4a284179d6747e8e5129cb41321e76bf8e027d624f764b", | |
| "language": "Python", | |
| "lines": 129, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44231 | |
| }, | |
| { | |
| "path": "ailoc/common/local_tifffile.py", | |
| "sha256": "559ff355affd644bd605b76ac55e032f91d967ea994bd010cb910a5a87fab493", | |
| "language": "Python", | |
| "lines": 5128, | |
| "truncated": true, | |
| "block": 8, | |
| "row": 1201 | |
| }, | |
| { | |
| "path": "ailoc/common/notebook_gui.py", | |
| "sha256": "cfca2c936a372a0c395ed55de8aba4636ffdc0ae893286f8b38e93f2124b1f60", | |
| "language": "Python", | |
| "lines": 1053, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 454 | |
| }, | |
| { | |
| "path": "ailoc/common/plot_funcs.py", | |
| "sha256": "cd3443a4e546d451765fff0abf9cb701eae0b134dd3ae675db5dd02ff18d446a", | |
| "language": "Python", | |
| "lines": 773, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 10559 | |
| }, | |
| { | |
| "path": "ailoc/common/post_process.py", | |
| "sha256": "913c819c84acb0a867b899105416e537ef05f21653a1d478351dcd1d053379a9", | |
| "language": "Python", | |
| "lines": 858, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 11696 | |
| }, | |
| { | |
| "path": "ailoc/common/preprocess.py", | |
| "sha256": "f2b83a7717286730ac4804b896d64fc3f3e2572e944d89e66a6ac1ae9a20c26d", | |
| "language": "Python", | |
| "lines": 594, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 10058 | |
| }, | |
| { | |
| "path": "ailoc/common/utilities.py", | |
| "sha256": "4d6ea8e459b56da7d240ec631d2510d53b3c89ce33470d1a02aebf8823af24cc", | |
| "language": "Python", | |
| "lines": 633, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9712 | |
| }, | |
| { | |
| "path": "ailoc/common/vectorpsf_fit.py", | |
| "sha256": "e2ca552b1581e48b337f81198c2b0f48dbbab761a2b9eca1dc2e2faa95499092", | |
| "language": "Python", | |
| "lines": 369, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 7343 | |
| }, | |
| { | |
| "path": "ailoc/common/xxloc.py", | |
| "sha256": "812374e97e1bd9ff2279ba9707821cdaba6029c6cdb472902e299b6ea59f8177", | |
| "language": "Python", | |
| "lines": 89, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 32583 | |
| }, | |
| { | |
| "path": "ailoc/decode/__init__.py", | |
| "sha256": "a57c192da44e15da055ba1af84f6bf951c2a7fe91097f9e4c62a7c0516e94269", | |
| "language": "Python", | |
| "lines": 3, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 20691 | |
| }, | |
| { | |
| "path": "ailoc/decode/decode.py", | |
| "sha256": "1b2f8db4e6d67eb88a582dc3419ba5e8ba0083a515fe048e047c1541e60a5a67", | |
| "language": "Python", | |
| "lines": 405, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 8634 | |
| }, | |
| { | |
| "path": "ailoc/decode/loss.py", | |
| "sha256": "dcb1a1a7a0055ee2de55602e8b1f1699a9513882cee47746e787ea60b2675b98", | |
| "language": "Python", | |
| "lines": 86, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 37222 | |
| }, | |
| { | |
| "path": "ailoc/decode/network.py", | |
| "sha256": "ea244312007e2fd63daa1a5e3a76896c6968f6bf753d81a7b9a86c9a1af87737", | |
| "language": "Python", | |
| "lines": 278, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 4541 | |
| }, | |
| { | |
| "path": "ailoc/deeploc/__init__.py", | |
| "sha256": "c8138ab6aaf5e310ad1c3e9dcd38d184aff1e626be1383c8b2232a710e21ee98", | |
| "language": "Python", | |
| "lines": 3, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 20707 | |
| }, | |
| { | |
| "path": "ailoc/deeploc/deeploc.py", | |
| "sha256": "97e34a47c1b41d5b29696e9ebe3d4fd00b3e9b6d39194960eb5eb159ff5ad8e8", | |
| "language": "Python", | |
| "lines": 690, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 11294 | |
| }, | |
| { | |
| "path": "ailoc/deeploc/loss.py", | |
| "sha256": "dcb1a1a7a0055ee2de55602e8b1f1699a9513882cee47746e787ea60b2675b98", | |
| "language": "Python", | |
| "lines": 86, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 37222 | |
| }, | |
| { | |
| "path": "ailoc/deeploc/network.py", | |
| "sha256": "7d1439bc4e3272b1f8b4edbbfd638e2eb8ef8835ca7bf1e9066a7b7e38fcab6f", | |
| "language": "Python", | |
| "lines": 282, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 4760 | |
| }, | |
| { | |
| "path": "ailoc/deepstorm3d/__init__.py", | |
| "sha256": "f91b83dc8c9e211c964241719feca56139f45b629661d5a49bb7c3b74c8d3a2f", | |
| "language": "Python", | |
| "lines": 4, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 21032 | |
| }, | |
| { | |
| "path": "ailoc/deepstorm3d/deepstorm3d.py", | |
| "sha256": "a7fce7cbd51c685309c03ee26d340fde9aee05e8f49f31f9f4c4151d71851c97", | |
| "language": "Python", | |
| "lines": 594, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 10660 | |
| }, | |
| { | |
| "path": "ailoc/deepstorm3d/loss.py", | |
| "sha256": "55eeed581da638870ae449de55c2df12158c0606d4d8e72684f40c9d8497d4ba", | |
| "language": "Python", | |
| "lines": 112, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 37654 | |
| }, | |
| { | |
| "path": "ailoc/deepstorm3d/network.py", | |
| "sha256": "b116bf47507a37be6d38004bcc14cd7a2fea71cdfc1927fb6153c3615bfbc141", | |
| "language": "Python", | |
| "lines": 107, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 39737 | |
| }, | |
| { | |
| "path": "ailoc/deepstorm3d/postprocess_utils.py", | |
| "sha256": "b38ba96a54e14b0fb8525491cde6d48647792c4871c71c31359398bb1558a164", | |
| "language": "Python", | |
| "lines": 165, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44792 | |
| }, | |
| { | |
| "path": "ailoc/lunar/__init__.py", | |
| "sha256": "4ca4fff0af5af579ceddeb0cf4f831a2e956e5e58f34fe2e5cd844ce1d56cd50", | |
| "language": "Python", | |
| "lines": 5, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 21033 | |
| }, | |
| { | |
| "path": "ailoc/lunar/loss.py", | |
| "sha256": "71e92353d493b1d40c545fc1460436e0ce17a9b6478594d0efca55646a657481", | |
| "language": "Python", | |
| "lines": 109, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 40052 | |
| }, | |
| { | |
| "path": "ailoc/lunar/lunar.py", | |
| "sha256": "17853f43f755792383eb0bdc8ca593b944008530d5af56ebbeee94f040324346", | |
| "language": "Python", | |
| "lines": 1819, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 1009 | |
| }, | |
| { | |
| "path": "ailoc/lunar/network.py", | |
| "sha256": "75d92dea3ac0f4a754a3a448c49b9c5e2016b27a423a65d26c0529d8b2de9532", | |
| "language": "Python", | |
| "lines": 373, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 7240 | |
| }, | |
| { | |
| "path": "ailoc/lunar/sub_modules.py", | |
| "sha256": "1b6b99d5480fecbdfd6599c432c3c3e81e75f5e00d02ff9a16f071ae2afd727b", | |
| "language": "Python", | |
| "lines": 599, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9710 | |
| }, | |
| { | |
| "path": "ailoc/lunar/transformer.py", | |
| "sha256": "95e8572498527161be79be7cfafea9961189b364bba32e8973bc0ea3b9232d3d", | |
| "language": "Python", | |
| "lines": 451, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 7429 | |
| }, | |
| { | |
| "path": "ailoc/simulation/__init__.py", | |
| "sha256": "1f71fb7a0ec78ab0a4ba6531ec2b069cba8bf0dc84ea959ea8581c4f80417717", | |
| "language": "Python", | |
| "lines": 5, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 21218 | |
| }, | |
| { | |
| "path": "ailoc/simulation/camera.py", | |
| "sha256": "932e3f0c3a2b561588fbd2994d3544982c1432272f25379be96d1d3259aacdcb", | |
| "language": "Python", | |
| "lines": 179, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 43288 | |
| }, | |
| { | |
| "path": "ailoc/simulation/mol_sampler.py", | |
| "sha256": "039160654a13c18d668d7092700c3cf2f698ce0f478c24aff36d495fbf2edd4e", | |
| "language": "Python", | |
| "lines": 504, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9943 | |
| }, | |
| { | |
| "path": "ailoc/simulation/simu_testdata.py", | |
| "sha256": "b162b763b6d447602f8babaa3c235f72a4387f3d1a313b94b6f6d9124404a112", | |
| "language": "Python", | |
| "lines": 493, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 8227 | |
| }, | |
| { | |
| "path": "ailoc/simulation/simulator.py", | |
| "sha256": "1b27312531efa6737ef57227b4fa938d49ff5e7a560c7d446c88ed6fffba90bd", | |
| "language": "Python", | |
| "lines": 277, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 6088 | |
| }, | |
| { | |
| "path": "ailoc/simulation/vectorpsf.py", | |
| "sha256": "4ba7bf1e009ae818bb71af40097338d9a074a28819a2cea5191bdb965b2eda62", | |
| "language": "Python", | |
| "lines": 1560, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 864 | |
| }, | |
| { | |
| "path": "demos/demo1-simu_tubulin_tetra6.py", | |
| "sha256": "f38e80eea68cb474c617c9c2dac939d6bfdd9209fa5877a3f1ebbf036e220794", | |
| "language": "Python", | |
| "lines": 543, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9340 | |
| }, | |
| { | |
| "path": "demos/demo2.1-psf_calibration.py", | |
| "sha256": "540035959f9a5145ae7887b84df0a082126a1bad9facf2349f4f17590cfb7145", | |
| "language": "Python", | |
| "lines": 62, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 33217 | |
| }, | |
| { | |
| "path": "demos/demo2.2-exp_npc_dmo1.2.py", | |
| "sha256": "b313b57dca205ff1c4390fbf0c0d3f77b1ede40b8f9928df0435b1f47376c17d", | |
| "language": "Python", | |
| "lines": 451, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 8334 | |
| }, | |
| { | |
| "path": "demos/demo3-exp_whole_cell_tetra6.py", | |
| "sha256": "39f8a66ef8cbb63b9f163966160f0f76680343c9ff1302e8db38aafbd0e895ba", | |
| "language": "Python", | |
| "lines": 341, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 6167 | |
| }, | |
| { | |
| "path": "demos/demo4.1-GUI_psf_calibration.ipynb", | |
| "sha256": "4c3912c315de56f3ad8dbb75eea035cb75473cab04ea62baab0a6023f7621471", | |
| "language": "Jupyter", | |
| "lines": 27, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 16010 | |
| }, | |
| { | |
| "path": "demos/demo4.2-GUI_learning.ipynb", | |
| "sha256": "fca551bb24a770371292380c029daa11a6badb6360e304cae2b293a4f5cc96d8", | |
| "language": "Jupyter", | |
| "lines": 129, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 16893 | |
| }, | |
| { | |
| "path": "demos/demo4.3-GUI_inference.ipynb", | |
| "sha256": "ed0cb68114b4f9389bdd720131ca9b77947e252f534ee3c2916935e0b2ff47ad", | |
| "language": "Jupyter", | |
| "lines": 65, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 16346 | |
| }, | |
| { | |
| "path": "usages/notebook/inference.ipynb", | |
| "sha256": "e0f194363ec048ed867f529a01c663136c38affa2531de9c84b50518a56fe0e5", | |
| "language": "Jupyter", | |
| "lines": 68, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 16444 | |
| }, | |
| { | |
| "path": "usages/notebook/learning.ipynb", | |
| "sha256": "6503b0de2b1604391d444cdd0508fbb22c5e8cf4b66ca51c9bb69bcb6b161c64", | |
| "language": "Jupyter", | |
| "lines": 139, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 16958 | |
| }, | |
| { | |
| "path": "usages/notebook/psf_calibration.ipynb", | |
| "sha256": "b0b2e63bf2440d43f4354df37bb3464874e25e166e3abcc686d6a0f9c4691f3b", | |
| "language": "Jupyter", | |
| "lines": 27, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 16012 | |
| }, | |
| { | |
| "path": "usages/pyscripts/deeploc_usage.py", | |
| "sha256": "19d3389cfa6c3f64cc76b76f8cb44ef456bea698918f5cf3adea0fa0b0dee67f", | |
| "language": "Python", | |
| "lines": 270, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 4542 | |
| }, | |
| { | |
| "path": "usages/pyscripts/lunar_usage.py", | |
| "sha256": "ae3896b912c0bff47d7eb42a5e4d9a5e9e17ce9eace413629d48ec4a899adf69", | |
| "language": "Python", | |
| "lines": 584, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9795 | |
| }, | |
| { | |
| "path": "usages/pyscripts/psf_calibration.py", | |
| "sha256": "b3c4535c876d3af514849a8f94b18799ec2f8597992f030a171de4496ba8a335", | |
| "language": "Python", | |
| "lines": 64, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 33280 | |
| } | |
| ] | |
| } |