{ "format": "oscr-script-manifest/1", "repository": "github.com/demonlab-biofinder/karlsson_synthetic_taupet", "url": "https://github.com/DeMONLab-BioFINDER/karlsson_synthetic_taupet", "host": "github.com", "commit": "4226694b0d3ca9d15e3a427f1f0bc49d0259a05e", "license": "CC-BY-NC-4.0", "license_confirmed_by": "license file LICENSE", "redistribution": "with_conditions", "files": [ { "path": "LICENSE", "sha256": "488b3c6c17b09f1f277a7b0a9301bdf7de68213dbf369b0d36a0be270820b893", "language": "License", "lines": 358, "truncated": false, "block": 6, "row": 2089 }, { "path": "README.md", "sha256": "e7c996947546f8e8416be7af080178756f81892ebefa4f38d3ccc1bcaac411d6", "language": "Text", "lines": 125, "truncated": false, "block": 8, "row": 10539 }, { "path": "examples/evaluate_unet.py", "sha256": "4116114c5cc5dca673464bc2a25626702a2b316b8d09f4c043921d9adccd6b32", "language": "Python", "lines": 229, "truncated": false, "block": 7, "row": 640 }, { "path": "examples/start_unet.sh", "sha256": "a65d969ccada05ff7ba2d0af78f97674c3524eaf4d6ba07fd438fbb90e5bb66f", "language": "Shell", "lines": 14, "truncated": false, "block": 8, "row": 6664 }, { "path": "examples/train_new_unet.py", "sha256": "032363d8c147ac7a0f5a51fcf37dedbb0c50ea4d4d3f01d745b092fb2d1e9b30", "language": "Python", "lines": 182, "truncated": false, "block": 6, "row": 43074 }, { "path": "notebooks/example_cases_plots.ipynb", "sha256": "15bfe8699ac4b0eff3f5dc29f49a4ff21ab5169c296c29cfd816fe175dd0b8be", "language": "Jupyter", "lines": 76, "truncated": false, "block": 5, "row": 16263 }, { "path": "notebooks/tau_load_plots.ipynb", "sha256": "2b57ab6eac078160fbfd9ea6d1cb47c3100d482026ad97877a145e44078d5b4f", "language": "Jupyter", "lines": 98, "truncated": false, "block": 5, "row": 16515 }, { "path": "notebooks/tau_spat_sim_plots.ipynb", "sha256": "5502fc0118d9f0c2f439b10feea08a91eb820f46e58274081c7909cac1c3fb55", "language": "Jupyter", "lines": 303, "truncated": false, "block": 6, "row": 129 }, { "path": "pretrained_models/unet_taupet_v1/generate_multiple_taupet.py", "sha256": "14eb56f3542d2d12c65d2a75b4cc8c1d2585870f55f38a5e0dd9597bafcd444f", "language": "Python", "lines": 148, "truncated": false, "block": 6, "row": 40981 }, { "path": "pretrained_models/unet_taupet_v1/generate_single_taupet.ipynb", "sha256": "cd3406498d9a359c4919cd562474a78117ef8134ff79e8c4d7684bd8336cb5c8", "language": "Jupyter", "lines": 138, "truncated": false, "block": 5, "row": 16675 }, { "path": "pretrained_models/unet_taupet_v1/unet3d_v1.py", "sha256": "e673685327b19c9e1b26e74d094cd70ddb3337855cc79fef585234497ddacb5f", "language": "Python", "lines": 186, "truncated": false, "block": 6, "row": 41141 }, { "path": "src/models/loss.py", "sha256": "337d6324001b0824676187715d3344da38fd26a2c2292f42a8c5f4a0060bcb3f", "language": "Python", "lines": 38, "truncated": false, "block": 6, "row": 29458 }, { "path": "src/models/train.py", "sha256": "66d1d806ac19238900c92f1b7243d10b98ed28831a8cf01d77359217bf0a29af", "language": "Python", "lines": 221, "truncated": false, "block": 7, "row": 39 }, { "path": "src/models/training_visualization.py", "sha256": "7ad74898244bc7766d51d1a818f0dbaffdddc9bb88f0c1f3f89283210b025dee", "language": "Python", "lines": 105, "truncated": false, "block": 6, "row": 38435 }, { "path": "src/models/unet3d.py", "sha256": "9e3ffa3501e038cd6dabcb2969393ff0d13508c681b35cb9a191a90a5e42d133", "language": "Python", "lines": 318, "truncated": false, "block": 7, "row": 2147 }, { "path": "src/utils/image_helpers.py", "sha256": "2c1b90ac5bc0ce89682b18a9683d806c5ab165cb9fa2384ea8ddaf7a5e727ee6", "language": "Python", "lines": 307, "truncated": false, "block": 7, "row": 3944 }, { "path": "src/utils/plot_helpers.py", "sha256": "47f6091d950c5d0649acc3891ae703b60e3b9b417ce504c18d9fa61ff73f07b0", "language": "Python", "lines": 48, "truncated": false, "block": 6, "row": 29218 } ] }