Download manifests/2a/github.com__daskalos-apps__anomaly-detectors.json from OpenScientificCodeRegistry/Database: direct link, hf CLI and curl.
- Browser
- Download file 5.48 kB
-
https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/2a/github.com__daskalos-apps__anomaly-detectors.json
- Command line
-
hf download hf://datasets/OpenScientificCodeRegistry/Database/manifests/2a/github.com__daskalos-apps__anomaly-detectors.json
-
curl -L -o github.com__daskalos-apps__anomaly-detectors.json https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/2a/github.com__daskalos-apps__anomaly-detectors.json
5.48 kB
| { | |
| "format": "oscr-script-manifest/1", | |
| "repository": "github.com/daskalos-apps/anomaly-detectors", | |
| "url": "https://github.com/Daskalos-Apps/Anomaly-Detectors", | |
| "host": "github.com", | |
| "commit": "f14e8ab968c54bf2847dcd382a4ccd1e2f0402b1", | |
| "license": "MIT", | |
| "license_confirmed_by": "license file LICENSE", | |
| "redistribution": "yes", | |
| "files": [ | |
| { | |
| "path": "Enhanced-HTTP-Anomaly-Detection/ai-detection-engine/enhanced_detector.py", | |
| "sha256": "2cf8157daa3ee5869d3fe89ac1f10f5527bb987faa9f0213298e6af2e9cb33c3", | |
| "language": "Python", | |
| "lines": 470, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 6390 | |
| }, | |
| { | |
| "path": "Enhanced-HTTP-Anomaly-Detection/ai-detection-engine/http_feature_extractor.py", | |
| "sha256": "7ceecd41e408f5031fe729269b0cfc88d08973e28e3e607972250a0ce5fdf418", | |
| "language": "Python", | |
| "lines": 389, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 5575 | |
| }, | |
| { | |
| "path": "Enhanced-HTTP-Anomaly-Detection/ai-detection-engine/model_manager.py", | |
| "sha256": "a50ee7c0e6eb9a2241a65f32051490a691ad041ed32d250392bffee937dc0b05", | |
| "language": "Python", | |
| "lines": 32, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 25877 | |
| }, | |
| { | |
| "path": "Enhanced-HTTP-Anomaly-Detection/ai-detection-engine/preprocessor.py", | |
| "sha256": "714382ade3eb9636710db01d9eed85df84acd07de276495b6917e2580b7017bb", | |
| "language": "Python", | |
| "lines": 125, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 39175 | |
| }, | |
| { | |
| "path": "Enhanced-HTTP-Anomaly-Detection/ai-detection-engine/utils.py", | |
| "sha256": "b417d401bd9977f82d69f626e3e2dfa3ffbd56e5465c86530a689627b86cb490", | |
| "language": "Python", | |
| "lines": 205, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 43911 | |
| }, | |
| { | |
| "path": "Enhanced-HTTP-Anomaly-Detection/benchmark.py", | |
| "sha256": "5d603c33b713d4017a1663335a31f8cb36d522b3c509bf4c1ebabb4fb65f848b", | |
| "language": "Python", | |
| "lines": 240, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 242 | |
| }, | |
| { | |
| "path": "Enhanced-HTTP-Anomaly-Detection/setup.py", | |
| "sha256": "7ccf9f0a9763fcdb70c478a2f30b161fc79d96d532327e70a1cfb538f1844baa", | |
| "language": "Python", | |
| "lines": 63, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 31895 | |
| }, | |
| { | |
| "path": "LICENSE", | |
| "sha256": "06dcddbb6908a0c6dd4a9e8ec822eea41d5a460a53089fecccc8a68049e99241", | |
| "language": "License", | |
| "lines": 21, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 1326 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/ai-detection-engine/ai_detection_engine.py", | |
| "sha256": "d8f60f0f8f11f9d62e2cdff2c1282c1c3211ec3e1b10e9998c22222618851b62", | |
| "language": "Python", | |
| "lines": 205, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 1237 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/ai-detection-engine/model_manager.py", | |
| "sha256": "a50ee7c0e6eb9a2241a65f32051490a691ad041ed32d250392bffee937dc0b05", | |
| "language": "Python", | |
| "lines": 32, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 25877 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/ai-detection-engine/preprocessor.py", | |
| "sha256": "714382ade3eb9636710db01d9eed85df84acd07de276495b6917e2580b7017bb", | |
| "language": "Python", | |
| "lines": 125, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 39175 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/ai-detection-engine/utils.py", | |
| "sha256": "b417d401bd9977f82d69f626e3e2dfa3ffbd56e5465c86530a689627b86cb490", | |
| "language": "Python", | |
| "lines": 205, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 43911 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/fl-agent/FLAgent.py", | |
| "sha256": "1904f6938087af7d90fc5b560c438dc74ac02e9e5201221dc9bf41151fd01ea5", | |
| "language": "Python", | |
| "lines": 52, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 29350 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/fl-agent/FLClient.py", | |
| "sha256": "da9b9d35de65b3bd87767ac74a1040bf5aaa73b71d4ad3f1bc5c37ffb310a409", | |
| "language": "Python", | |
| "lines": 194, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44472 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/fl-agent/model_manager.py", | |
| "sha256": "575072a9f8a7906193735a55a8997ca0689dc5c72902f6fe35a15fb41548fbc0", | |
| "language": "Python", | |
| "lines": 54, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 30054 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/fl-agent/preprocessor.py", | |
| "sha256": "593bb8aac3d8936858cf84163d2d4add7d074c3e4488d7c5abc73108a5f0b527", | |
| "language": "Python", | |
| "lines": 165, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 42299 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/fl-agent/utils.py", | |
| "sha256": "83e37feb77a3e19905ddb120291a698405beb2b620767df63b9a26e661d4af8d", | |
| "language": "Python", | |
| "lines": 183, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 42891 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/fl-aggregator/CustomDPFedAvg.py", | |
| "sha256": "5d35e4e98b3316a17d307040436d28d4d4fdd7c18ef3e679cb142beaeaa64a56", | |
| "language": "Python", | |
| "lines": 25, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 25545 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/fl-aggregator/FLAggregator.py", | |
| "sha256": "2ace48b0c2a7a69eef7adff3f4fe5ab596dca73222b6160ed9d188fb523ad2ea", | |
| "language": "Python", | |
| "lines": 85, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 35070 | |
| }, | |
| { | |
| "path": "UMU-T4.3-FL-Anomaly-Detection/fl-aggregator/utils.py", | |
| "sha256": "ea296337057fdf0b4dd71fc49868f1e37602b0d704c1e496feabd08c4e4f1b11", | |
| "language": "Python", | |
| "lines": 65, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 31416 | |
| } | |
| ] | |
| } |