Cybersecurity-Projects/PROJECTS/advanced/ai-threat-detection/backend/app
CarterPerez-dev cf92b157f3 feat(ai-threat-detection): complete Phase 2 — ML ensemble, inference, training pipeline
Add ONNX inference engine with 3-model ensemble (autoencoder, random forest,
isolation forest), ONNX export utilities, MLflow experiment tracking, and
classifier training scripts. Extend pipeline with hybrid ML/rules detection
mode, ensemble score fusion and blending, and full test coverage for all
new components. Fix Python 3 SyntaxError in parsers.py (except clause).
2026-02-28 04:40:33 -05:00
..
api feat(ai-threat-detection): complete Phase 2 — ML ensemble, inference, training pipeline 2026-02-28 04:40:33 -05:00
core feat(ai-threat-detection): complete Phase 2 — ML ensemble, inference, training pipeline 2026-02-28 04:40:33 -05:00
models feat(ai-threat-detection): complete Phase 2 — ML ensemble, inference, training pipeline 2026-02-28 04:40:33 -05:00
schemas feat: complete Phase 1 — rule-based detection pipeline, API, Docker E2E 2026-02-18 13:02:10 -05:00
services feat(ai-threat-detection): complete Phase 2 — ML ensemble, inference, training pipeline 2026-02-28 04:40:33 -05:00
__init__.py checkpoint - phase 13 complete 2026-02-14 02:24:37 -05:00
__main__.py checkpoint - phase 13 complete 2026-02-14 02:24:37 -05:00
config.py add learn folder, move hidden files, update root readme, add learn folder, add clang tidy, and format 2026-02-26 00:38:55 -05:00
factory.py feat(ai-threat-detection): complete Phase 2 — ML ensemble, inference, training pipeline 2026-02-28 04:40:33 -05:00
main.py checkpoint - phase 13 complete 2026-02-14 02:24:37 -05:00