A modular AI/ML ecosystem currently focused on statistical validation and intelligent model recomendation.
To build a modular and extensible ecosystem for machine learning workflows, from data validation to model recomendation and deployment.
-
sancheck (Sanity Check) Statistical sanity checker for datasets. Ensure data quality before modeling.
-
hemore (Heuristic Model Recomender) (coming soon) Heuristic-based model recomender. Suggests suitable ML models based on data characteristics.
- Modular design
- Reproducibility
- Practical machine learning
- Developer-friendly tooling
- Expand statistical diagnostics (SanCheck)
- HeMoRe development
- Build deployment pipeline tools
Built and maintained as part of an evolving AI/ML research and engineering journey.