I
imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Project.
Catalog snapshot
- License
- MIT
- Platforms
- Linux
- Docker
- No
- Commercial use
- Allowed
- Stars
- 1.6k
- Language
- Jupyter Notebook
- Last commit
Repository health snapshot: 141 forks and 6 open issues at review time. Platform support is inferred conservatively from repository topics.
About.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible). Fossfits includes imodels as an actively maintained llm infra option: its public repository was updated on 2026-09-11, uses the MIT license, and had 1,619 stars when reviewed. Check its documentation and release notes before production adoption.
ai · artificial intelligence · bayesian rule list · data science · explainable ai
