📈 GH Trending Explorer 🎲 Surprise me

Search: package · Language: Jupyter Notebook · clear

csinva / imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

▲ ~0/7d ★ 1.6k Jupyter Notebook today
erdogant / bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.