h2oai / h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

tensorflow / probability

Probabilistic reasoning and statistical analysis in TensorFlow

borglab / gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

meta-pytorch / botorch

Bayesian optimization in PyTorch

huawei-noah / HEBO

Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab

AllenDowney / ThinkBayes2

Text and code for the second edition of Think Bayes, by Allen Downey.

csinva / imodels

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

google / edward2

A simple probabilistic programming language.

erdogant / bnlearn

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