Probabilistic Models

BoTorchJupyter Notebook

A modular library for Bayesian optimization built on PyTorch, enabling efficient optimization of expensive black-box functions.

FigaroHTML

A probabilistic programming language built on Scala for creating rich probabilistic models and performing automated reasoning.

simple_bayesElixir

A Naive Bayes machine learning implementation in Elixir with multiple models and storage options.

scikit-rvmPython

A scikit-learn compatible Python implementation of the Relevance Vector Machine for sparse Bayesian learning.