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.

EasyCCGJava

A CCG parser implementing all combinators with parsing to logical form and parameter estimation for probabilistic CCG.

xRBMPython

A TensorFlow library implementing Restricted Boltzmann Machines and their variants for machine learning applications.

Series of lecture notes for probabilistic topic models written in ipython notebook

Interactive lecture notes on probabilistic topic models using Jupyter notebooks, covering LDA, Dirichlet processes, and inference methods.

Naive BayesJulia

A simple implementation of Multinomial Naive Bayes classification in Julia.