Machine learning, in numpy

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

A Python library that helps data scientists to infer causation rather than observing correlation.

Fast and Easy Infinite Neural Networks in Python

Bayesian Data Analysis course at Aalto

Bayesian inference with probabilistic programming.

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

PyMC educational resources

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Awesome resources on normalizing flows.

Infer.NET is a framework for running Bayesian inference in graphical models

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

solution of exercises of the book "probabilistic robotics"

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

BAyesian Model-Building Interface (Bambi) in Python.