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.

Fast and Easy Infinite Neural Networks in Python

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

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

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

Bayesian inference with probabilistic programming.

PyMC educational resources

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

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.

Awesome resources on normalizing flows.

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

solution of exercises of the book "probabilistic robotics"

BAyesian Model-Building Interface (Bambi) in Python.

RStan, the R interface to Stan

Bayesian Data Analysis demos for Python

Learn about Machine Learning and Artificial Intelligence