MCCube

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

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

Fast and Easy Infinite Neural Networks in Python

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

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

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

PyMC educational resources

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

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