Model-Teaching-in-Health-With-BNN-and-Active-Learning

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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

Fast and Easy Infinite Neural Networks in Python

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

A modular active learning framework for Python

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

PyMC educational resources

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