bayesian-inference

Machine learning, in numpy

Deep universal probabilistic programming with Python and PyTorch

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups.

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

Bayesian inference with probabilistic programming.

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

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

Notebooks for the Practicals at the Deep Learning Indaba 2022.