Google Research

This repository contains implementations and illustrative code to accompany DeepMind publications

PRML algorithms implemented in Python

Public facing notes page

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Understanding Deep Learning - Simon J.D. Prince

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Bayesian optimization in PyTorch

Computations and statistics on manifolds with geometric structures.

Various tutorials given for welcoming new students at MILA.

"Deep Generative Modeling": Introductory Examples

A simple probabilistic programming language.

State Space Models library in JAX

Numenta published papers code and data

Topological Deep Learning

A library for neuroscience-inspired navigation and decision making research.

Structural Time Series in JAX

Computing on Topological Domains

Materials of the Nordic Probabilistic AI School 2021.

The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022

Tutorials on learning and using successor representations.