A PyTorch-based toolkit for simulating communication systems

Entropy coders for research and production in Python and Rust.

Data compression in JAX

A minimal example for integrating a general machine learning training script with SACRED experimental framework, and HyperOpt (Distributed Asynchronous Hyperparameter Optimization).

Code for the Thermodynamic Variational Objective

A generic Monte Carlo method based on the Gumbel-Max trick.

Gaussian processes in TensorFlow

Gaussian process modelling in Python

Probabilistic Programming with Gaussian processes in Julia

cs4102 practical 2

Bayesian Reinforcement Learning in Tensorflow

Conjugate gradients minimization

Data compression in TensorFlow

A LaTeX / XeLaTeX / LuaLaTeX PhD thesis template for Cambridge University Engineering Department (CUED)

Gaussian processes framework in python

Efficiently computes derivatives of NumPy code.

An Open Source Machine Learning Framework for Everyone