Stars
JAX implementation of Sequential Neural Likelihood Estimation (SNLE) and Sequential Neural Ratio Estimation (SNRE) simulation-based inference algorithms
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
CV Template for group CDT CV mailing list
Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
Attention is all you need implementation
Stable Diffusion implemented from scratch in PyTorch
Yet another PyTorch implementation of Stable Diffusion (probably easy to read)
Differentiable and accelerated spherical transforms with JAX
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Sparse OPTimisation using state-of-the-art convex optimisation algorithms.
Next-generation radio interferometric imaging.