A highly efficient implementation of Gaussian Processes in PyTorch

Repository to track versions of concrete strength data, models, and active learning proposals.

LLM101n: Let's build a Storyteller

Solve puzzles. Improve your pytorch.

A modern LaTeX Beamer theme

PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

Optimisers.jl defines many standard optimisers and utilities for learning loops.

Implementation of variational Bayes inference algorithms

The Pytorch Tutorial of Score-based and Diffusion Model

Implementation of "Denoising Diffusion Probabilistic Models", Ho et al., 2020

Implementation of different diffusion models for probabilistic image generation

Creating a diffusion model from scratch in PyTorch to learn exactly how they work.

#8WeekSQLChallenge by Danny Ma.

This is an SQL complete tutorial, which covers MySQL fundamentals, as well as advanced topics. It's created by Mosh Hamedani.

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

A custom Monte Carlo sampler for the (gravitational) two-body problem

The Stan transpiler (from Stan to C++ and beyond).

Sequential Annealed Importance Sampling

Official code for "Stochastic Localization via Iterative Posterior Sampling"

Efficient implementation of struct arrays in Julia

Abstract types and interfaces for Markov chain Monte Carlo methods

😎 Awesome lists about all kinds of interesting topics

Bayesian optimization in PyTorch

Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"

Adaptive Experimentation Platform

The official registry of general Julia packages