A community-maintained Python framework for creating mathematical animations.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A 15TB Collection of Physics Simulation Datasets

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Learn how to master the art of baking the programmer way.

Open source book dedicated to helping you to make the best possible sourdough bread at home.

Copy playlists and liked music from Spotify to YTMusic

Common types and interfaces for probabilistic programming

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

AlphaFold 3 inference pipeline.

A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.

Bring Your Own Stack

Progress meter for long-running computations

Real-Time Bidding by Reinforcement Learning in Display Advertising

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.