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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

alphafold

Open source code for AlphaFold.

babymap

Manifold projection for Babies

babynet

efficient training inference of DL models

backend

[Graphsitry + Triton] backend for accelerated graph inference ⚡️

codeforces-haskell

Codeforces solutions in Haskell

deeplearningexamples

Deep Learning Examples

dfencoder

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dm-haiku

JAX-based neural network library

dotfiles

Environment dotfiles

fairscale

PyTorch extensions for high performance and large scale training.

flash-attention

github-nvim-theme

Github theme for Neovim and Terminals written in Lua

gradman

Baby deep learning library🐣

hivemind

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

hpc

High Performance Computation

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

lightning-flash

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

lightning-transformers

Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

lightning-tutorials

Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.

markovjunior

Probabilistic PL based on pattern matching and constraint propagation, 148 examples

matx

An efficient C++17 GPU numerical computing library with Python-like syntax

megatron-deepspeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

mixed

Automatic mixed precision training and inference guide for GPU