Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

GPS receiver from a raw antenna 🛰️

Tile primitives for speedy kernels

The official Meta Llama 3 GitHub site

A microbenchmark support library

This is a port of Mistral-7B model in JAX

A high-throughput and memory-efficient inference and serving engine for LLMs

An extremely fast Python package installer and resolver, written in Rust.

3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns

A curated list of awesome C frameworks, libraries, resources and other shiny things. Inspired by all the other awesome-... projects out there.

Curated list of project-based tutorials

A curated list of project-based tutorials in C

Syntactic analysis toolkit, language-agnostic parser generator.

A library for mechanistic interpretability of GPT-style language models

Official inference library for Mistral models

Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one

structured outputs for llms

Learning how a CPU works by emulating one

Development repository for the Triton language and compiler

Inference code for Llama models

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

An unnecessarily tiny implementation of GPT-2 in NumPy.

You like pytorch? You like micrograd? You love tinygrad! ❤️

Tensor library for machine learning

Use commands in English to control Blender with OpenAI's GPT-4

LLM inference in C/C++

Automatic gradient descent

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch