A Quick Julia Introduction

Julia Linear Algebra standard library

NanoGPT (124M) in 2 minutes

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

VQVAEs, GumbelSoftmaxes and friends

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Neural Networks: Zero to Hero

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Inference Llama 2 in one file of pure C

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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

LLM training in simple, raw C/CUDA

Learning FPGA, yosys, nextpnr, and RISC-V

Mathematics for Robotics

Neural Network primitives with multiple backends

Optimization functions for Julia

The Julia Programming Language

Julia implementation of various rigid body dynamics and kinematics algorithms

A Control Systems Toolbox for Julia

A package build system for Termux.

BLAS-like Library Instantiation Software Framework