A book about compiling Racket and Python to x86-64 assembly

Python tool for converting files and office documents to Markdown.

🦾 EvalGIM (pronounced as "EvalGym") is an evaluation library for generative image models. It enables easy-to-use, reproducible automatic evaluations of text-to-image models and supports customizati…

File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

It's Python with a Lissp.

An embedded scheme interpreter in Rust

Benchmarking library for RAG

Implementation of paper 'Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference' [NeurIPS'24]

Next generation of the NoBuild idea

Header only library for writing build recipes in C.

An LSP client for Emacs implemented in Rust.

Open source Sonic The Hedgehog fangame/engine built for the PlayStation 1

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

EDM2 and Autoguidance -- Official PyTorch implementation

Code for Papeg.ai

O1 Replication Journey: A Strategic Progress Report – Part I

Rust 2d game engine, ideal for developing mini-games&app, support terminal, sdl, web modes.

Official repo for consistency models.

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

Solve puzzles. Learn CUDA.

Minimalistic large language model 3D-parallelism training

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

A list of paper templates in the area of machine learning.

Open source Claude Artifacts – built with Llama 3.1 405B

Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.