A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

HunyuanVideo: A Systematic Framework For Large Video Generation Model

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

A comprehensive list of papers about Robot Manipulation, including papers, codes, and related websites.

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

All Algorithms implemented in Python

Language Modeling Research Hub, a comprehensive compendium for enthusiasts and scholars delving into the fascinating realm of language models (LMs), with a particular focus on large language models…

MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

OpenVLA: An open-source vision-language-action model for robotic manipulation.

A flexible and efficient codebase for training visually-conditioned language models (VLMs)

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)

The code for Consistent In-Context Editing, an approach for tuning language models through contextual distributions, overcoming the limitations of traditional fine-tuning methods that learn towards…

Official Repo for Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

An Open-source Toolkit for LLM Development

My favorite C programming practices.

High-quality datasets, tools, and concepts for LLM fine-tuning.

🦄 Record your terminal and generate animated gif images or share a web player

Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization

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

A JAX research toolkit for building, editing, and visualizing neural networks.

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

lightweight, standalone C++ inference engine for Google's Gemma models.

Curated list of project-based tutorials

LLM training in simple, raw C/CUDA

LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.

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

Grok open release

CloudMoe Windows 10/11 Activation Toolkit get digital license, the best open source Win 10/11 activator in GitHub. GitHub 上最棒的开源 Win10/Win11 数字权利（数字许可证）激活工具！