High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle

Protocol Buffers - Google's data interchange format

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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

Intel® RealSense™ SDK

Open-source search and retrieval database for AI applications.

🦜🔗 The platform for reliable agents.

LLM inference in C/C++

Awesome machine learning for combinatorial optimization papers.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Qwen Code is a coding agent that lives in the digital world.

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

Go ahead and axolotl questions

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

The repository provides code associated with the paper VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation (ICRA 2024)

Open source simulator for autonomous robotics built on Unreal Engine with support for Unity

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!

✨✨Latest Advances on Multimodal Large Language Models

We write your reusable computer vision tools. 💜

Gemma open-weight LLM library, from Google DeepMind

Examples and guides for using the OpenAI API

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Tensor library for machine learning

An open source implementation of CLIP.

MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化，也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

Monitoring recent cross-research on LLM & RL on arXiv for control. If there are good papers, PRs are welcome.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…