Fast and memory-efficient exact attention

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

Inference code for CodeLlama models

Train transformer language models with reinforcement learning.

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

Machine Learning Engineering Open Book

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

An open source implementation of CLIP.

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Large Language Model Text Generation Inference

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

Running large language models on a single GPU for throughput-oriented scenarios.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

so-vits-svc fork with realtime support, improved interface and more features.

An elegant PyTorch deep reinforcement learning library.

ImageBind One Embedding Space to Bind Them All

A collection of libraries to optimise AI model performances

An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)