Bi-directional synchronization between services such as Taskwarrior, Google Calendar, Notion, Asana, and more

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

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

Collaborative text editor (like Google Docs or CoderPad) with integrated semi-anonymizing voice chat intended to help reduce bias in technical communication.

Large Language Model (LLM) Systems Paper List

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

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

Adds NLP to Notion

OpenUI let's you describe UI using your imagination, then see it rendered live.

Machine Learning System Design

NLP library designed for reproducible experimentation management

Solutions of Reinforcement Learning, An Introduction

A fast, clean, responsive Hugo theme.

Multiplex multiple message oriented protocols over a stream

A fast multimodal LLM for real-time voice

vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization

Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget)

[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personali…

SWE-bench: Can Language Models Resolve Real-world Github Issues?

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

The library for Replit AI

🙌 OpenHands: AI-Driven Development

Source code for the X Recommendation Algorithm

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴