-
Soochow University
Stars
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Python tool for converting files and office documents to Markdown.
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
A professional cross-platform SSH/Sftp/Shell/Telnet/Tmux/Serial terminal.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
Latest Advances on Long Chain-of-Thought Reasoning
Supercharge Your LLM Application Evaluations 🚀
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing…
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
Awesome Pretrained Chinese NLP Models,高质量中文预训练模型&大模型&多模态模型&大语言模型集合
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
The source code for the schema filter (question + schema only)
AirLLM 70B inference with single 4GB GPU
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. PICARD is a ServiceNow Research project that was started at Element AI.
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Self-verification for LLMs.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)