Stars
Profile-Based Long-Term Memory for AI Applications. Memobase handles user profiles, memory events, and evolving context — perfect for chatbots, companions, tutors, customer service bots, and all ch…
An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl
Tongyi Deep Research, the Leading Open-source Deep Research Agent
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen3, Qwen3-MoE, Llama4, GLM4.5, InternLM3, DeepSeek-R1, ...) and 200+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, Llava, GLM4v, Ph…
verl: Volcano Engine Reinforcement Learning for LLMs
MineWorld: A Real-time interactive world model on Minecraft
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
JS tokenizer for LLaMA 1 and 2
Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个
A WeChat mini-program tailored for Microsoft employees to improve their daily life activities.
General training framework for NER models on MatBERT
A pretrained BERT model on materials science literature
Awesome-LLM: a curated list of Large Language Model
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🦜🔗 The platform for reliable agents.
Python port of Moses tokenizer, truecaser and normalizer
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
BatteryBERT: A Pre-trained Language Model for Battery Database Enhancement
A machine learning software for extracting information from scholarly documents
SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)
Unified 2D and 3D Pre-Training of Molecular Representations