ming lin's repositories
Autonomous-Agents
Autonomous Agents (LLMs) research papers. Updated Daily.
Awesome-LLM-3D
Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources
chameleon
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
Cherry_LLM
[NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other models
course
The Hugging Face course on Transformers
Cradle
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.
dspy
DSPy: The framework for programming—not prompting—foundation models
facechain
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
farfalle
🔍 AI search engine - self-host with local or cloud LLMs
Flowise
Drag & drop UI to build your customized LLM flow
HuatuoGPT-II
HuatuoGPT2, One-stage Training for Medical Adaption of LLMs. (An Open Medical GPT)
instructor
structured outputs for llms
KwaiAgents
A generalized information-seeking agent system with Large Language Models (LLMs).
langgraph
Build resilient language agents as graphs.
LanguageAgentTreeSearch
[ICML'24] Official repository for "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models"
LaVague
Large Action Model framework to develop AI Web Agents
LLM-Agents-Papers
A repo lists papers related to LLM based agent
llm-paper-daily
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
llm-reasoners
A library for advanced large language model reasoning
LLM-Tool-Survey
This is the repository for the Tool Learning survey.
mem0
The memory layer for Personalized AI
ml-engineering
Machine Learning Engineering Open Book
OpenAGI
OpenAGI: When LLM Meets Domain Experts
OpenDevin
🐚 OpenDevin: Code Less, Make More
ORLM
ORLM: Training Large Language Models for Optimization Modeling
outlines
Structured Text Generation
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
whisper
Robust Speech Recognition via Large-Scale Weak Supervision