Stars
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt…
An open-source RAG-based tool for chatting with your documents.
The first "code-first" agent framework for seamlessly planning and executing data analytics tasks.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
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.
Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。
Sync notes between local and cloud with smart conflict: S3 (Amazon S3/Cloudflare R2/Backblaze B2/...), Dropbox, webdav (NextCloud/InfiniCLOUD/Synology/...), OneDrive, Google Drive (GDrive), Box, pC…
Reading list for research topics in multimodal machine learning
Hydra is a framework for elegantly configuring complex applications
A curated list of Multimodal Related Research.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Modin: Scale your Pandas workflows by changing a single line of code
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Create delightful software with Jupyter Notebooks
Python supercharged for the fastai library
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
State of the Art Natural Language Processing
Production infrastructure for machine learning at scale
Natural Language Processing Best Practices & Examples
100+ Chinese Word Vectors 上百种预训练中文词向量
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Library for faster pinned CPU <-> GPU transfer in Pytorch
A Hyperparameter Tuning Library for Keras
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.