Stars
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning、全参微调等
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
DeepSeek LLM: Let there be answers
Chat with your favourite LLaMA models in a native macOS app
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
LlamaIndex is the leading framework for building LLM-powered agents over your data.
A natural language interface for computers
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
🔊 Text-Prompted Generative Audio Model
ELK Training
人像卡通化探索项目 (photo-to-cartoon translation project)
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战，目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门，其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue，笔记网站正在建设中)。
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
🤗 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.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.