LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

A high-throughput and memory-efficient inference and serving engine for LLMs

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with …

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

LLM inference in C/C++

Unify Efficient Fine-Tuning of 100+ LLMs

YOLOv10: Real-Time End-to-End Object Detection

ChatTTS is a generative speech model for daily dialogue.

User-friendly WebUI for LLMs (Formerly Ollama WebUI)

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

🦜🔗 Build context-aware reasoning applications

Kolmogorov Arnold Networks

Apache Iceberg (Incubating)

StarRocks is a next-gen sub-second MPP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics and ad-hoc query.

JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern

A Windows/macOS GUI based on Clash

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Grok open release

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

Cookbook to use LLMs effectively for sciences, in various levels of expertise

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Yet Another Clash Dashboard

A rule-based tunnel in Go.

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite