Popular GitHub Repositories for Ontology Based Data Access

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

Deep Learning for humans

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

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Making large AI models cheaper, faster and more accessible

? Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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 Llama) RAG and Agent app with langchain

AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

? Industrial-strength Natural Language Processing (NLP) in Python

Cross-platform, customizable ML solutions for live and streaming media.

Easily train a good VC model with voice data <= 10 mins!

Code and documentation to train Stanford's Alpaca models, and generate the data.