Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

AdalFlow: The library to build & auto-optimize LLM applications.

Module for automatic summarization of text documents and HTML pages.

A modular RL library to fine-tune language models to human preferences

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

Transformers 库快速入门教程

Efficient Retrieval Augmentation and Generation Framework

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

TextRank implementation for Python 3.

Summarization Papers

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

Open Source, Privacy-First, macOS-Native AI Meeting Summary

KubeStellar - a flexible solution for multi-cluster configuration management for edge, multi-cloud, and hybrid cloud

LLM for Long Text Summary (Comprehensive Bulleted Notes)

Basic statistics for Julia

Converse with book - Built with GPT-3

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.