Popular GitHub Repositories for Extreme Summarization

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

搜索所有中文NLP数据集，附常用英文NLP数据集

Module for automatic summarization of text documents and HTML pages.

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

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

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

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

Efficient Retrieval Augmentation and Generation Framework

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

Easy to use extractive text summarization with BERT

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

The guide to tackle with the Text Summarization

Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

? 首个会看胸部X光片的中文多模态医学大模型 | The first Chinese Medical Multimodal Model that Chest Radiographs Summarization.

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

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

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

Deep Reinforcement Learning For Sequence to Sequence Models

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.