#Summarization
Showing 46 of 46 repositories tagged #summarization, ranked by stars
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.
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Efficient Retrieval Augmentation and Generation Framework
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Summarization Papers
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
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
Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline.
LLM for Long Text Summary (Comprehensive Bulleted Notes)
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
An AI-powered arXiv paper summarization website with a virtual assistant for answering questions.
head/tail for structured data - summarize/preview JSON/YAML and source code
Implementation of different summarization algorithms applied to legal case judgements.
A Bibliometric and Scientometric Python Library Powered with Artificial Intelligence Tools
This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
Bringing Generative AI to the way the Civil Service works
VLM driven tool that processes surveillance videos, extracts frames, and generates insightful annotations using a fine-tuned Florence-2 Vision-Language Model. Includes a Gradio-based interface for querying and analyzing video footage.
ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation
Telegram app which automates manual scanning through tons of Telegram messages looking for valuable information
文本自动摘要
🚀🚀 Fetch, parse, categorize, summarize user reviews 🚀🚀
AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 50-60% while preserving semantic meaning with advanced compression strategies.
A curated list of repositories for my book Machine Learning Solutions.
The first-ever vast natural language generation benchmark for Indonesian, Sundanese, and Javanese. We provide multiple downstream tasks, pre-trained IndoGPT and IndoBART models, and a starter code! (EMNLP 2021)
Codebase accompanying the Summary of a Haystack paper.
Multi-document summarization tool relying on ILP and sentence fusion
Implementing the Chain Of Density text summarisation technique from recent NLP research by researchers at Salesforce, MIT, Columbia, etc. Takes a long text input and iteratively generates increasingly concise, entity-dense summaries using LLMs (default: OpenAI's GPT-4). Feedback and contributions welcome!
A lo-fi AI-first note taker running locally on-device
Natural language processing - summarization, sentiment analysis, topic detection and more.
A sophisticated RAG (Retrieval-Augmented Generation) Telegram bot that transforms articles and documents into interactive knowledge bases. Upload PDFs/URLs and get AI-powered answers with source citations.
Turn your Slack links into a personal tech magazine with AI-powered summaries
Official code repository for "Exploring Neural Models for Query-Focused Summarization".
A cross-platform desktop AI assistant that lets you translate, rewrite, summarize, and brainstorm with just a hotkey.
Python script for ingesting various files into a semantic graph. For text, images, cpp, python, rust, javascript, and PDFs.
A collection of atomic notes summarizing Telegram posts from the AI Projects. All content is in Russian.
Exploring Open Source Generative AI models for understanding and summarizing documents
Can we quickly summarize & visualize text to get the details about the unstructured data? Yes we can! Please review this code pattern for all the steps involved to quickly summarize & visualize the data.
A tool for summarizing search results and website content using FAISS, LLMs, and the Retrieval-Augmented Generation (RAG) technique.
Summarize audio/video files
MacOS app for automatic call summarization and transcription, ideal for meetings, interviews, and brainstorming. Boost your productivity with AI-powered summaries and easy export of notes.
iHub is a secure, open-source AI application suite that empowers organizations to perform creative and general tasks with generative AI - directly within their protected corporate environment, in the cloud or on their local machine.
Summarize and perform RAG on PPTx/PPT file formats