Apache Pegasus - A horizontally scalable, strongly consistent and high-performance key-value store

PegasusHub: A Community-enabled Workflows Repository for Pegasus

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

Fine Tuning pegasus and flan-t5 pre-trained language model on dialogsum datasets for conversation summarization to to optimize context window in RAG-LLMs

This repository explores the use of advanced sequence-to-sequence networks and transformer models, such as BERT, BART, PEGASUS, and T5, for summarizing multi-text documents in the medical domain. It leverages extensive datasets like CORD-19 and a Biomedical Abstracts dataset from Hugging Face to fine-tune these models.

Google Pegasus model: PEGASUS proposes a transformer-based model for abstractive summarization. It uses a special self-supervised pre-training objective called gap-sentences generation (GSG) that's designed to perform well on summarization-related downstream tasks

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

The project is a web-based interactive guide focused on exploring game theory concepts related to trust and cooperation through the lens of the "Peace-War Game."

[PRESERVE] [TEAM_FRONTEND] Unicorn Design System is Aftershoot's in-house design library housing react components used in the Desktop app.

Abstractive summarization of Reddit datasets with transformers

The Text Summarizer project aims to distill the key points from lengthy articles, paragraphs, or conversations. Utilizing FastAPI, the project leverages Pegasus, a Google model, which operates on the Samsum dataset hosted on Hugging Face.

Apache Pegasus Website

A Multimodal Approach to Convert Book Summaries into Artistic Book Covers

A lucene style query parser that is extensible and allows modifying the query.

The repository for the Mobile Application of Monday Morning, the official student media body of NIT Rourkela.

This project aims to implement text summarization using Google's Pegasus model, leveraging the Samsum dataset. Pegasus is a state-of-the-art model for abstractive text summarization, pre-trained on a large corpus of text data. The Samsum dataset contains conversational summaries, making it suitable for various summarization tasks.

Powerful and versatile game scraper written in c++

Dialogue Summarization application hosted using AWS and CICD deployment with docker and FASTAPI. Model card created in HuggingFace and a deployed on HuggingFace Spaces.

The News Text Summarization project aims to develop a platform that automatically generates concise and accurate summaries of Al Jazeera articles. By utilizing web scraping and advanced models like T5, BART, and PEGASUS, we explore translation and fine-tuning approaches to produce summaries in the target language. Our goal is to provide users with