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

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

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

Here's samples of android/ios spyware named "Pegasus" made by the NSOGROUP

Abstractive and Extractive Text summarization using Transformers.

Official implementation of the paper "IteraTeR: Understanding Iterative Revision from Human-Written Text" (ACL 2022)

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

SPY SOFTWARE TO MONITOR & CONTROL ANDROID REMOTELY

Abstractive text summarization by fine-tuning seq2seq models.

Has been migrated to https://github.com/pegasus-kv/rocksdb

Codes for our paper "CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation" (ACL 2022)

Has been migrated to https://github.com/apache/incubator-pegasus/tree/master/java-client

Has been migrated to https://github.com/apache/incubator-pegasus/tree/master/go-client

Pegasus Phoenix RCU

Powerful and versatile game scraper written in c++

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

Showing how MVT-Tool can create false positive Pegasus spyware results

Has been migrated to https://github.com/apache/incubator-pegasus/tree/master/python-client

The Python-based web app extracts and summarizes news using NewsAPI, newspaper3k, spacy, Pegasus and T5 from Hugging Face. It categorizes news articles and uses a graph-based summary feature to summarize multiple documents. The app works with news in any language supported by NewsAPI.

This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.