There are 7 repositories under pegasus topic.
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/apache/incubator-pegasus/tree/master/java-client
Has been migrated to https://github.com/apache/incubator-pegasus/tree/master/go-client
Powerful and versatile game scraper written in c++
Pegasus Phoenix RCU
The repository for the Mobile Application of Monday Morning, the official student media body of NIT Rourkela.
Abstractive text summarization using CNN/DailyMail Dataset training on RNN/LSTM & T5.
Showing how MVT-Tool can create false positive Pegasus spyware results
‼️List of leaked NSO Pegasus's hosts, that uses to surveil.
Has been migrated to https://github.com/apache/incubator-pegasus/tree/master/python-client
Augmentating Textual Data Using NLP Libraries.
The goal of this project is to design a classifier to use for sentiment analysis of product reviews. Our training set consists of reviews written by Amazon customers for various food products. The reviews, originally given on a 5 point scale, have been adjusted to a +1 or -1 scale, representing a positive or negative review, respectively.
[제 13회 투빅스 컨퍼런스] YoYAK - Yes or Yes, Attention with gap-sentence for Korean long sequence
[EMNLP 2023] FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. Support BART, PEGASUS, T5, mT5, BioBART, etc.
Provides Amnesty International's "Pegasus" domain IOCs transformation to a TinyCheck source format
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.
Has been migrated to https://github.com/apache/incubator-pegasus/tree/master/nodejs-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.
A WRENCH implementation of the Pegasus WMS
Provide pegasus plugin in YCSB, please refer to 'Test Pegasus' section in README.
LongPegasus package is used for inducing longformer self attention over base pegasus abstractive summarization model to increase the token limit and performance.
Scripts to reproduce the right hand plot shown in Figure 4 of https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.116.061102
Summarizing YouTube Video Transcripts & Blog Posts with HuggingFace Transformers.