Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
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Updated
May 9, 2024 - Python
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
Official implementation of the paper "IteraTeR: Understanding Iterative Revision from Human-Written Text" (ACL 2022)
[IROS24] Offical repository for "PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset Generation"
Abstractive text summarization by fine-tuning seq2seq models.
Codes for our paper "CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation" (ACL 2022)
[EMNLP 2023] FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. Support BART, PEGASUS, T5, mT5, BioBART, etc.
A sophisticated news processing pipeline that combines AI-powered content extraction, advanced NLP techniques, and interactive data visualizations to provide comprehensive news analysis across multiple categories.
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.
Has been migrated to https://github.com/apache/incubator-pegasus/tree/master/python-client
newsletter is a web-app that automatically generates newsletters and blog posts using Machine Learning
ELSA combines extractive and abstractive approaches to the automatic text summarization
AI-powered video analysis pipeline using Amazon Bedrock TwelveLabs Pegasus 1.2 and Claude 3.7 Sonnet for automated construction site monitoring and educational content categorization.
A financial dashboard built using Streamlit, fine-tuned Transformers models and Prophet. Includes auto summarisation, sentiment analysis, and trend forecasting of stock and crypto news.
3rd Year: 1st - 104/100. Generative Modelling: Applying GANs to generate out-of-sample inter-class images - "The Mythical Pegasus: A Mysterious Journey".
local-first pipeline that turns notes into a research-style draft: extract keywords → fetch arXiv → rank (SPECTER) → summarize (PEGASUS). No chat, no API keys.
Amino Pegasus or AminoGasus for detect users in others community in Amino website
Transform images with text into a concise summary using Tesseract OCR and Google's Pegasus model
Search platform for product manufacturers to learn "Consumer Insights"
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