Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.
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Updated
Mar 15, 2019 - Python
Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.
Implementation of the paper Ranking Sentences for Extractive Summarisation using Reinforcement Learning
Summarises the content of README files for any public GitHub repo
An android app to summarize any pdf uploaded to it
An online meeting summarizer with voice-based screenshots!
Abstractive summarizers GPT2 vs XLNet vs BERT model
Material Science Predictor
Extractive text summarisation tool developed for completion of my MSc ICT Software Implementation module. This is an overhaul of my original work.
A curated list of Multi-Document Summarization papers, articles, tutorials, slides , datasets, and projects
Using a deep learning model that takes advantage of LSTM and a custom Attention layer, we create an algorithm that is able to train on reviews and existent summaries to churn out and generate brand new summaries of its own.
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.
Summarize blog posts, news articles and read it on one go
Uses a remote AI language model to prepare and post a summary of a Topic
Add a description, image, and links to the summarisation topic page so that developers can more easily learn about it.
To associate your repository with the summarisation topic, visit your repo's landing page and select "manage topics."