A library for coreset algorithms, written in JAX for fast execution and GPU support.
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Updated
Jan 4, 2026 - Python
A library for coreset algorithms, written in JAX for fast execution and GPU support.
Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.
An android app to summarize any pdf uploaded to it
Uses a remote AI language model to prepare and post a summary of a Topic
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.
🤖 Joplin AI - Summarisation: The project aims to create note summaries to help users synthesize main ideas and arguments to identify salient points. This means that users will have a clear idea of what the note is about in a short piece of text with less mental effort.
SumItUp is a platform that allows users to generate summaries from various types of content, including audio, images, videos, GIFs, URLs, PDFs and books. It provides users with quick and concise summaries to help them understand the content more efficiently.
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.
Automated conversation summarisation using reinforcement learning. This project develops and evaluates RL-based models that generate concise, informative and less toxic summaries from a large variety of chat or dialogue data. Features include a modular summarisation pipeline, tuning on custom created dataset, and flexible evaluation metrics.
Large language model topic modelling / thematic summarisation of tabular open text data. Live demo: https://huggingface.co/spaces/seanpedrickcase/llm_topic_modelling
⚗️ Distil - LLM-powered weekly digests from RSS feeds, arXiv, PubMed, YouTube etc.
This repository tracks the process of training, validating and inference testing natural language processing models in order to generate clinic notes and classify text given doctor-patient dialogs. Take a look! ^^
Material Science Predictor
Abstractive summarizers GPT2 vs XLNet vs BERT model
L00172671 - Oisin Gibson
A terminal-based AI-powered audio & video summarizer
like homebrew but with less fizz. install binaries as fast and as easy as possible. no package manager, no recipes or metadata to update, just install and go bin, binaries, fast, installer
An online meeting summarizer with voice-based screenshots!
Implementation of the paper Ranking Sentences for Extractive Summarisation using Reinforcement Learning
Summarize blog posts, news articles and read it on one go
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