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Allen Redwing's Projects

book-nlp icon book-nlp

Natural language processing pipeline for book-length documents

book-recommender-system icon book-recommender-system

The goal of this project is to build a recommendation engine that aims to help users find books which might be interesting for them based on their summaries. We'll do this by applying Latent Dirichlet Allocation - LDA algorithm.

bookassistant icon bookassistant

a web application providing book recommendations for readers

condensedmovies icon condensedmovies

Story-Based Retrieval with Contextual Embeddings. Largest freely available movie video dataset.

content-engine icon content-engine

A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.

contextualized-topic-models icon contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.

data icon data

Data and code behind the articles and graphics at FiveThirtyEight

dnn-movie-posters icon dnn-movie-posters

A simple demo / tutorial / experiment / portfolio project for me to better understand the concepts of Machine Learning

dramatron icon dramatron

Dramatron uses large language models to generate coherent scripts and screenplays.

ebookmaker icon ebookmaker

The Project Gutenberg tool to generate EPUBs and other ebook formats.

entity-recognition-datasets icon entity-recognition-datasets

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

fabulist icon fabulist

Generate random strings that make sense.

film_script_analysis-1 icon film_script_analysis-1

The aim of this project is to provide detailed insights into different movies analyzed focusing on the characters, their dialogues, scene locations, emotional and sentiment analysis of the whole movie and the individual characters, character's interaction with one another and finally gender distribution in the each movie analyzed.

generate-tv-scripts icon generate-tv-scripts

Generate your own Seinfeld TV scripts using RNNs. The project is using a Seinfeld dataset of scripts from 9 seasons. The Neural Network which will be build will generate a new, "fake" TV script.

hub-stylegan2 icon hub-stylegan2

StyleGAN2 - Official TensorFlow Implementation with practical improvements

human-dream-analysis icon human-dream-analysis

Analysis of text in the human dreams collected from sleepanddreamsdatabase.com. It involves Topic modelling, named entity recognition, sentiment analysis of the text inthe dreams. It uses Plotly for some wonderful visualizations.

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