Machine learning: Practical applications

A bash script to scrap shakespeare works from shakespeare.mit.edu + Already scraped plays in txt format

Scrape Shakespeare from MIT

SyllaBits is a web-based game that helps you learn, practice, and master the skill of scansion. Contributors: Elizabeth E. Tavares (principle investigator), Elijah Hilty (developer), Jeff Gray (co-investigator). Sponsors: Collaborative Arts research Institute, Hudson Strode Program in Renaissance Studies, University of Alabama.

My solution for TryRuby's "Noble Kinsmen" problem.

text-rnn allows you to create modern neural network architectures which use modern techniques such as skip-embedding and attention weighting. Train either a bidirectional or normal LSTM recurrent neural network to generate text using any dataset. You can continue training a pre-trained model.

Simple character level Transformer

Shows the year(s) written, genre, and number of speeches for each of Shakespeare's plays. Built on Open Source Shakespeare's list of Shakespeare's plays by number of speeches.

A character-level decoder Transformer that generates Shakespeare's like text.

GPTs trained with shakespeare dataset. Includes: small 10.8M GPT mimicking Andrej Karpathy's video lecture, Universal Transformer with Adaptive Computation Time

LSTM-based word prediction system for Elizabethan English using bidirectional neural networks with BPE tokenization