Common imaging utilities for RAP

Rap song writing recurrent neural network trained on Kanye West's entire discography

(딥컴 :: 2018 졸업프로젝트) LSTM과 Markov Chain을 이용한 랩 가사 제작 프로그램 Production program of rap lyrics using LSTM and Markov Chain

A tool to support the identification of Review Clauses in legislation.

SLM (Small Language Model) trained on French Rap Lyrics

GAVEL (Guided Approval & Validation Engine with Logic) is a Python package that validates dataframe values against rule chains, assigning each a status (approve/reject/review), confidence score, and interpretable reasoning.

python html scraper that generates FIRE MIXTAPES

An application designed to efficiently and accurately search for rhymes to any Japanese word or phrase.

DNAttend - Experimental ML framework for predicting patient non-attendance

The RAP rework of the SSDP (aka Devices) reporting pipeline

A repo to hold resources and code from data science seminars. For more info contact datascience@nhs.net.

Learn how to package your code effectively for better collaboration, distribution, and reuse of your code. This workshop is being held at the Data Science Mini-Conference, but is available for anyone to complete in their own time.

Custom automated statistical tables for my persian rap playlist

A C++ and Python algorithm that prints when bass, claps, or hihats are detected in music. Works well with hip-hop and rap music. Website link is React.js implementation (not as good as exe).

A framework for quickly creating metrics using easy-to-edit YAML configs and reusable methods to filter, calculate, and transform data.

Rap lyrics generated through a Neural Network

Healthcare's Handy, Easy, and Reusable Box of Tricks!

The codon project was created to increase code sharing, code consistency, coding standards, and encourage collaboration. Package documentation is available on the GitHub pages. codonPython aims to reduce the barrier for entry for analysis and provide software development experience for those at a higher level of technical ability.