Rap lyrics generated through a Neural Network
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Updated
Mar 9, 2017 - Python
Rap lyrics generated through a Neural Network
python html scraper that generates FIRE MIXTAPES
An LSTM implementation for a Rap Lyric Generator that spawns rap lyrics based on a Kaggle dataset with over 38,000 lines.
(딥컴 :: 2018 졸업프로젝트) LSTM과 Markov Chain을 이용한 랩 가사 제작 프로그램 Production program of rap lyrics using LSTM and Markov Chain
Rap song writing recurrent neural network trained on Kanye West's entire discography
Collaborative distance between rappers ⛓
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.
An example Python repository that follows the standard structure we recommend for Reproducible Analytical Pipeline (RAP) scripts, with supporting packages in Python.
ICL BEng final year thesis project. A project to detect and highlight rhyming syllable groups in poetic compositions and contemporary rap lyrics.
Rap song writing recurrent neural network trained on Kanye West's entire discography
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).
An application designed to efficiently and accurately search for rhymes to any Japanese word or phrase.
A python package template by NHS England that can be adapted for RAP projects.
A repo to hold resources and code from data science seminars. For more info contact datascience@nhs.net.
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