rap

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Here are 205 public repositories matching this topic...

RocLifeRecords / ft.-StrictProduction-Skepter

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Oroject song

songs sound pop rap justice drejt-sin rap-album denyd rap-garanci strictproduction-ft

Updated May 26, 2017

nu11ptr / swtrap

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SWT / RAP Demo

eclipse swt jfreechart graalvm rap eclipse-rap native-image graalvm-native-image

Updated Aug 22, 2021
Kotlin

Reproducible Analytical Pipeline (RAP) for the sampling of the three centralised Scottish surveys: the Scottish Household Survey (SHS), the Scottish Health Survey (SHeS) and the Scottish Crime and Justice Survey (SCJS).

sampling surveys rap

Updated Sep 11, 2024
R

Birmingham-and-Solihull-ICS / UEC-Performance-ETL

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ETL scripts to process daily UEC performance datasets.

r etl rap

Updated Apr 9, 2025
R

elysehadid / verzuz

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Compare two artists' top 20 songs.

react music apple genius rap hiphop hiphopheads verzuz

Updated Sep 9, 2020
TypeScript

distorted-media / rap-engineer

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Tree of Thought Prompt Engineering for Rap Lyrics - OutsideLLMs hackathon

music ai hackathon lyrics prompt agi transformer openai rap creativity prompts hackathon-project large-language-models prompt-engineering llms chain-of-thought tree-of-thoughts tree-of-thought outsidellms

Updated Aug 20, 2023
TypeScript

RocLifeRecords / ft.-TrancyLoopT-Ligjt-do-Shfarosen

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Project song

songs sound listen pop rap justice drejt-sin rap-album denyd mmpz-ft

Updated Jan 27, 2023

dlarsen5 / PyRap

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Natural Language Processing on Rap Lyrics

nltk rap genius-api

Updated Feb 8, 2020
Python

weallwegot / cardi_b_4_cli

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Quotes From Your Favorite Rapper, Writers, or Developers to Your Command Line

quotes command-line lyrics command-line-tool rap hiphop quotes-application

Updated May 23, 2025
JavaScript

CodeSopranos / image-classification-lab

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musical genres binary classification using pytorch.audio and keras

spectrogram rap melspectrogram genre-classification classique

Updated Nov 3, 2020
Jupyter Notebook

unclebrod / RapLyrics

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The goal of this project was to explore rap lyrics, gathered from 100 rappers from the early 1980s to present day, using natural language processing. I explored both supervised and unsupervised learning, as well as a number of visuals.

artists natural-language-processing songs data-visualization supervised-learning genius unsupervised-learning rap rap-lyrics rappers