A simple app which shows the lastest movies trailers based on different genres developed using SwiftUI.

beets plugin to auto-detect the genre for each item within your music library

Creating piano music with python code with just algorithms.

Audio classifier, encoder, and search engine in Java

Movie / Film recommendation system built using Java utilizing knowledge graph technology.

Simple BASH script to download IMDB data into sqlite database.

Bollywood Movie Recomendation System .

Displaying Spotify user metadata.

A Quotes scraper which scrapes quotes of different genres and saves them.

Overengineered iTunes rss feed lister https://rss.itunes.apple.com/

Cluster analysis on Spotify audio features Problem definition: Examine a set of audiofeatures of songs and using clustering techniques identify potential genres. The goal is define genres and their characteristics. I used three different type of clustering: *PAM K-Medoids *clusteringAgglomerative clustering *Density based clustering

These scripts allow you to take default Letterboxd output CSVs (like your watched films list), and join other film info to that CSV (like genres, director, etc.).

A Python package to extract graphlet patterns within text documents represented as word graphs. The package can be used for text genres analysis and text feature engineering.

Rock or rap? Machine Learning methods in Python to classify songs into genres.

Movie Recommendation System created using Collaborative Filtering (Website) based on Genres

🌎 🐧 🥚 One penguin, five eggs.

PulseRoots is an interactive visualization tool for exploring the diverse world of electronic music genres and subgenres. Using D3.js, it presents a hierarchical tree structure of electronic music styles, allowing users to navigate through different genres, learn about their characteristics, and listen to representative tracks

Analyse spotify playlists for genres.