Lofi
ML-supported lo-fi music generator
Overview:
The Build Stargazers Forks Issues Contributors Apache License project aims to represent lo-fi tracks as a vector of 100 features through a VAE model in PyTorch. These features include chords, melodies, and other musical parameters. The web client, built with TypeScript and Webpack, uses Tone.js to generate lo-fi music from these parameters. The server, a basic Flask instance, deploys the trained model checkpoint, allowing communication with the client via a REST API.
Features:
- VAE Model: Trained in PyTorch to represent lo-fi tracks as a vector of 100 features.
- Client-side: Written in TypeScript and built with Webpack, utilizing Tone.js for music generation.
- Server-side: Basic Flask instance to deploy the trained model checkpoint.
- Flask
Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.
- Typescript
TypeScript is a superset of JavaScript, providing optional static typing, classes, interfaces, and other features that help developers write more maintainable and scalable code. TypeScript's static typing system can catch errors at compile-time, making it easier to build and maintain large applications.
