Lofi

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.

Summary:

The Build Stargazers Forks Issues Contributors Apache License project leverages a VAE model in PyTorch to represent lo-fi tracks as a vector of 100 features. Through a client written in TypeScript and a server in Flask, users can generate lo-fi music using Tone.js. Installation involves setting up the client, training a model, and deploying a server, providing flexibility for users to explore and contribute to the open-source community. Contributions, enhancements, and acknowledgments are welcomed, emphasizing collaboration and community growth.