LOFI is a ML-supported lo-fi music generator. We trained a VAE model in PyTorch to represent a lo-fi track as a vector of 100 features. A lo-fi track consists of chords, melodies, and other musical parameters. The web client uses Tone.js to make a dusty lo-fi track out of these parameters.

Click here for a pre-generated lo-fi playlist!

• Client: The client is written in TypeScript and built with Webpack. It uses Tone.js to generate music.
• Model: The model is implemented in PyTorch. We synthesized various datasets, including Hooktheory and Spotify.
• Server: The server is a basic Flask instance that deploys the trained model checkpoint. The client communicates with the Server using a REST API.