State of the Art of Music Generation with Deep Learning and AI

SOTA Google's Perceiver-AR Music Transformer Implementation and Model

Music remixer based on MusicGen-Chord

Music(Lo-fi) generation using deep learning techniques.

This is a cog implementation of the fine-tuner for Meta's MusicGen

Chord conditioning implemented MusicGen

A Bach music generator with Artificial Intelligence. This model is made by a VQ-VAE + Transformer (decoder-only). Sequences of midi 1 quarter length are compressed into 16 codebooks via VQ-VAE and a transformer learns how to generate the codebooks sequence to obtain a midi score.

Multi-Instrument music generation using C-RNN-GAN with MIDI format input 🎼

Code and demo for paper: Zhao et al., "Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement," IJCAI 2023

[DEPRECEATED] Morpheus Music AI implementation spin-off :)

Algorithmic and AI MIDI Drums Generator Implementation

A pytorch Implementation of VAE-based musical model to generate and interpolate piano'notes using Nottingham dataset.

Music generation using a Long Short-Term Memory (LSTM) neural network. The gennhausser project uses TensorFlow and music21 libraries to create a synthetic dataset, train an LSTM model, and generate music sequences.

Developed a music generation deep learning model using WGAN-GP and self-attention, aimed at creating melodic compositions.

https://ieeexplore.ieee.org/abstract/document/9599356

Symbolic music generation using multi agent systems

Generate Piano music using LSTM-based musical model.

Course Materials for TTSM Workshop 2024: Expressive Symbolic Music Data Processing and Generation

The project focuses on automatic music generation. It was done during Bachelor Thesis at VGU in 2023.

Course Materials for TTSM Workshop I: Symbolic Music Data Processing and Generation