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.

MAGNeT: Music Generation using Transformers

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

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

In this repository I have explained about how we can generate music via LSTMs.

Symbolic music generation using multi agent systems

AI Powered Music Generation

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

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

Chord conditioning implemented MusicGen

Music remixer based on MusicGen-Chord

Here I have done various feature extractions upon audio samples, and this repository also contains all the work I have done in audio analysis. The aim of this repository is to host the methods need in other audio-analysis-projects that I would be doing hence forward.

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

Symbolic music generation of Bach chorales

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.

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

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

Generating MIDI files by AI, using piano notes database and librairies such as music21

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