The gennhausser Project

The gennhausser project is for 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.

The gennhausser project GitHub: The gennhausser project

Scripts:

• main.py: The selection menu for gennhuasser
• app.py: Run gennhuasser as a web-server

/scripts/

• trainer.py: Runs gennhuasser trainer
• install_dependencies.py: Install dependencies

How to Run:

    pip install -r requirements.txt
    python main.py
    chmod +x setup.sh
    

Dependencies:

    numpy==1.26.2
    tensorflow==2.14.0
    music21==9.1.0
    

Languages Used in The gennhausser Project