jisungk/deepjazz

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2890 stars · 440 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

deepjazz is a Python application that uses a two-layer LSTM built with Keras and Theano to generate jazz music from a given MIDI file. It was built as a hackathon project and is no longer actively developed.

Use cases

• generate jazz music with deep learning
• train an LSTM on a MIDI file to compose music
• learn how to build a music generation model with Keras
• create AI-generated jazz melodies
• experiment with sequence models for music
• use deep learning for algorithmic composition

When to choose

• you want a simple, well-known reference example of LSTM-based music generation
• you are studying how deep learning can be applied to MIDI music composition
• you need educational material for a course on AI and music

When to avoid

• you need a maintained or production-ready music generation tool
• you want to use modern frameworks like TensorFlow 2 or PyTorch
• you need native support for arbitrary MIDI files without manual preprocessing
• you require GPU support beyond NVIDIA CUDA or current library versions

Facets

application · maturity abandoned

deep-learning machine-learning audio-processing data-generation deep-learning machine-learning python cli jazz midi lstm keras theano music-generation generative-music rnn audio gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="jisungk/deepjazz")