jisungk / deepjazz
Deep learning driven jazz generation using Keras & Theano!
Why this job: topics: neural-networks, keras, deep-learning, machine-learning
What it does
I built *deepjazz* in 36 hours at a hackathon. It uses Keras & Theano, two deep learning libraries, to generate jazz music. Specifically, it builds a two-layer LSTM, learning from the given MIDI file. It uses deep learning, the AI tech that powers Google's AlphaGo and IBM's Watson, to make music -- something that's considered as deeply human.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 2,895
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 47% closed
- 10 still open
- Pull requests
- 0 merged
- 3 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- deep-learning
- machine-learning
- music
- jazz
- keras
- theano
- neural-networks
- rnn
- lstm
Project record
- JobAI libraries and models
- StatusListed
- Commits25
- Forks437
- Watching107
- Stars in 28 days+1
- CreatedApr 2, 2016
- First seen by usNov 7, 2026
- CheckedNov 8, 2026