A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Optimize machine learning processes automatically with a tool that uses genetic programming.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
tpot has 10k stars on GitHub. It has been forked 1.6k times. tpot is written mainly in Jupyter Notebook. It has been in active development since 2015. tpot is available under the LGPL-3.0 license. Its main topics are adsp, ag066833, aiml, alzheimer.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
tpot is an open-source project. It is released under the LGPL-3.0 license.
Yes. tpot is free and open source — you can use, modify and self-host it. Its LGPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
tpot is available under the LGPL-3.0 license.
tpot is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/epistasislab-tpot.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.