We’re excited to announce the launch of CapyMOA! An efficient library for stream (online) learning in Python.
CapyMOA is based on four pillars:

(1) Efficiency. Process thousands of instances as quickly as possible (near real-time)
(2) Accessibility. Easy to prototype experiments and extend functionality
(3) Interoperability. Use other libraries, such as MOA, scikit-learn and PyTorch through a unified streaming API
(4) Flexibility. Code in either Python or Java

Join us on Discord to keep up to date with the community and releases! We have a pretty ambitious release schedule 🙂
If you want to join or contribute, just reach out!

Website: https://www.capymoa.org
Github: https://github.com/adaptive-machine-learning/CapyMOA
Discord: https://discord.com/invite/RekJArWKNZ

Our ever growing team 🙂
Heitor Murilo Gomes, Albert Bifet, Anton Lee, Nuwan Gunasekara, Yibin Sun, Guilherme Cassales, Marco Heyden, Jia Liu, Maroua Bahri, Marcus Botacin, Vitor Cerqueira, Bernhard Pfahringer, Yun Sing Koh

#MachineLearning #DataStreams #Streaming #OnlineLearning #CapyMOA #MOA #AI #Drift #sklearn #pytorch