Nemoa is a machine learning- and data analysis framework, that implements the Cloud-Assisted Meta Programming (CAMP) paradigm.
The key goal of Nemoa is to provide a long-term data analysis framework, which seemingly integrates into existing enterprise data environments and thereby supports collaborative data science. To achieve this goal Nemoa orchestrates established Python frameworks like TensorFlow® and SQLAlchemy and dynamically extends their capabilities by community driven algorithms (e.g. for probabilistic graphical modeling, machine learning and structured data-analysis).
According to our convictions, Nemoa is free and open source software, based on the Python programming language and actively developed as part of our Liquid ML framework. For more information please visit GitHub.