Concrete ML is an open-source toolkit built on top of The Concrete Framework. It enables data scientists to automatically turn their machine learning models into their homomorphic equivalent.
Notably, it provides support for equivalent of several algorithms from scikit-learn and torch.
Don’t hesitate to submit your questions or to show what nice you’ve been able to build with Concrete ML .
Concrete ML goes on top of Concrete Numpy (see its category), which itself is on top of the compiler (which soon is going to have its own category) and Concrete Library , which has its category , where you can also submit your questions.