bobye/dmfCramer
Discrete Matrix Factorization with Cramer Risk Minimization
Minerva: a fast and flexible tool for deep learning. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy. Please refer to the examples to see how multi-GPU setting is used.
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Discrete Matrix Factorization with Cramer Risk Minimization
Lightweight Yet Fast Scala implementation of CART
Fast discrete distributions clustering using Wasserstein barycenter with sparse support
Public repository.