An implementation of core.matrix protocols with nd4j. Most importantly this is supposed to allow the usage of the jcublas backend of nd4j and the integration of deeplearning4j code in Clojure projects.
- don't introduce significant performance overhead
- make implementation of machine learning algorithms in Clojure more feasible
- avoid wrapping INDArray Matrices for direct interop with
- make shaping of Nd4j compatible with core.matrix, e.g. introduce Vector type, see https://github.com/mikera/core.matrix/wiki/Vectors-vs.-matrices
- fix other outstanding issues in compliance tests
- evaluate the GPU backend in comparison to
theano, e.g. with boltzmann
- implement example with deeplearning4j and
core.matrixdependent code, e.g. boltzmann, incanter 2.0
Not really usable yet, as it is not compliant to
Copyright © 2015 Christian Weilbach
Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.