Layers is intended for scientific programming, with complex number support and periodic boundary condition and most importantly, extensible.
Our project repo is https://220.127.116.11/jgliu/PoorNN.git
Here I list its main features
- low abstraction
- complex number support
- periodic boundary convolution favored
- numpy based, c/fortran boost
- easy for extension, using interfaces to unify layers, which means layers are standalone modules.
But its cuda version is not realized yet.