The paper (with fewer typos) was actually accepted into 'ICONIP' in Japan in October - so I'll definitely have code on GitHub by the end of the summer. Currently my Theano implementation is buried in typical exploratory kind of code, which just needs to be stripped away to make something functional from GloVE->Sparse in one command.

The NNSE paper has associated code already, but I found setting the sparseness preference parameter was very hit-and-miss, which is why I preferred the explicit sparse-by-percentage measure in my work.