1.5 KiB
1.5 KiB
random optimization code
not unlike my dsp repo, it's also a bunch of half-baked python code that's kinda handy. i give no guarantee anything provided here is correct.
don't expect commits, docs, or comments to be any verbose.
heads up
this was formerly a gist. i might rewrite the git history at some point to add meaningful commit messages.
other stuff
if you're coming here from Google: sorry, keep searching. i know Google sometimes likes to give random repositories a high search ranking. maybe consider one of the following:
- keras for easy tensor-optimized networks. strong tensorflow integration as of version 2.0. also check out the keras-contrib library for more components based on recent papers.
- theano's source code contains pure numpy test methods to reference against.
- minpy for tensor-powered numpy routines and automatic differentiation.
- autograd for automatic differentiation without tensors.
dependencies
python 3.5+
numpy scipy h5py sklearn dotmap
contributing
i'm just throwing this code out there, so i don't actually expect anyone to contribute, but if you do find a blatant issue, maybe yell at me on twitter.