2017-04-11 22:23:07 -07:00
|
|
|
# neural network stuff
|
2017-03-14 03:10:47 -07:00
|
|
|
|
|
|
|
|
not unlike [my dsp repo,](https://github.com/notwa/dsp)
|
2017-04-11 22:23:07 -07:00
|
|
|
this is a bunch of half-baked python code that's kinda handy.
|
2017-03-14 03:10:47 -07:00
|
|
|
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](https://github.com/fchollet/keras)
|
|
|
|
|
for easy tensor-optimized networks.
|
|
|
|
|
strong [tensorflow](http://tensorflow.org) integration as of version 2.0.
|
|
|
|
|
also check out the
|
|
|
|
|
[keras-contrib](https://github.com/farizrahman4u/keras-contrib)
|
|
|
|
|
library for more components based on recent papers.
|
|
|
|
|
* [theano's source code](https://github.com/Theano/theano/blob/master/theano/tensor/nnet/nnet.py)
|
|
|
|
|
contains pure numpy test methods to reference against.
|
|
|
|
|
* [minpy](https://github.com/dmlc/minpy)
|
|
|
|
|
for tensor-powered numpy routines and automatic differentiation.
|
|
|
|
|
* [autograd](https://github.com/HIPS/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.](https://twitter.com/antiformant)
|
