Hi.
There was just a thread about neural nets yesterday:
https://sourceforge.net/p/scikit-learn/mailman/scikit-learn-general/thread/554BA4ED.9010205%40gmail.com/#msg34093050

There is lasagne https://github.com/Lasagne/Lasagne and keras 
https://github.com/fchollet/keras and nolearn 
https://github.com/dnouri/nolearn and sklearn-theano 
https://github.com/sklearn-theano/sklearn-theano for python.
(most of them built on top of theano or providing interfaces to other 
libraries).

There is also torch for lua: http://torch.ch/ with nn for deep learning: 
https://github.com/torch/nn

Scikit-learn will not add gpu support in the near future, so it will be 
of limited use for neural nets:
http://scikit-learn.org/dev/faq.html#will-you-add-gpu-support

Should I add this email to the faq?

Cheers,
Andy



On 05/07/2015 11:43 PM, Jiří Fejfar wrote:
> Hello,
>
> I am just experimenting with implementation of neural network based on
> http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial made by the
> team of Andrew Ng on Stanford. I am thinking about creating the
> library covering this functionality in Python (object-oriented with
> NumPy). Covering the code with tests and creating documentation. I
> have some experience with http://eigen.tuxfamily.org/, so I will
> eventually rewrite this library (or its parts) in C++ and create
> bindings in the future.
>
> Do you thing it will be useful to add this functionality to
> scikit-learn sometime in the future?
>
> There is http://sklearn-theano.github.io/feature_extraction/index.html
> with similar purpose, but I found UFLDL more basic and
> straightforward. It also corresponds quite well with NN described in
> http://www-bcf.usc.edu/~gareth/ISL/ , which I found nice.
>
> Best regards, Jiří Fejfar.
>
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