Where is the repository?

On Sunday, January 4, 2015 4:07:22 PM UTC-7, Christian Weilbach wrote:
>
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> Hi all, 
>
> - From the README: 
>
> This library is supposed to implement Boltzmann Machines, Autoencoders 
> and related deep learning technologies. All implementations should 
> both have a clean high-level mathematical implementation of their 
> algorithms (with core.matrix) and if possible, an optimized and 
> benchmarked version of the core routines for production use. This is 
> to facilitate learning for new users or potential contributors, to be 
> able to implement algorithms from papers/other languages and then tune 
> them for performance if needed. 
>
> This repository is supposed to cover techniques building on Restricted 
> Boltzmann Machines, like Deep Belief Networks, Deep Boltzmann Machines 
> or temporal extensions thereof as well as Autoencoders (which I am not 
> familiar enough with yet). Classical back-propagation is also often 
> used to fine-tune deep models supervisedly, so networks should support 
> it as well. 
>
>
>
> I haven't build myself deep belief networks out of it yet, but this 
> should be fairly straightforward. Also combination with the usual 
> linear classifiers (logistic regression, SVM) at the top layer can be 
> explored. If somebody has interest/experience in/with implementing 
> standard backpropagation, go ahead and open a pull-request :-). 
>
> Christian 
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