Hi Vlad,
I haven't found another suitable project, so I won't be participating this
year in GSOC.
I still plan to contribute to scikit-learn and hopefully next I'll find a
good project for GSOC
On Thu, May 2, 2013 at 11:19 AM, Vlad Niculae <zephy...@gmail.com> wrote:
> Hi Roland,
>
> How is it going? The deadline is fast approaching. Could you share
> some version of your proposal for some feedback?
>
> Yours,
> Vlad
>
> On Sat, Apr 27, 2013 at 5:21 AM, Roland Szabo <rol...@gmail.com> wrote:
> > LSTMs have proven to be useful as sequence learning methods, in some
> cases
> > outperforming HMMs[1]. But I know that there was some discussion about
> > removing the HMMs from scikit-learn, so I presume that this and the fact
> > that they require a more DSL-like configuration would not make them a
> good
> > GSOC project.
> >
> > So I'll take a good look again at the Project Ideeas list.
> >
> >
> > 1. http://www.idsia.ch/~juergen/tpami_2008.pdf
> >
> >
> > On Wed, Apr 24, 2013 at 5:43 AM, Vlad Niculae <zephy...@gmail.com>
> wrote:
> >>
> >> Dear Roland,
> >>
> >>
> >> In my opinion the directions in Issam's deep learning proposal are a
> >> bit better suited for scikit-learn. Our estimators are supposed to be
> >> black-box and as general as possible with sensible defaults. I don't
> >> know to what extent recurrent nets can be implemented in such a way.
> >>
> >> Could you discuss a bit how recurrent networks with long-short term
> >> memory would fit in scikit-learn and in what ways they would be
> >> useful?
> >>
> >> As for the Kohonen SOM, for some reason academics in our country
> >> *love* them, but they had enough time to prove themselves useful and
> >> apparently have not.
> >> There was a failed attempt to merge this a while back:
> >> https://github.com/scikit-learn/scikit-learn/pull/39
> >>
> >> In my opinion autoencoders are exciting as a scikit-learn
> >> contribution. A good design should be figured out to allow sharing of
> >> low-level code with the MLP.
> >>
> >> Yours,
> >> Vlad
> >>
> >> On Sat, Apr 20, 2013 at 12:43 AM, Roland Szabo <rol...@gmail.com>
> wrote:
> >> > Hi!
> >> >
> >> > I'm a 2nd year student at Babes-Bolyai university in Cluj. I am
> >> > interested
> >> > in contributing to scikit-learn and in participating in GSOC.
> >> >
> >> > I am doing my bachelor's thesis about neural networks and I would to
> >> > implement some of the most commonly used ones in scikit-learn.
> >> >
> >> > I know there are two pull requests about multi-layer perceptrons (one
> >> > from
> >> > Lars and one from Hannes) and one for Restricted Boltzmann Machines. I
> >> > read
> >> > that Andreas would like to merge the RBM as soon as possible, but the
> >> > MLP
> >> > pull request still has plenty of work left to do.
> >> >
> >> > Besides this I would like to implement autoencoders, Kohonen
> >> > Self-Organizing
> >> > Maps[1] and Long Short Term Memory[2]
> >> >
> >> > I have already contributed a three small fixes to scikit-learn (and if
> >> > you
> >> > have any other issues with which I can help I would be happy to do
> so).
> >> >
> >> > What do you think?
> >> >
> >> > --
> >> > Roland
> >> > http://rolisz.ro/
> >> >
> >> > [1]
> >> >
> >> >
> http://www.eicstes.org/EICSTES_PDF/PAPERS/The%20Self-Organizing%20Map%20(Kohonen).pdf
> >> > [2] http://www.cs.umd.edu/~dmonner/papers/nn2012.pdf
> >> >
> >> >
> >> >
> >> >
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> >> >
> >>
> >>
> >>
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> >
> >
> > --
> > Roland
> > http://rolisz.ro/
> >
> >
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--
Roland
http://rolisz.ro/
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