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 >> > >> > >> > >> > ------------------------------------------------------------------------------ >> > Precog is a next-generation analytics platform capable of advanced >> > analytics on semi-structured data. The platform includes APIs for >> > building >> > apps and a phenomenal toolset for data science. Developers can use >> > our toolset for easy data analysis & visualization. Get a free account! >> > http://www2.precog.com/precogplatform/slashdotnewsletter >> > _______________________________________________ >> > Scikit-learn-general mailing list >> > Scikit-learn-general@lists.sourceforge.net >> > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> > >> >> >> ------------------------------------------------------------------------------ >> Try New Relic Now & We'll Send You this Cool Shirt >> New Relic is the only SaaS-based application performance monitoring >> service >> that delivers powerful full stack analytics. Optimize and monitor your >> browser, app, & servers with just a few lines of code. Try New Relic >> and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr >> _______________________________________________ >> Scikit-learn-general mailing list >> Scikit-learn-general@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > > -- > Roland > http://rolisz.ro/ > > ------------------------------------------------------------------------------ > Try New Relic Now & We'll Send You this Cool Shirt > New Relic is the only SaaS-based application performance monitoring service > that delivers powerful full stack analytics. Optimize and monitor your > browser, app, & servers with just a few lines of code. 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