pylearn2

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If you're interested in theano primarily because of deep learning, I highly recommend you check out pylearn2 (not too much documentation, but docs here:…

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Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:03:30 PM UTC.

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HN mentions by year6 dated mentions

Observed mentions: 2013-03-25 06:00:00 UTC to 2016-02-24 20:59:46 UTC.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

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Period	Start (UTC)	End (exclusive, UTC)	Mentions	Comments
2013	2013-01-01 00:00:00 UTC	2014-01-01 00:00:00 UTC	3	3
2014	2014-01-01 00:00:00 UTC	2015-01-01 00:00:00 UTC	1	1
2015	2015-01-01 00:00:00 UTC	2016-01-01 00:00:00 UTC	1	1
2016	2016-01-01 00:00:00 UTC	2017-01-01 00:00:00 UTC	1	1

What Hacker News says

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jre·Mar 29, 2015

I know of 4 projects for deep learning based on Theano. Keras, Blocks and Lasagne all seem to share the same goal of being more libraries than framework. You can use only one part (e.g. a Layer implementation, training algo) without having to pull in everything : https://github.com/bartvm/blocks https://github.com/benanne/Lasagne Then there is pylearn2, which look more like a framework and seems to be a good candidate for becoming the GPU-accelerated scikit-learn : https://github.com/lisa-lab/pylearn2 I have started using blocks and did some tests with pylearn2. Anybody with more experience want to share the strength/weaknesses of each of those projects ?

In Keras: Theano-Based Deep Learning Library