[theano-users] MILA and the future of Theano

2017-10-04 Thread Michaeel Kazi
Echoing the thanks of many here. I've long considered Theano the best math 
expression package, since it was very intuitive to implement many techniques 
beyond the standard deep learning structures.

It looks like Tensorflow has caught up, though I admit it was strange to see it 
declared 'the winner' over a year ago, before it had even supported a 
non-bucketed approach to recurrence...

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[theano-users] MILA and the future of Theano

2017-09-28 Thread Pascal Lamblin

Dear users and developers,

After almost ten years of development, we have the regret to announce 
that we will put an end to our Theano development after the 1.0 release, 
which is due in the next few weeks. We will continue minimal maintenance 
to keep it working for one year, but we will stop actively implementing 
new features. Theano will continue to be available afterwards, as per 
our engagement towards open source software, but MILA does not commit to 
spend time on maintenance or support after that time frame.


The software ecosystem supporting deep learning research has been 
evolving quickly, and has now reached a healthy state: open-source 
software is the norm; a variety of frameworks are available, satisfying 
needs spanning from exploring novel ideas to deploying them into 
production; and strong industrial players are backing different software 
stacks in a stimulating competition.


We are proud that most of the innovations Theano introduced across the 
years have now been adopted and perfected by other frameworks. Being 
able to express models as mathematical expressions, rewriting 
computation graphs for better performance and memory usage, transparent 
execution on GPU, higher-order automatic differentiation, for instance, 
have all become mainstream ideas.


In that context, we came to the conclusion that supporting Theano is no 
longer the best way we can enable the emergence and application of novel 
research ideas. Even with the increasing support of external 
contributions from industry and academia, maintaining an older code base 
and keeping up with competitors has come in the way of innovation.


MILA is still committed to supporting researchers and enabling the 
implementation and exploration of innovative (and sometimes wild) 
research ideas, and we will keep working towards this goal through other 
means, and making significant open source contributions to other projects.


Thanks to all of you who for helping develop Theano, and making it 
better by contributing bug reports, profiles, use cases, documentation, 
and support.


-- Yoshua Bengio,
Head of MILA

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