Well, I definitely would like to continue using Theano and be able to 
contribute and merge code after MILA lab abandons it's repository. 

суббота, 30 сентября 2017 г., 0:02:56 UTC+3 пользователь Thomas написал:
>
> On behalf of the PyMC3 community -- thanks for all the hard work. A shame, 
> Theano is still leading in many areas compared to other packages like 
> TensorFlow (e.g. graph optimizations).
>
> Is no one here interested in carrying on maintenance and development of 
> this amazing package?
>
> On Fri, Sep 29, 2017 at 10:33 PM, Fariz Rahman <farizr...@gmail.com 
> <javascript:>> wrote:
>
>> Thanks for years of hard work on behalf of the Keras community.
>>
>>
>> On Thursday, September 28, 2017 at 9:53:05 PM UTC+5:30, Pascal Lamblin 
>> wrote:
>>
>>> 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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>
>

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