grain - D Language for Deep Learning

[Shigeki Karita]

On Wednesday, 24 April 2019 at 10:56:54 UTC, jmh530 wrote:
> On Wednesday, 24 April 2019 at 10:51:08 UTC, jmh530 wrote:
>> On Wednesday, 24 April 2019 at 06:13:13 UTC, Fynn Schröder 
>> wrote:
>>> [snip]
>>>
>>> It's an autograd library for dynamic neural networks based on 
>>> mir and cuda. See GitHub for more details: 
>>> https://github.com/ShigekiKarita/grain
>>> I've tried it and it works great -- although it's far from 
>>> feature complete in comparison to e.g. PyTorch.
>>
>> Cool. Thanks for the summary.
>
> Hmm, it looks like there are comparisons between it and 
> chainer, pytorch, and tensorflow. It might be interesting to 
> compare it to some other static autograd libraries. The only 
> one I can think of off the top of my head is Stan's [1], though 
> that's designed more for probabilistic programming than neural 
> networks.
>
> [1] https://github.com/stan-dev/math

I see. I'm interested in Stan that is the best library for 
probabilistic models but it lacks of GPU computation. Therefore, 
I plan to add some probabilistic programming paradigm into grain 
like pytorch (pyro) and tensorflow (tf probability).