On Friday, 26 April 2019 at 06:35:42 UTC, Shigeki Karita wrote:
I haven't know that GPU support in Stan. That's Cool! Cholesky
decomposition always suffers me when I use covariance matrix or
something. If you are interested in GPU acceleration in
probabilistic programming, see also this pape
On Wednesday, 24 April 2019 at 17:31:03 UTC, jmh530 wrote:
On Wednesday, 24 April 2019 at 16:33:00 UTC, Shigeki Karita
wrote:
[snip]
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 pro
On Wednesday, 24 April 2019 at 16:33:00 UTC, Shigeki Karita wrote:
[snip]
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 tensor
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 detail
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
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
On Wednesday, 24 April 2019 at 00:02:42 UTC, Andrei Alexandrescu
wrote:
Google Alerts just found these slides:
https://speakerdeck.com/shigekikarita/grain-d-language-for-deep-learning
Does anyone have more information about this?
It's an autograd library for dynamic neural networks bas
Google Alerts just found these slides:
https://speakerdeck.com/shigekikarita/grain-d-language-for-deep-learning
Does anyone have more information about this?