anon389r58r58

5 ms·

1. 1.▲
   by anon389r58r58 2y ago

   You mean like Modular?
2. 2.▲
   by anon389r58r58 2y ago

   The general rule of thumb to go by is that whatever Karniadakis proposes, doesn't actually work outside of his benchmarks. PINNs don't really work, and _his flavor_ of neural operators also don't really work. PINNs have serio
3. 3.▲
   by anon389r58r58 2y ago

   I think you are asking an ill-posed question in parts. Julia has a lot of great things, and needs to continue evolving to find an even better fit amongst the many programming languages available today and sustain itself long-term. Emulating
4. 4.▲
   by anon389r58r58 2y ago

   Almost feels like a fallacy of Julia at this point, on the one hand Julia really needs a stable, high-performance AD-engine, but on the other hand it seems to be fairly easy to get a minimal AD-package off the ground. And so the perennial c
5. 5.▲
   by anon389r58r58 2y ago

   Fully agree, and I think the tinybox is great if you put only one of them somewhere in your local office. I just don't think it makes sense to connect multiple of them into a "cluster" to work with bigger models, as the netwo
6. 6.▲
   by anon389r58r58 2y ago

   For that you'd probably be better off removing one of the GPUs, and replacing it with a networking card. The problem of the form factor will remain. The tinybox is 15U big for compute that you'd normally expect to find in a 4U for
7. 7.▲
   by anon389r58r58 2y ago

   The networking of the tinybox is woefully inadequate. I.e. it only has an OCP 3.0 interface which is unoccupied. If you can fit everything onto one tinybox, then you'll be good, if you cannot, then you'd be better off by having a
8. 8.▲
   by anon389r58r58 2y ago

   So the answer is not Jax? Because JAX is not designed around a mature compiler stack. The history of Jax is more so that it matured alongside the compiler...
9. 9.▲
   by anon389r58r58 2y ago

   I'd strongly rephrase the title, this is NOT a book on physics-based deep learning. This is a book on the deep learning approaches for physics problems DEVELOPED BY THIS RESEARCH GROUP. I think that is a very very important disclaimer