Viewing profile — new_user55
new_user55
HN member- Joined
- Sat, Dec 03, 2022, 1:55 AM UTC
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About new_user55
Recent public activity
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Comment #48911696
You can write the cuda kernels and directly differentiate them using Enzyme. Last time I checked KOKKOS was still WIP: https://github.com/EnzymeAD/Enzyme/issues?q=kokkos
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Comment #48911301
Really nice work. I love Enzyme, and used it in my project about differentiable atomic descriptors. Idea was that I can quickly gobble up existing C++ and fortran codes alike for a…
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Comment #47852840
I will guess for linux. Most out of the box linux laptops I saw were intel based. I guess open source support of intel is best among others in the industry. Even in my current thin…
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Comment #47348182
Its really cool! If you don't mind me asking, does it support variable size inputs? I am bit confused about JAX in that regards. I am trying for long to run JAX stablehlo models in…
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Comment #36871876
We wanted to use ONNX runtime for a "model driver" for MD simulations, where any ML model can be used for molecular dynamics simulations. Problem was it was way too immature. Like …
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Comment #36871829
Tinygrad is python only right? Can it provide gradients during C++ runtime as well? ONNX runtime have multiple language backends for inference.
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Comment #33839545
There is [torch-md]( https://github.com/torchmd/torchmd )