PyTorch 2.0

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • jax-md

    Differentiable, Hardware Accelerated, Molecular Dynamics

  • On the other hand, there is just no MD implemented with PyTorch.

    [1]: https://github.com/jax-md/jax-md

  • diffrax

    Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

  • At least prior to this announcement: JAX was much faster than PyTorch for differentiable physics. (Better JIT compiler; reduced Python-level overhead.)

    E.g for numerical ODE simulation, I've found that Diffrax (https://github.com/patrick-kidger/diffrax) is ~100 times faster than torchdiffeq on the forward pass. The backward pass is much closer, and for this Diffrax is about 1.5 times faster.

    It remains to be seen how PyTorch 2.0 will compare, or course!

    Right now my job is actually building out the scientific computing ecosystem in JAX, so feel free to ping me with any other questions.

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  • tinygrad

    Discontinued You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad] (by geohot)

  • torchmd

    End-To-End Molecular Dynamics (MD) Engine using PyTorch

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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