Enzyme: Towards state-of-the-art AutoDiff in Rust

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/rust

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  • neuronika

    Tensors and dynamic neural networks in pure Rust.

    I have a question: as the maintainer of [neuronika](https://github.com/neuronika/neuronika), a crate that offers dynamic neural network and auto-differentiation with dynamic graphs, I'm looking at a future possible feature for such framework consisting in the possibility of compiling models, getting thus rid of the "dynamic" part, which is not always needed. This would speed the inference and training times quite a bit.

  • rust-ndarray

    ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

    I don't think any of the major ML projects have GPU acceleration because ndarray doesn't support it.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • Rust-CUDA

    Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

    Would you be interested in collaborating and making it part of Rust CUDA? cuDNN is my next target after cuBLAS but it is a lot of work for one person. I would like to keep all library wrappers inside of one org/repo so there is no ambiguity about what will likely be the most complete and/or most maintained.

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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