tensorken
holo
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tensorken
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Beyond Backpropagation - Higher Order, Forward and Reverse-mode Automatic Differentiation for Tensorken
This post describes how I added automatic differentiation to Tensorken. Tensorken is my attempt to build a fully featured yet easy-to-understand and hackable implementation of a deep learning library in Rust. It takes inspiration from the likes of PyTorch, Tinygrad, and JAX.
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What are you rewriting in rust?
PyTorch 😬 https://github.com/kurtschelfthout/tensorken
holo
- Holo v0.3 released (a pure-Rust routing protocol suite)
- Holo: A routing protocol suite written in Rust
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What are you rewriting in rust?
I'm currently working on the Holo routing protocol suite: https://github.com/rwestphal/holo
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Announcing Holo: a routing protocol suite written in Rust!
Hey, thanks for your input! I totally agree with you - the README file doesn't exactly make it clear how Holo should be used in practice. I'll definitely work on fixing that. In theory, using Holo is actually pretty straightforward - all you need to do is run the holod daemon and configure it through holo-cli or a gRPC script. These wiki pages should be a good starting point: * https://github.com/rwestphal/holo/blob/master/INSTALL.md * https://github.com/rwestphal/holo/wiki/gRPC * https://github.com/rwestphal/holo/wiki/CLI * https://github.com/rwestphal/holo/wiki/Example-Topology Moving forward, I'm definitely planning on improving the documentation to make Holo more accessible to everyone and easier to use. Thanks again for your feedback!
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