corgi
L2
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corgi
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Corgi: Rust neural network/dynamic automatic differentiation library I have been working on
Fully-connected neural network: https://github.com/patricksongzy/corgi/blob/main/src/dense.rs
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[P] Corgi: Rust neural network/dynamic automatic differentiation library I have been working on
Github: https://github.com/patricksongzy/corgi
L2
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Announcing Burn: New Deep Learning framework with CPU & GPU support using the newly stabilized GAT feature
this is really cool!!! btw i also made a very small toy library years ago in rust too !https://github.com/bilal2vec/L2
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Corgi: Rust neural network/dynamic automatic differentiation library I have been working on
this is really cool! i wrote a library a lot like this last year (https://github.com/bilal2vec/L2) and wrote up a very WIP blog post (https://bilal2vec.github.io/blog/rust/2020/08/02/writing-a-machine-learning-library-in-rust.html) about how i made it if y'all are interested ;)
What are some alternatives?
DiffSharp - DiffSharp: Differentiable Functional Programming
Owlyshield - Owlyshield is an EDR framework designed to safeguard vulnerable applications from potential exploitation (C&C, exfiltration and impact).
Java-Machine-Learning - Deep learning library for Java, with fully connected, convolutional, and recurrent layers. Also features many gradient descent optimization algorithms.
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]
autograd-rs - An autograd implementation in Rust
blindai - Confidential AI deployment with secure enclaves :lock:
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.