|almost 2 years ago||6 days ago|
|MIT License||Apache License 2.0|
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Corgi: Rust neural network/dynamic automatic differentiation library I have been working on
3 projects | /r/rust | 6 Apr 2021
Fully-connected neural network: https://github.com/patricksongzy/corgi/blob/main/src/dense.rs
We haven't tracked posts mentioning burn yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
autograd-rs - An autograd implementation in Rust
DiffSharp - DiffSharp: Differentiable Functional Programming
Java-Machine-Learning - Deep learning library for Java, with fully connected, convolutional, and recurrent layers. Also features many gradient descent optimization algorithms.
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
rust-mlops-template - A work in progress to build out solutions in Rust for MLOPs
cargo-leptos - Build tool for Leptos (Rust)
tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference [Moved to: https://github.com/sonos/tract]
are-we-learning-yet - How ready is Rust for Machine Learning?