Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
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Updated
Jul 25, 2024 - Rust
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
A small scalar autograd engine / Rust lib, inspired from karpathy/micrograd, with a few more features, such as additional activation functions, loss criterions, optimizers and accuracy metrics. Capable of MNIST classification.
Deep learning in Rust, with shape checked tensors and neural networks
Rust port of Karpathy's micrograd & associated stuff.
Acme aims to be a complete auto differentiation system written in Rust.
Automatic differentiation in Rust for educational purposes. Autograd / tinygrad / micrograd / gradients.
Automatic panorama stitching with automatic camera calibration/distortion estimation
🌲 Ahead-of-time Static Macro-gen Automatic Differentiation. A little bit like Jax. Now in Beta
crates.io: Differentiable expression templates in Rust.
A tiny autodiff library for learning
Autodifferentiation package in Rust.
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