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
Nov 7, 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.
Deep learning in Rust, with shape checked tensors and neural networks
Autodifferentiation package in Rust.
A small scalar autograd engine / Rust crate, inspired from Karpathy's micrograd, with more features, such as more activation functions, optimizers and loss criterions. Capable of MNIST classification.
Automatic panorama stitching with automatic camera calibration/distortion estimation
Automatic differentiation in Rust for educational purposes. Autograd / tinygrad / micrograd / gradients.
A tiny autodiff library for learning
Acme aims to be a complete auto differentiation system written in Rust.
Rust port of Karpathy's micrograd & associated stuff.
crates.io: Differentiable expression templates in Rust.
🌲 Ahead-of-time Static Macro-gen Automatic Differentiation. A little bit like Jax. Now in Beta
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