Deep learning in Rust, with shape checked tensors and neural networks
Build and check deep learning models in Rust with safe and ergonomic tools for creating neural networks.
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dfdx has 1.9k stars on GitHub. It has been forked 107 times. dfdx is written mainly in Rust. It has been in active development since 2021. Its main topics are autodiff, autodifferentiation, autograd, backpropagation.
Deep learning in Rust, with shape checked tensors and neural networks
dfdx is an open-source project.
Yes. dfdx is free and open source — you can use, modify and self-host it.
dfdx is written mainly in Rust.
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