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no-std burn-autodiff

Automatic differentiation backend for the Burn framework

by Nathaniel Simard and 88 contributors

13 releases (breaking)

new 0.13.0 Apr 12, 2024
0.12.1 Feb 1, 2024
0.12.0 Jan 31, 2024
0.11.1 Dec 4, 2023
0.3.0 Nov 20, 2022

#522 in Machine learning

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12,176 downloads per month
Used in 14 crates (7 directly)

MIT/Apache

1MB
26K SLoC

Burn Autodiff

Burn autodiff backend

Current Crates.io Version license

For now only first order reverse mode autodiff is supported.

lib.rs:

Burn Autodiff

This autodiff library is a part of the Burn project. It is a standalone crate that can be used to perform automatic differentiation on tensors. It is designed to be used with the Burn Tensor crate, but it can be used with any tensor library that implements the Backend trait.

Dependencies

~3.5–5MB
~88K SLoC