forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
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Oct 25, 2026 - Julia
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forward-mode
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Fortran library providing automatic differentiation
library fortran automatic-differentiation backpropagation differentiation reverse-mode forward-mode fortran-package-manager partial-differentiation
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May 15, 2026 - Fortran
Official source code for "Deep Learning with Swift for TensorFlow" 📖
swift machine-learning deep-neural-networks deep-learning tensorflow automatic-differentiation cnn regularization convolutional-neural-networks optimization-methods loss-functions activation-functions swift-for-tensorflow reverse-mode s4tf forward-mode
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May 11, 2021 - Swift
Automatic forward-mode differential library. It calculates gradient vector and hessian matrix automatically.
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Jun 23, 2020 - C++
Yet another automatic differentiation engine to perform efficient and analytically precise partial differentiation of mathematical expressions.
automatic-differentiation autodiff autodifferentiation reverse-mode forward-mode forward-mode-autodiff reverse-mode-autodiff
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Feb 4, 2023 - C++
CUDA subgradients using forward-mode Algorithmic Differentiation (AD).
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Sep 3, 2026 - Cuda
Python Package to do Automatic Differentiation in both Forward and Reverse Mode: pip install graddog
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Apr 7, 2026 - Python
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