forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
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Updated
Mar 26, 2025 - Julia
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
Official source code for "Deep Learning with Swift for TensorFlow" 📖
Automatic forward-mode differential library. It calculates gradient vector and hessian matrix automatically.
Yet another automatic differentiation engine to perform efficient and analytically precise partial differentiation of mathematical expressions.
CUDA subgradients using forward-mode AD.
Python Package to do Automatic Differentiation in both Forward and Reverse Mode: pip install graddog
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