forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
-
Updated
Sep 30, 2025 - Julia
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
Fortran library providing automatic differentiation
Numeric and symbolic automatic differentation for javascript and typescript
Second order optimization with automatic differentiation
Official source code for "Deep Learning with Swift for TensorFlow" 📖
Yet another automatic differentiation engine to perform efficient and analytically precise partial differentiation of mathematical expressions.
Python Package to do Automatic Differentiation in both Forward and Reverse Mode: pip install graddog
Add a description, image, and links to the reverse-mode topic page so that developers can more easily learn about it.
To associate your repository with the reverse-mode topic, visit your repo's landing page and select "manage topics."