forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
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Updated
Nov 16, 2024 - Julia
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
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
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