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Differentiable matrix factorizations using ImplicitDifferentiation.jl.
Updated
Sep 14, 2023
Julia
Parallel Reverse Mode Automatic Differentiation in C# for Custom Neural Network Development
A modular C++17 framework for automatic differentiation
C++ automatic differentiation library with no dependencies and arbitrary higher order derivatives, stand-alone, header only
Reverse-mode autodiff for Clojure
Updated
May 11, 2022
Clojure
Yet another automatic differentiation engine to perform efficient and analytically precise partial differentiation of mathematical expressions.
Lightweight Python package for automatic differentiation
Understanding neural network libraries and the automatic gradient computations (autograd) in the backward pass
Updated
Jan 7, 2024
Python
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