reverse-mode-autodiff | Topic | Ecosyste.ms: Repos

Topic: "reverse-mode-autodiff"

Differentiable matrix factorizations using ImplicitDifferentiation.jl.

Language: Julia - Size: 19.5 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 30 - Forks: 1

A modular C++17 framework for automatic differentiation

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Parallel Reverse Mode Automatic Differentiation in C# for Custom Neural Network Development

Language: C# - Size: 98.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

C++ automatic differentiation library with no dependencies and arbitrary higher order derivatives, stand-alone, header only

Language: C++ - Size: 125 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Yet another automatic differentiation engine to perform efficient and analytically precise partial differentiation of mathematical expressions.

Language: C++ - Size: 59.6 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Reverse-mode autodiff for Clojure

Language: Clojure - Size: 49.8 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

A library for reverse mode automatic differentiation

Language: C++ - Size: 1.57 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Lightweight Python package for automatic differentiation

Language: C++ - Size: 26.4 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Understanding neural network libraries and the automatic gradient computations (autograd) in the backward pass

Language: Python - Size: 12.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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