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forward-mode

Here are 5 public repositories matching this topic...

JuliaDiff / ChainRules.jl

forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

julia automatic-differentiation hacktoberfest reverse-mode forward-mode mixed-mode

Updated Nov 16, 2024
Julia

RahulBhalley / deep-learning-with-swift-for-tensorflow-book

Official source code for "Deep Learning with Swift for TensorFlow" 📖

swift machine-learning deep-neural-networks deep-learning tensorflow automatic-differentiation cnn regularization convolutional-neural-networks optimization-methods loss-functions activation-functions swift-for-tensorflow reverse-mode s4tf forward-mode

Updated May 11, 2021
Swift

rixsilverith / nablagrad

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

automatic-differentiation autodiff autodifferentiation reverse-mode forward-mode forward-mode-autodiff reverse-mode-autodiff

Updated Feb 4, 2023
C++

m-YoC / HTN

Automatic forward-mode differential library. It calculates gradient vector and hessian matrix automatically.

cpp automatic-differentiation dual-numbers gradient hessian forward-mode

Updated Jun 23, 2020
C++

Seeam2590 / GradDog

Python Package to do Automatic Differentiation in both Forward and Reverse Mode: pip install graddog

automatic-differentiation scientific-computing python-packages reverse-mode forward-mode

Updated Dec 11, 2020
Python

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