There are 5 repositories under differentiation topic.
Math.NET Numerics
New open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
clad -- automatic differentiation for C/C++
Source Code Generation for Automatic Differentiation using Operator Overloading
An interface to various automatic differentiation backends in Julia.
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
:heavy_division_sign: Library for parsing math expressions with rational numbers, finding their derivatives and compiling an optimal IL code
Modern Fortran Numerical Differentiation Library
Optimal numerical differentiation of noisy time series data in python.
Programming language for symbolic computation with unusual combination of pattern matching features: Tree patterns, associative patterns and expressions embedded in patterns.
FractionalCalculus.jl: A Julia package for high performance, comprehensive and high precision numerical fractional calculus computing.
Implementing (parts of) TensorFlow (almost) from Scratch
A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.
The original Golang library for single variable differentiation and integration.
Implementation of dual numbers for automatic differentiation of programs
Implemented the forward mode of automatic differentiation with the help of dual numbers using Python.
Signal analysis tool featuring FFT (fast Fourier transform), fractal dimension, entropy, and numerical differentiation and integration
Weighted least squares meshless interpolator and differentiator.
Savitzky-Golay differentiation filters
Algorithmic differentiation with hyper-dual numbers in C++ and Python
CASprzak is a Computer Algebra System by EasyKayzey (Erez Israeli Miller and Michael Kasprzak)
Symbolic mathematics and calculus in Ruby