Gorgonia is a library that helps facilitate machine learning in Go.
-
Updated
Aug 10, 2020 - Go
Gorgonia is a library that helps facilitate machine learning in Go.
Math.NET Numerics
automatic differentiation made easier for C++
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
a symbolic math expression evaluator for javascript
Deep.Net machine learning framework for F#
Source Code Generation for Automatic Differentiation using Operator Overloading
clad -- automatic differentiation for C/C++
Single cell trajectory detection
Implementing (parts of) TensorFlow (almost) from Scratch
Programming language for symbolic computation with extraordinary combination of pattern matching features: Tree patterns, associative patterns and expressions embedded in patterns.
Modern Fortran Numerical Differentiation Library
xFunc is a simple and easy to use application that allows you to build mathematical and logical expressions. It's written on C#. The library includes the code that converts strings to expressions (parser, lexer and etc.)
eXpression differentiation in Julia
Automatic Differentiation Package for MATLAB
Numerical methods and exercises for Physics and Astrophysics: Integration and Differentiation,Ordinary Differential Equations, Linear Algebra and FFTs, Advection and Hyperbolic Partial Differential Equations, Elliptic Partial Differential Equations, Computational Fluid Dynamics.
The one and only Golang library for single variable differentiation and integration.
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
Weighted least squares meshless interpolator and differentiator.
CASprzak is a Computer Algebra System by EasyKayzey (Erez Israeli Miller and Michael Kasprzak)
Savitzky-Golay differentiation filters
A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.
Single cell trajectory detection
Automatic differentiation with dual numbers
First- and second-order complex step derivative approximation
A computer algebra system (CAS) in Java. It can be used for evaluation and simplifcation of mathematical expressions, differentiation and integration of functions and much more.
Add a description, image, and links to the differentiation topic page so that developers can more easily learn about it.
To associate your repository with the differentiation topic, visit your repo's landing page and select "manage topics."