17 results found Sort:

430
5.5k
apache-2.0
191
Gorgonia is a library that helps facilitate machine learning in Go.
Created 2016-09-14
896 commits to master branch, last one about a year ago
Math.NET Numerics
Created 2009-06-24
3,351 commits to master branch, last one 10 months ago
172
1.7k
mit
43
automatic differentiation made easier for C++
Created 2018-07-19
594 commits to main branch, last one 13 days ago
New open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
Created 2019-11-27
1,502 commits to master branch, last one 4 months ago
76
582
other
12
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
Created 2010-06-11
2,648 commits to master branch, last one about a month ago
122
288
lgpl-3.0
17
clad -- automatic differentiation for C/C++
Created 2014-02-21
1,244 commits to master branch, last one 3 days ago
50
220
gpl-2.0
11
Single cell trajectory detection
Created 2017-11-22
267 commits to master branch, last one about a month ago
An interface to various automatic differentiation backends in Julia.
Created 2024-01-09
385 commits to main branch, last one 13 hours ago
Source Code Generation for Automatic Differentiation using Operator Overloading
Created 2011-12-26
988 commits to master branch, last one 2 months ago
19
164
apache-2.0
14
A simple cross platform .NET API for Intel MKL
Created 2020-08-27
656 commits to master branch, last one about a month ago
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
Created 2019-04-17
375 commits to master branch, last one about a year ago
9
102
apache-2.0
21
Deep.Net machine learning framework for F#
Created 2016-05-23
1,375 commits to master branch, last one 6 years ago
Modern Fortran Numerical Differentiation Library
Created 2016-10-31
98 commits to master branch, last one 8 months ago
6
57
mit
8
xFunc provides a powerful parser and analyzer for mathematical expressions. It excels at calculating derivatives, simplifying expressions, and achieving high performance.
Created 2012-12-26
1,861 commits to dev branch, last one 8 days ago
Optimal numerical differentiation of noisy time series data in python.
Created 2019-02-06
178 commits to master branch, last one 2 months ago
Numerical derivatives for Python
Created 2020-06-08
107 commits to main branch, last one 5 months ago
FractionalCalculus.jl: A Julia package for high performance, comprehensive and high precision numerical fractional calculus computing.
Created 2021-06-29
277 commits to master branch, last one 7 months ago