#计算机科学#Gorgonia is a library that helps facilitate machine learning in Go.
Math.NET Numerics
automatic differentiation made easier for C++
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.
a symbolic math expression evaluator for javascript
#计算机科学#An interface to various automatic differentiation backends in Julia.
Single cell trajectory detection
Source Code Generation for Automatic Differentiation using Operator Overloading
A simple cross platform .NET API for Intel MKL
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
#计算机科学#Deep.Net machine learning framework for F#
➗ 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.
Backpropagate derivatives through the Cholesky decomposition
xFunc provides a powerful parser and analyzer for mathematical expressions. It excels at calculating derivatives, simplifying expressions, and achieving high performance.
#自然语言处理#Programming language for symbolic computation with unusual combination of pattern matching features: Tree patterns, associative patterns and expressions embedded in patterns.
