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Efficiently computes derivatives of NumPy code.
python machine-learning deep-learning neural-network numpy automatic-differentiation autograd scipy derivative backpropagation differentiation numpy-arrays jax ufunc
Gorgonia is a library that helps facilitate machine learning in Go.
go golang machine-learning deep-neural-networks deep-learning neural-network automatic-differentiation artificial-intelligence computation-graph deeplearning gradient-descent hacktoberfest differentiation gorgonia symbolic-differentiation graph-computation
Math.NET Numerics
statistics csharp integration math fsharp interpolation random matrix linear-algebra regression fft numerics differentiation mathnet
automatic differentiation made easier for C++
automatic-differentiation derivatives auto-differentiation differentiation autodiff numerical-derivation autodifferentiation
Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
parse latex csharp parsing integration calculus algebra jupyter math fsharp computer-algebra nuget solver arbitrary-precision symbolic-manipulation equations differentiation inequality symbolic-math
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
a symbolic math expression evaluator for javascript
javascript latex integration calculus algebra math solver equation symbolic solve-equations fraction expressions differentiation fractions substitutions
clad -- automatic differentiation for C/C++
Single cell trajectory detection
markov-chain dimensionality-reduction scrna-seq trajectory-generation diffusion-maps differentiation manifold-learning single-cell-genomics cell-fate-transitions scrna-seq-analysis
An interface to various automatic differentiation backends in Julia.
Source Code Generation for Automatic Differentiation using Operator Overloading
c-plus-plus latex automatic-differentiation jit mathml dae differentiation algorithmic-differentation
A simple cross platform .NET API for Intel MKL
integration cross-platform math optimization matrix linear-algebra root-finding minimum differentiation mkl
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
macos linux math automatic-differentiation derivatives cpp17 auto-differentiation differentiation autodiff autodifferentiation
Deep.Net machine learning framework for F#
machine-learning deep-learning fsharp dotnet gpu cuda gpu-acceleration ndarray tensor gpu-computing differentiation symbolic-computation symbolic-execution-engine
Modern Fortran Numerical Differentiation Library
optimization numerical-methods finite-differences differentiation graph-coloring numerical-differentiation sparsity-optimization
➗ Library for parsing math expressions with rational numbers, finding their derivatives and compiling an optimal IL code
c-sharp parsing optimization simplification calculations derivative rational-numbers il-optimizations parsing-math-expressions differentiation il
Optimal numerical differentiation of noisy time series data in python.
xFunc provides a powerful parser and analyzer for mathematical expressions. It excels at calculating derivatives, simplifying expressions, and achieving high performance.
c-sharp parser parse math dotnet logic mathematics units-of-measure analyzer simplification expression units complex-numbers lexer derivative math-parser differentiation evaluate-expressions
Backpropagate derivatives through the Cholesky decomposition
Numerical derivatives for Python
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