ODE integration using Taylor's method, and more, in Julia
OTHER License
Implementation of a Partial Least Squares Regressor
A Julia package for Adaptive Resonance Theory (ART) algorithms.
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) ...
Julia package for function approximation
A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudosp...
An easy-to-use, modular, extendable and absurdly fast Julia package for dynamical billiards in tw...
High-Performance Symbolic Regression in Python and Julia
Gaussian Process package based on data augmentation, sparsity and natural gradients
Multi-language suite for high-performance solvers of differential equations and scientific machin...
A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and ...
Fast operator-overloading Jacobian & Hessian sparsity detection.
A Julia package for simulation, inference and learning of Hidden Markov Models.
Taylor polynomial expansions in one and several independent variables.
Library for multidimensional numerical integration with four independent algorithms: Vegas, Suave...
differentiable boltzmann code