SciML / StochasticDiffEq.jlLinks
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
☆313Updated last week
Alternatives and similar repositories for StochasticDiffEq.jl
Users that are interested in StochasticDiffEq.jl are comparing it to the libraries listed below
Sorting:
- High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)☆315Updated 4 months ago
- Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem☆320Updated this week
- Taylor polynomial expansions in one and several independent variables.☆364Updated 2 months ago
- Linear operators for discretizations of differential equations and scientific machine learning (SciML)☆285Updated 2 years ago
- A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, …☆379Updated last week
- The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML…☆352Updated this week
- A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. Th…☆305Updated 2 months ago
- Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support☆284Updated last month
- Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms☆323Updated last week
- forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs☆467Updated last week
- Root finding functions for Julia☆394Updated last month
- A Julia Basket of Hand-Picked Krylov Methods☆455Updated last week
- Types and utility functions for summarizing Markov chain Monte Carlo simulations☆278Updated last week
- Fast jacobian computation through sparsity exploitation and matrix coloring☆252Updated 5 months ago
- A common interface for quadrature and numerical integration for the SciML scientific machine learning organization☆242Updated last week
- Abstract types and methods for Gaussian Processes.☆275Updated last month
- Implementation of normalising flows and constrained random variable transformations☆259Updated this week
- Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization☆423Updated 3 weeks ago
- LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, a…☆278Updated this week
- Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.☆415Updated 2 weeks ago
- Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.☆289Updated last month
- Julia package for kernel functions for machine learning☆274Updated last week
- A Julia package to perform Bifurcation Analysis☆343Updated last week
- adaptive 1d numerical Gauss–Kronrod integration in Julia☆303Updated last month
- Fast, general-purpose interactive applications for complex systems☆175Updated last year
- Reverse Mode Automatic Differentiation for Julia☆383Updated 3 weeks ago
- GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem☆313Updated 3 weeks ago
- Lazy arrays and linear algebra in Julia☆310Updated 2 weeks ago
- Simple curve fitting in Julia☆366Updated last week
- Special mathematical functions in Julia☆382Updated this week