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20 search results found

Differentialequations.jl ⭐ 2,689

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Modelingtoolkit.jl ⭐ 1,292

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

Scimltutorials.jl ⭐ 698

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Diffeqpy ⭐ 456

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

Diffeqbase.jl ⭐ 282

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

Diffeqoperators.jl ⭐ 279

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

Stochasticdiffeq.jl ⭐ 229

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

Diffeqr ⭐ 127

Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

Diffeqbayes.jl ⭐ 119

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Python package to discover stochastic differential equations from time series data

Bridge.jl ⭐ 77

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

Diffeqparamestim.jl ⭐ 60

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Numerical Methods Fortran ⭐ 54

Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran

Sdetools ⭐ 53

Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

Diffeqproblemlibrary.jl ⭐ 51

A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools

Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)

Diffeqfinancial.jl ⭐ 23

Differential equation problem specifications and scientific machine learning for common financial models

Moleculesde ⭐ 15

A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23

Jdmbs: An R Package for Monte Carlo Option Pricing Algorithm for Jump Diffusion Models with Correlational Companies

Numerical experiments with stochastic differential equations in Haskell

Matlab Toolbox for Simulation, Analysis, and Design of Stable Heteroclinic Channel Networks

Deterministicparticleflowcontrol ⭐ 8

Repository for Deterministic Particle Flow Control framework

Related Searches

Python Sde (35)

Python Stochastic Differential Equations (27)

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