Skip to content
#

sde

Here are 25 public repositories matching this topic...

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.

  • Updated Nov 6, 2024
  • Julia

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

  • Updated Nov 28, 2024
  • Julia

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

  • Updated Nov 18, 2024
  • Julia

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

  • Updated Nov 17, 2024
  • Julia

Improve this page

Add a description, image, and links to the sde topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the sde topic, visit your repo's landing page and select "manage topics."

Learn more