#
ordinary-differential-equations
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190 public repositories
matching this topic...
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Updated
May 31, 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
May 31, 2024
Julia
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Updated
May 28, 2024
Julia
Python library for arbitrary-precision floating-point arithmetic
Updated
May 9, 2024
Python
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Updated
May 20, 2024
Julia
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Updated
Jun 1, 2024
Julia
The Base interface of the SciML ecosystem
Updated
May 31, 2024
Julia
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
Updated
May 6, 2024
Julia
VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
C and Python examples from my book on using PETSc and Firedrake to solve PDEs
Numerical Methods in SciPy
Updated
May 29, 2024
Jupyter Notebook
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
Updated
Aug 26, 2020
Python
AUTO is a publicly available software for continuation and bifurcation problems in ordinary differential equations originally written in 1980 and widely used in the dynamical systems community.
Updated
Apr 13, 2024
Fortran
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Updated
Mar 18, 2024
Python
A standard library of components to model the world and beyond
Updated
May 30, 2024
Julia
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Updated
May 17, 2024
Julia
pySDC is a Python implementation of the spectral deferred correction (SDC) approach and its flavors, esp. the multilevel extension MLSDC and PFASST.
Updated
Jun 1, 2024
Jupyter Notebook
Python notebooks for Numerical Analysis
Updated
Sep 21, 2023
Jupyter Notebook
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