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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
r
dae
dde
ode
sde
spde
julia
sciml
python
numerical
scientific
dynamical-systems
stochastic-processes
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-05-11
1,400 commits to master branch, last one 15 days ago
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Created
2019-08-29
361 commits to master branch, last one about a month ago
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 ...
dae
dde
ode
pde
sde
julia
sciml
acausal
symbolic
optimization
equation-based
computer-algebra
symbolic-numerics
symbolic-computation
nonlinear-programming
differential-equations
scientific-machine-learning
delay-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-02-27
6,565 commits to master branch, last one 18 hours ago
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created
2017-03-14
2,721 commits to master branch, last one 2 days ago
PDEBench: An Extensive Benchmark for Scientific Machine Learning
Created
2022-06-02
140 commits to main branch, last one about a month ago
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable inte...
Created
2020-05-06
2,101 commits to master branch, last one a day ago
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Created
2016-10-31
1,297 commits to master branch, last one about a year ago
Distributed High-Performance Symbolic Regression in Julia
Created
2021-01-14
3,131 commits to master branch, last one a day ago
Code accompanying my blog post: So, what is a physics-informed neural network?
Created
2021-08-28
3 commits to main branch, last one 3 years ago
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning ...
Created
2016-10-22
9,315 commits to master branch, last one 21 hours ago
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created
2018-04-21
212 commits to master branch, last one 19 hours ago
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Created
2017-02-06
4,676 commits to master branch, last one 2 days ago
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Created
2019-10-04
1,066 commits to master branch, last one 2 days ago
Surrogate modeling and optimization for scientific machine learning (SciML)
Created
2019-05-08
1,214 commits to master branch, last one 3 days ago
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, S...
Created
2016-11-02
3,446 commits to master branch, last one 2 days ago
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Created
2016-10-31
3,084 commits to master branch, last one 21 hours ago
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
dae
dde
ode
pde
sde
sciml
neural-ode
hacktoberfest
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-10-20
3,466 commits to master branch, last one 3 days ago
18.S096 - Applications of Scientific Machine Learning
Created
2020-01-05
21 commits to master branch, last one 2 years ago
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Created
2019-06-24
907 commits to master branch, last one 6 months ago
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
This repository has been archived
(exclude archived)
Created
2017-05-16
1,482 commits to master branch, last one about a year ago
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Created
2016-11-01
2,414 commits to master branch, last one 12 days ago
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Created
2016-10-22
2,334 commits to master branch, last one 2 days ago
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
Created
2021-07-02
1,494 commits to main branch, last one 3 days ago
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Created
2020-08-30
1,995 commits to master branch, last one a day ago
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Created
2019-08-08
645 commits to master branch, last one 2 days ago
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
Created
2019-12-16
159 commits to master branch, last one about a year ago
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
Created
2016-10-30
1,174 commits to master branch, last one 3 days ago
A style guide for stylish Julia developers
Created
2022-05-17
85 commits to main branch, last one 2 days ago
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
Created
2013-03-12
1,046 commits to master branch, last one 13 days ago
Reservoir computing utilities for scientific machine learning (SciML)
Created
2020-01-16
609 commits to master branch, last one 18 days ago