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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 about a month ago
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Created
2019-08-29
365 commits to master branch, last one 5 days 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
6,737 commits to master branch, last one 3 days ago
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created
2017-03-14
2,727 commits to master branch, last one 6 days ago
PDEBench: An Extensive Benchmark for Scientific Machine Learning
Created
2022-06-02
140 commits to main branch, last one 2 months 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
2,106 commits to master branch, last one 12 days 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
3,200 commits to master branch, last one 5 days 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
9,492 commits to master branch, last one 14 hours 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
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created
2018-04-21
224 commits to master branch, last one 22 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
4,776 commits to master branch, last one a day 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 about a month ago
Surrogate modeling and optimization for scientific machine learning (SciML)
Created
2019-05-08
1,222 commits to master branch, last one 6 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
3,469 commits to master branch, last one 6 days 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
3,469 commits to master branch, last one 6 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
3,130 commits to master branch, last one 17 hours 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
911 commits to master branch, last one 6 days 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 about a month ago
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Created
2016-10-22
2,350 commits to master branch, last one 9 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
1,506 commits to main branch, last one 8 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
2,003 commits to master branch, last one 4 days 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 about a month 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 2 years 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
1,180 commits to master branch, last one about a month ago
A style guide for stylish Julia developers
Created
2022-05-17
85 commits to main branch, last one about a month ago
Reservoir computing utilities for scientific machine learning (SciML)
Created
2020-01-16
612 commits to master branch, last one 25 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 about a month ago