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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...
Created 2016-05-11
1,406 commits to master branch, last one 2 days ago
212
1.0k
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Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created 2017-03-14
2,752 commits to master branch, last one 4 days ago
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
Created 2018-12-26
1,955 commits to master branch, last one 2 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
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
9,671 commits to master branch, last one 22 hours ago
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Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created 2018-04-21
232 commits to master branch, last one about a month 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
3,499 commits to master branch, last one 2 days ago
118
325
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The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Created 2016-10-20
3,548 commits to master branch, last one a day ago
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Created 2016-10-31
3,218 commits to master branch, last one about a month ago
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Created 2019-06-24
918 commits to master branch, last one 29 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
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Created 2016-10-22
2,373 commits to master branch, last one 3 days ago
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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
1,050 commits to master branch, last one 3 days ago
105
145
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The Base interface of the SciML ecosystem
Created 2021-01-26
2,960 commits to master branch, last one 16 hours ago
Fast and automatic structural identifiability software for ODE systems
Created 2020-08-26
1,341 commits to master branch, last one 2 days ago
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A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
Created 2017-03-29
305 commits to master branch, last one 4 months ago
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Created 2016-10-20
308 commits to master branch, last one 3 months ago
Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
Created 2016-11-02
404 commits to master branch, last one 2 months ago
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Created 2016-10-31
424 commits to master branch, last one 5 months ago
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Created 2016-10-28
754 commits to master branch, last one 2 months ago
Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
Created 2017-01-08
849 commits to master branch, last one 2 months ago
A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
Created 2017-04-14
229 commits to master branch, last one 5 months ago