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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
1,384 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 ...
Created 2018-02-27
5,572 commits to master branch, last one a day 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
1,858 commits to master branch, last one 24 days ago
39
500
mit
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Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created 2018-04-21
199 commits to master branch, last one 2 months ago
106
300
other
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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
3,298 commits to master branch, last one 4 days ago
14
136
other
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Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Created 2018-04-19
169 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
813 commits to master branch, last one about a month ago