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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
1,400 commits to master branch, last one 15 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 ...
Created 2018-02-27
6,565 commits to master branch, last one 22 hours 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
1,923 commits to master branch, last one 3 days ago
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542
mit
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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 23 hours ago
116
319
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
3,466 commits to master branch, last one 3 days ago
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141
other
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Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Created 2018-04-19
174 commits to master branch, last one 24 hours 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
833 commits to master branch, last one 8 days ago