8 results found Sort:

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
1,403 commits to master branch, last one 8 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
7,179 commits to master branch, last one 3 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
1,947 commits to master branch, last one 7 days ago
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555
mit
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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 27 days ago
117
323
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
3,523 commits to master branch, last one 2 days ago
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143
other
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Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Created 2018-04-19
178 commits to master branch, last one 2 months ago
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
Created 2022-06-07
58 commits to main branch, last one about a month 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 about a month ago