28 results found Sort:

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
6,737 commits to master branch, last one 3 days ago
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Created 2019-07-14
117 commits to master branch, last one 3 months ago
202
1.0k
other
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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
2,727 commits to master branch, last one 6 days ago
184
972
bsd-3-clause
43
Python library for arbitrary-precision floating-point arithmetic
Created 2011-12-07
1,983 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
1,927 commits to master branch, last one 6 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
9,492 commits to master branch, last one 21 hours ago
43
544
mit
20
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 a day ago
117
321
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
3,469 commits to master branch, last one 6 days ago
79
209
bsd-2-clause
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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
1,046 commits to master branch, last one about a month ago
15
143
other
11
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 17 days ago
104
141
mit
12
The Base interface of the SciML ecosystem
Created 2021-01-26
2,757 commits to master branch, last one a day ago
Python notebooks for Numerical Analysis
Created 2019-08-22
207 commits to master branch, last one about a year ago
49
123
unknown
22
AUTO is a publicly available software for continuation and bifurcation problems in ordinary differential equations originally written in 1980 and widely used in the dynamical systems community.
Created 2017-09-19
1,969 commits to master branch, last one 8 months ago
A standard library of components to model the world and beyond
Created 2021-11-02
966 commits to main branch, last one 12 days ago
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
Created 2017-07-24
800 commits to master branch, last one about a month ago
10
112
mit
21
Solve ODEs fast, with support for PyMC
Created 2019-08-08
162 commits to master branch, last one 7 months ago
Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran
Created 2017-01-19
93 commits to master branch, last one 3 years ago
7
93
bsd-2-clause
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∫ Straightforward numerical integration of systems of ordinary differential equations
Created 2015-09-25
608 commits to master branch, last one 5 months ago
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
Created 2020-08-13
23 commits to master branch, last one 3 years ago
29
70
bsd-3-clause
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Numerical methods to solve ordinary differential equations in Rust.
Created 2018-09-10
89 commits to main branch, last one about a month ago
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Created 2016-10-28
751 commits to master branch, last one about a month ago
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Created 2020-11-10
434 commits to master branch, last one 6 days 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 2 months ago
A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).
Created 2023-04-01
421 commits to main branch, last one 9 days ago