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
6,565 commits to master branch, last one 17 hours 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 2 months ago
200
995
other
36
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created 2017-03-14
2,721 commits to master branch, last one 2 days ago
184
966
bsd-3-clause
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Python library for arbitrary-precision floating-point arithmetic
Created 2011-12-07
1,979 commits to master branch, last one 15 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
1,923 commits to master branch, last one 3 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
9,315 commits to master branch, last one 21 hours ago
41
542
mit
21
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 19 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
78
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 13 days ago
15
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 19 hours ago
101
141
mit
12
The Base interface of the SciML ecosystem
Created 2021-01-26
2,616 commits to master branch, last one 21 hours ago
Python notebooks for Numerical Analysis
Created 2019-08-22
207 commits to master branch, last one about a year 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 21 days ago
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121
unknown
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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 7 months ago
A standard library of components to model the world and beyond
Created 2021-11-02
952 commits to main branch, last one 3 days ago
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110
mit
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Solve ODEs fast, with support for PyMC
Created 2019-08-08
162 commits to master branch, last one 6 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 4 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
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69
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 25 days ago
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Created 2016-10-28
751 commits to master branch, last one 3 days ago
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Created 2020-11-10
430 commits to master branch, last one about a month 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 about a month ago
A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).
Created 2023-04-01
417 commits to main branch, last one a day ago