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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 ...
dae
dde
ode
pde
sde
julia
sciml
acausal
symbolic
optimization
equation-based
computer-algebra
symbolic-numerics
symbolic-computation
nonlinear-programming
differential-equations
scientific-machine-learning
delay-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-02-27
7,179 commits to master branch, last one 2 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 5 months ago
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created
2017-03-14
2,731 commits to master branch, last one about a month ago
Python library for arbitrary-precision floating-point arithmetic
Created
2011-12-07
2,026 commits to master branch, last one 18 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
pinn
stiff-ode
neural-dde
neural-ode
neural-pde
neural-sde
neural-sdes
scientific-ai
scientific-ml
neural-networks
differentialequations
differential-equations
neural-jump-diffusions
physics-informed-learning
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-12-26
1,947 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
Rust numeric library with high performance and friendly syntax
Created
2018-04-20
1,755 commits to master branch, last one 12 days 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
9,587 commits to master branch, last one a day ago
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 26 days ago
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
dae
dde
ode
pde
sde
sciml
neural-ode
hacktoberfest
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-10-20
3,523 commits to master branch, last one a day ago
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 3 months ago
C and Python examples from my book on using PETSc and Firedrake to solve PDEs
Created
2014-09-21
2,461 commits to master branch, last one 22 days ago
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
The Base interface of the SciML ecosystem
Created
2021-01-26
2,856 commits to master branch, last one 2 days ago
Python notebooks for Numerical Analysis
Created
2019-08-22
207 commits to master branch, last one about a year ago
A standard library of components to model the world and beyond
Created
2021-11-02
987 commits to main branch, last one 2 days ago
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 10 months 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
802 commits to master branch, last one about a month ago
Solve ODEs fast, with support for PyMC
Created
2019-08-08
162 commits to master branch, last one 9 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
∫ Straightforward numerical integration of systems of ordinary differential equations
Created
2015-09-25
608 commits to master branch, last one 7 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
This repository has no description...
Created
2021-08-17
26 commits to main branch, last one 2 years ago
Model and solve optimal control problems in Julia
Created
2022-09-25
1,043 commits to main branch, last one about a month ago
Numerical methods to solve ordinary differential equations in Rust.
Created
2018-09-10
89 commits to main branch, last one 3 months ago
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Created
2016-10-28
754 commits to master branch, last one 29 days ago
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Created
2020-11-10
436 commits to master branch, last one 27 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 4 months ago
A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).
Created
2023-04-01
771 commits to main branch, last one 5 days ago