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Updated
Jan 11, 2022 - Julia
#
differentialequations
Here are 35 public repositories matching this topic...
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
python
r
julia
ode
dde
partial-differential-equations
dynamical-systems
differential-equations
differentialequations
sde
pde
dae
spde
stochastic-differential-equations
delay-differential-equations
stochastic-processes
differential-algebraic-equations
scientific-machine-learning
neural-differential-equations
sciml
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
python
r
julia
ode
dde
partial-differential-equations
differential-equations
ordinary-differential-equations
differentialequations
sde
pde
dae
stochastic-differential-equations
hacktoberfest
neural-ode
scientific-machine-learning
neural-differential-equations
sciml
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Updated
Mar 16, 2022 - CSS
KirillZubov
commented
Jul 18, 2021
add in docs and in testset a Low-level API example with GPU
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
ode
dde
differential-equations
ordinary-differential-equations
numba
differentialequations
sde
dae
stochastic-differential-equations
delay-differential-equations
differential-algebraic-equations
sdes
scientific-machine-learning
sciml
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Updated
Jan 14, 2022 - Python
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
high-performance
ode
differential-equations
ordinary-differential-equations
adaptive
differentialequations
event-handling
hacktoberfest
scientific-machine-learning
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Updated
Mar 15, 2022 - Julia
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
julia
partial-differential-equations
differential-equations
fdm
differentialequations
sde
pde
stochastic-differential-equations
matrix-free
finite-difference-method
neural-ode
scientific-machine-learning
neural-differential-equations
sciml
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Updated
Mar 1, 2022 - Julia
Benchmarks for scientific machine learning (SciML) software and differential equation solvers
benchmark
ode
dde
partial-differential-equations
differential-equations
differentialequations
sde
pde
dae
neural-ode
scientific-machine-learning
stiff-odes
stiff-sdes
nerual-differential-equations
sciml
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Mar 17, 2022 - Julia
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
ode
dde
partial-differential-equations
differential-equations
ordinary-differential-equations
differentialequations
sde
pde
dae
stochastic-differential-equations
delay-differential-equations
differential-algebraic-equations
neural-ode
scientific-machine-learning
neural-differential-equations
sciml
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Updated
Mar 14, 2022 - Julia
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
random
stochastic
noise
differential-equations
adaptive
differentialequations
sde
stochastic-differential-equations
sode
ito
hacktoberfest
solvers
stochastic-processes
stratonovich
random-differential-equations
rode
rde
scientific-machine-learning
sciml
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Updated
Mar 4, 2022 - Julia
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
ode
dde
differentialequations
sde
dae
sensitivity-analysis
hacktoberfest
adjoint
backpropogation
neural-ode
scientific-machine-learning
neural-sde
sciml
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Mar 16, 2022 - Julia
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
julia
clang
ode
ida
differential-equations
ordinary-differential-equations
differentialequations
dae
sundials
cvode
sensitivity-analysis
hacktoberfest
differential-algebraic-equations
kinsol
idas
scientific-machine-learning
hybrid-differential-equation
arkode
sundials-libraries
sciml
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Mar 8, 2022 - Julia
Arrays with arbitrarily nested named components.
machine-learning
simulation
optimization
julia
modeling
array
controls
neural-networks
arrays
dynamical-systems
control-systems
differential-equations
modeling-language
differentialequations
simulation-modeling
named-tuples
controls-and-dynamics
neural-ode
scientific-machine-learning
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Mar 15, 2022 - Julia
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
gpu
ode
dde
differential-equations
differentialequations
sde
dae
neural-ode
scientific-machine-learning
neural-differential-equations
gpu-parallelism
sciml
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Updated
Mar 4, 2022 - Julia
Open
Lint petab models
FFroehlich
commented
Mar 1, 2022
CLI already lints, but programmatic interface doesn't lint by default. Model linting should definitely be performed when import fails to avoid having to reimplement validation checks in amici and provide helpful error messages.
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
julia
partial-differential-equations
differential-equations
differentialequations
pde
fenics
scientific-machine-learning
sciml
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Updated
Dec 2, 2021 - Julia
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
models
ode
dde
differential-equations
differentialequations
sde
dae
multiscale
neural-ode
scientific-machine-learning
neural-differential-equations
scientific-ml
scientific-ai
hybrid-differential-equations
sciml
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Dec 22, 2021 - Julia
Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)
julia
differential-equations
differentialequations
jacobian
scientific-machine-learning
sparsity-detection
sparsity-pattern
sciml
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Dec 3, 2021 - Julia
Uncertainty quantification for scientific machine learning (SciML) and differential equations
differential-equations
differentialequations
uncertainty-quantification
uq
scientific-machine-learning
sciml
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Updated
Jan 21, 2022 - Julia
A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
fast
ode
differential-equations
ordinary-differential-equations
differentialequations
hamiltonian
second-order-differential-equations
scientific-machine-learning
sciml
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Updated
Dec 3, 2021 - Julia
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Updated
Mar 12, 2022 - Julia
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
estimation
ode
dde
differential-equations
parameter-estimation
ordinary-differential-equations
differentialequations
sde
dae
stochastic-differential-equations
differential-algebraic-equations
neural-ode
scientific-ai
scientfic-ml
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Updated
Dec 7, 2021 - Julia
Delay differential equation solvers for the SciML scientific machine learning ecosystem
julia
dde
differential-equations
adaptive
differentialequations
delay-differential-equations
solvers
stiff
scientific-machine-learning
sciml
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Updated
Mar 15, 2022 - Julia
Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organization
ode
differential-equations
ordinary-differential-equations
differentialequations
dae
differential-algebraic-equations
bdf
scientific-machine-learning
dassl
sciml
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Updated
Dec 3, 2021 - Julia
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
ode
dde
differential-equations
differentialequations
sde
dae
stochastic-differential-equations
neural-ode
scientific-machine-learning
neural-differential-equations
sciml
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Updated
Jan 25, 2022 - Julia
Differential equation problem specifications and scientific machine learning for common financial models
financial
stochastic
differential-equations
differentialequations
sde
stochastic-differential-equations
black-scholes
black-scholes-merton
scientific-machine-learning
sciml
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Updated
Dec 3, 2021 - Julia
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
gpu
differential-equations
differentialequations
bvp
neural-ode
scientific-machine-learning
neural-differential-equations
neural-bvp
sciml
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Updated
Dec 3, 2021 - Julia
Monte Carlo simulation routines for high-performance parallelization of differential equation solvers and scientific machine learning
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Updated
Nov 30, 2020 - Julia
Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem
differential-equations
differentialequations
dae
differential-algebraic
daskr
differential-algebraic-equations
scientific-machine-learning
sciml
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Updated
Dec 3, 2021 - Julia
A general purpose numerical simulator supporting nested dynamical systems and a convenient macro-based data logger.
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Updated
Dec 27, 2021 - Julia
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https://arxiv.org/abs/2012.06684
@samuela is there code to share that could become a tutorial? I think it would be good to make one.