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Updated
Aug 27, 2021 - Julia
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sciml
Here are 94 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
18.337 - Parallel Computing and Scientific Machine Learning
performance-engineering
parallelism
neural-networks
differential-equations
gpu-computing
numerical-methods
lecture-notes
neural-ode
scientific-machine-learning
neural-sde
stiff-equations
scientific-simulators
sciml
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Updated
Aug 11, 2021 - HTML
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
neural-ode
scientific-machine-learning
neural-differential-equations
sciml
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Updated
Sep 1, 2021 - 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
May 20, 2021 - Python
18.S096 - Applications of Scientific Machine Learning
neural-networks
partial-differential-equations
differential-equations
lecture-notes
neural-ode
scientific-machine-learning
sciml
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Updated
Jul 9, 2020 - HTML
TorkelE
commented
Jul 26, 2021
The package currently exports these function names:
mm , mmr , hill , hillr , hillar.
To avoid these potentially overwriting other stuff people have decalred, they could be moved to some other sub package. They would then be imported using e.g.
using Catalyst.Functions
Local, global, and beyond optimization for scientific machine learning (SciML)
optimization
automatic-differentiation
global-optimization
algorithmic-differentiation
scientific-machine-learning
sciml
local-optimization
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Updated
Aug 8, 2021 - 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
Aug 30, 2021 - Julia
Surrogate modeling and optimization for scientific machine learning (SciML)
high-performance-computing
surrogate
surrogate-models
surrogate-based-optimization
surrogates
scientific-machine-learning
sciml
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Updated
Aug 13, 2021 - 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
solvers
stochastic-processes
stratonovich
random-differential-equations
rode
rde
scientific-machine-learning
sciml
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Updated
Aug 14, 2021 - 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
Aug 31, 2021 - Julia
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
ode
dde
differential-equations
sde
dae
neural-ode
scientific-machine-learning
sciml
physics-informed-learning
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Updated
Sep 1, 2021 - TeX
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
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Updated
Jul 3, 2021 - 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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Updated
Sep 1, 2021 - Julia
Distributed High-Performance symbolic regression in Julia
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Updated
Aug 31, 2021 - 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
differential-algebraic-equations
kinsol
idas
scientific-machine-learning
hybrid-differential-equation
arkode
sundials-libraries
sciml
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Updated
Aug 27, 2021 - Julia
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
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Updated
Aug 24, 2021 - 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
Aug 13, 2021 - 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
adjoint
backpropogation
neural-ode
scientific-machine-learning
neural-sde
sciml
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Updated
Aug 30, 2021 - Julia
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
ode
dde
differential-equations
ordinary-differential-equations
sde
dae
stochastic-differential-equations
delay-differential-equations
differential-algebraic-equations
scientific-machine-learning
sciml
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Updated
Aug 10, 2021 - R
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
julia
ode
dde
probabilistic-programming
differential-equations
stan
ordinary-differential-equations
sde
dae
stochastic-differential-equations
neural-ode
scientific-machine-learning
neural-differential-equations
scientific-ml
scientific-ai
sciml
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Updated
Aug 31, 2021 - Julia
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML)
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Updated
Mar 8, 2021 - Julia
A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
automatic-differentiation
molecular-dynamics
molecular-dynamics-simulation
geometric-algorithms
algorithmic-differentiation
differentiable-programming
symbolic-integration
scientific-machine-learning
sciml
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Updated
May 5, 2021 - Julia
Arrays which also have a label for each element for easy scientific machine learning (SciML)
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Updated
Aug 8, 2021 - Julia
Reservoir computing utilities for scientific machine learning (SciML)
machine-learning
rnn
differential-equations
echo-state-networks
reservoir-computing
scientific-machine-learning
sciml
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Updated
Aug 14, 2021 - Julia
Automatic optimization and parallelization for Scientific Machine Learning (SciML)
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Updated
Aug 15, 2021 - Julia
A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
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Updated
Aug 10, 2021 - Julia
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
integration
automatic-differentiation
quadrature
algorithmic-differentiation
differentiable-programming
scientific-machine-learning
sciml
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Updated
Aug 12, 2021 - Julia
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