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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
r
dae
dde
ode
sde
spde
julia
sciml
python
numerical
scientific
dynamical-systems
stochastic-processes
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-05-11
1,400 commits to master branch, last one about a month ago
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Created
2020-07-06
163 commits to master branch, last one about a year ago
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Created
2021-07-25
647 commits to main branch, last one a day ago
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Created
2020-04-27
620 commits to master branch, last one 11 months ago
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 10 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
1,927 commits to master branch, last one 9 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
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Created
2020-05-18
58 commits to master branch, last one 3 years ago
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Created
2020-05-08
119 commits to master branch, last one about a year 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
3,469 commits to master branch, last one 10 days ago
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Created
2019-06-24
911 commits to master branch, last one 10 days ago
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
This repository has been archived
(exclude archived)
Created
2017-05-16
1,482 commits to master branch, last one about a year ago
Code for the paper "Learning Differential Equations that are Easy to Solve"
Created
2020-06-22
75 commits to master branch, last one 3 years ago
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
Created
2017-02-04
1,556 commits to master branch, last one about a month 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
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 contains code released by DiffEqML Research
Created
2020-07-31
98 commits to master branch, last one 2 years ago
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Created
2016-10-20
308 commits to master branch, last one 29 days ago
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
dde
ide
ilt
ode
pytorch
stiff-ode
forced-ode
deep-learning
neural-network
riemann-sphere
dynamical-systems
laplace-transform
deep-neural-networks
differential-equations
stereographic-projection
inverse-laplace-transform
delay-differential-equations
neural-differential-equations
integro-differential-equations
Created
2022-06-07
49 commits to main branch, last one about a month ago
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Created
2016-10-31
424 commits to master branch, last one 2 months ago
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
Created
2022-11-10
45 commits to main branch, last one about a year ago