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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 17 days 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
623 commits to main branch, last one 11 days 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 10 months ago
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 4 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
1,923 commits to master branch, last one 5 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
3,466 commits to master branch, last one 4 days ago
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Created
2019-06-24
907 commits to master branch, last one 6 months 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 2 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 4 days 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 22 days 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
306 commits to master branch, last one about a month 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 21 days 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 29 days 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 11 months ago