5 results found Sort:

SciML
SciMLBook SciML
336
1.9k
unknown
66
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
sciml neural-ode neural-sde parallelism gpu-computing lecture-notes neural-networks stiff-equations numerical-methods scientific-simulators differential-equations performance-engineering scientific-machine-learning
Created 2019-08-29
365 commits to master branch, last one 5 days ago
SciML
DiffEqFlux.jl SciML
153
873
mit
31
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 5 days ago
SciML
SciMLSensitivity.jl SciML
71
334
other
20
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, S...
dae dde ode sde sciml adjoint neural-ode neural-sde hacktoberfest backpropogation sensitivity-analysis differentialequations differential-equations scientific-machine-learning
Created 2016-11-02
3,469 commits to master branch, last one 6 days ago
xwinxu
bayeSDE xwinxu
28
170
mit
8
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
jax pytorch neural-ode neural-sde sde-solvers deep-learning bayesian-layers deep-neural-networks bayesian-neural-networks stochastic-differential-equations
Created 2021-02-04
48 commits to main branch, last one 2 years ago
SciML
DiffEqNoiseProcess.jl SciML
29
63
other
7
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
sde sciml neural-sde wiener-process brownian-motion noise-processes stochastic-processes differential-equations scientific-machine-learning
Created 2017-04-19
686 commits to master branch, last one 21 days ago