-
-
Notifications
You must be signed in to change notification settings - Fork 159
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
License
SciML/DiffEqFlux.jl
ErrorLooks like something went wrong!
About
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
Topics
neural-networks
partial-differential-equations
differential-equations
ordinary-differential-equations
differentialequations
stochastic-differential-equations
delay-differential-equations
pinn
neural-ode
scientific-machine-learning
neural-sde
neural-pde
neural-dde
neural-differential-equations
stiff-ode
scientific-ml
scientific-ai
neural-jump-diffusions
neural-sdes
physics-informed-learning
Resources
License
Code of conduct
Security policy
Stars
Watchers
Forks
Sponsor this project
Packages 0
No packages published