Updated 6 months ago
deepxde
A library for scientific machine learning and physics-informed learning
Updated 6 months ago
DiffEqFlux
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
delay-differential-equations
differential-equations
differentialequations
neural-dde
neural-differential-equations
neural-jump-diffusions
neural-networks
neural-ode
neural-pde
neural-sde
neural-sdes
ordinary-differential-equations
partial-differential-equations
physics-informed-learning
pinn
scientific-ai
scientific-machine-learning
scientific-ml
stiff-ode
stochastic-differential-equations
Updated 6 months ago
diffeqdocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Updated 6 months ago
pderoadmap
A repository for the discussion of PDE tooling for scientific machine learning (SciML) and physics-informed machine learning
Updated 6 months ago
scimltutorialsoutput
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Updated 5 months ago
https://github.com/ctu-vras/monoforce
[IROS 2024] [ICML 2024 Workshop Differentiable Almost Everything] MonoForce: Learnable Image-conditioned Physics Engine