neural-differential-equations topic

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...

SciML

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

patrick-kidger

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

patrick-kidger

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

patrick-kidger

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

google-research

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

SciML

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

SciML

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

SciML

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

SciML

Code for the paper "Learning Differential Equations that are Easy to Solve"

jacobjinkelly