neural-ode topic

Arrays with arbitrarily nested named components.

jonniedie

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

SciML

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...

SciML

18.S096 - Applications of Scientific Machine Learning

mitmath

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

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

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

SciML

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

SciML