A library for scientific machine learning and physics-informed learning
Pre-built implicit layer architectures with O(1) backprop, GPUs, and sti...
Documentation for the DiffEq differential equations and scientific machi...
Implementation of the paper "Self-Adaptive Physics-Informed Neural Netwo...
Efficient and Scalable Physics-Informed Deep Learning and Scientific Mac...
physics-informed neural network for elastodynamics problem
Lightweight and easy generation of quasi-Monte Carlo sequences with a to...
Source code of 'Deep transfer operator learning for partial differential...
The SciML Scientific Machine Learning Software Organization Website