physics-informed-ml topic
harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
OperatorLearning.jl
No need to train, he's a smooth operator
neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
SciMLTutorialsOutput
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
heat-pinn
A Physics-Informed Neural Network to solve 2D steady-state heat equations.
PINO_Applications
Applications of PINOs
PINNacle
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
continuiti
Learning function operators with neural networks.