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Solver linear Schr?dinger equation in 1D using Physics Informed Neural Network.
A library for scientific machine learning and physics-informed learning
Learning in infinite dimension with neural operators.
Code accompanying my blog post: So, what is a physics-informed neural network?
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
A Physics Informed Neural Network made using PyTorch
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
ANI-1 neural net potential with python interface (ASE)
A toolkit with data-driven pipelines for physics-informed machine learning.
Automatic Finite Difference PDE solving with Julia SciML