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DeepINN

Installation and contribution

Installation
Contribution
Documentation compilation

Geometry Tutorials

Basic domain
Basic sampling techniques
Domain Basics
Polygons and External Objects
UKAEA SUT

Constraint Tutorials

Dirichlet BC
PDE constraint

Gradient Tutorials

Gradient basics
Gradients in DeepINN

Domain Tutorials

Training dataset

Fully connected neural network

Basics of network design
Forward pass
1D Laplace Equation

2D heat conduction

2D Laplace Equation

Repository
Open issue

Index

By Prakhar Sharma

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