Examples

This section contains Jupyter notebook tutorials demonstrating the usage of torchTT.

Getting Started

• TT decomposition in torchtt
• Basic linear algebra in torchTT

Linear Algebra & Solvers

• AMEN and DMRG for fast TT operations
• Linear solvers in the TT format

Cross Interpolation

• Cross approximation in the TT format
• Univariate Basis Functions: B-Splines
• Gaussian Basis Functions

Neural Networks

• Tensor Train layers for neural networks
• Digit Recognition using Tensor Train (TT) Neural Networks
• Deep TT Density demo
• A physics-informed neural network for the Fokker-Planck equation

Advanced Topics

• Automatic differentiation
• TT Manifold and Riemannian Optimization
• GPU acceleration
• Bayesian Inversion with torchTT