torchtt Logo
  • Welcome to torchTT
  • Installation guide
  • Overview
  • API reference
  • Examples
    • 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
    • Neural Networks
      • Tensor Train layers for neural networks
      • Digit Recognition using Tensor Train (TT) Neural Networks
      • Deep TT Density demo
    • Advanced Topics
      • Automatic differentiation
      • TT Manifold and Riemannian Optimization
      • GPU acceleration
torchtt
  • Examples
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torchTT v0.5.0
Stable release · Development (main)

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

Neural Networks

  • Tensor Train layers for neural networks
  • Digit Recognition using Tensor Train (TT) Neural Networks
  • Deep TT Density demo

Advanced Topics

  • Automatic differentiation
  • TT Manifold and Riemannian Optimization
  • GPU acceleration
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