CurvLinOps Logo

Getting started

  • How to use CurvLinOps

CurvLinOps

  • Linear operators
  • Spectral density approximation
  • Trace approximation
  • Diagonal approximation
  • Experimental
  • Code samples
    • Eigenvalues
    • Matrix-vector products
    • Visual tour of curvature matrices
    • Sub-matrices of linear operators
    • Fisher-weighted Model Averaging
    • Inverses (natural gradient)
    • Spectral density estimation (verification)
    • Monte-Carlo approximation of the Fisher

Internals

  • Internals
CurvLinOps
  • Code samples
  • View page source

Code samples

Eigenvalues

Eigenvalues

Matrix-vector products

Matrix-vector products

Visual tour of curvature matrices

Visual tour of curvature matrices

Sub-matrices of linear operators

Sub-matrices of linear operators

Fisher-weighted Model Averaging

Fisher-weighted Model Averaging

Inverses (natural gradient)

Inverses (natural gradient)

Spectral density estimation (verification)

Spectral density estimation (verification)

Monte-Carlo approximation of the Fisher

Monte-Carlo approximation of the Fisher

Download all examples in Python source code: basic_usage_python.zip

Download all examples in Jupyter notebooks: basic_usage_jupyter.zip

Gallery generated by Sphinx-Gallery

Previous Next

© Copyright 2022, F. Dangel, L. Tatzel.

Built with Sphinx using a theme provided by Read the Docs.