Chapter 5: Optimal transport and statistical kernel methods

This gallery contains examples and tutorials for Chapter 5. The examples demonstrate how to use the CodPy library for various optimal transport experiments.

Each example includes code and outputs, such as plots or results, to help you understand how the library works.

Below are the examples for this chapter:

5.2 Optimal Transport: LSAP (Linear Sum Assignment Problem)

5.2 Optimal Transport: LSAP (Linear Sum Assignment Problem)

5.3.3 Kernel Conditional Density

5.3.3 Kernel Conditional Density

5.3.4 Kernel Conditional Expectation

5.3.4 Kernel Conditional Expectation

5.6.a Application of OT in Disitribution Sampling : 1D

5.6.a Application of OT in Disitribution Sampling : 1D

5.6.b Application of OT in Disitribution Sampling : 2D

5.6.b Application of OT in Disitribution Sampling : 2D

5.6.c Application of OT in Disitribution Sampling : High-Dimensional case

5.6.c Application of OT in Disitribution Sampling : High-Dimensional case

5.6.d Exploration Data Analysis of the Latent Space: Spherical Data

5.6.d Exploration Data Analysis of the Latent Space: Spherical Data

5.6.e Exploration Data Analysis of the Latent Space: Spherical Data - 2

5.6.e Exploration Data Analysis of the Latent Space: Spherical Data - 2

5.7. Conditional Sampling

5.7. Conditional Sampling

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