Divergence

Module: generative_models.core.losses.divergence

Source: generative_models/core/losses/divergence.py

Overview

Divergence losses module.

This module provides loss functions based on divergence measures between probability distributions, commonly used in generative models like VAEs and GANs.

Functions

compute_kernel_matrix

def compute_kernel_matrix()

energy_distance

def energy_distance()

js_divergence

def js_divergence()

kl_divergence

def kl_divergence()

maximum_mean_discrepancy

def maximum_mean_discrepancy()

pairwise_distance

def pairwise_distance()

reverse_kl_divergence

def reverse_kl_divergence()

wasserstein_distance

def wasserstein_distance()

Module Statistics

• Classes: 0
• Functions: 8
• Imports: 4