Sde

Module: generative_models.core.sampling.sde

Source: generative_models/core/sampling/sde.py

Overview

SDE-based sampling utilities.

This module provides utilities for sampling using stochastic differential equations (SDEs). SDE-based sampling is useful for score-based generative models and stochastic processes like Brownian motion.

Functions

euler_maruyama_step

def euler_maruyama_step()

milstein_step

def milstein_step()

sde_sampling

def sde_sampling()

Module Statistics

• Classes: 0
• Functions: 3
• Imports: 4