一些生成网络相关的算法
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2025-04-26 09:26:52 +00:00
bayes fixed the bug in GMM and implement it in demo 2025-04-21 12:21:18 +00:00
gan Add gan implementation 2025-04-26 09:26:52 +00:00
readme.md add naive bayes and gmm in sklearn 2025-04-13 09:54:51 +00:00

Generative Models

  1. Introduction
  2. Structure
  3. Requirements

Introduction

There are so many generative ideas, including ar, vae, gan, flow, diffusion. For each idea, researchers have developed many algorithms by combining other frameworks, such as visual auto regressive, which is the best paper of NeurIPS 2024, as stable diffusion, which is an excellent work on image generation. This package is trying to reproduce some excellent algorithms, and is going to extend their applications to SPAD tasks. All these algorithms can be the backbone in many complex frameworks.

Structure of the Project

Requirements for Each Algorithm