目录
目录README.md

CGAN_jittor

This is a jittor implementation of Conditional GAN (CGAN) for MNIST dataset.

requirements

  • The Jittor framework currently supports Linux, Windows (including WSL), and macOS. It requires Python and a C++ compiler (g++ or clang). Jittor offers three installation methods: Docker, pip, and manual installation. For detailed installation instructions, please refer to https://cg.cs.tsinghua.edu.cn/jittor/download/.

Usage

python CGAN.py

Results

  • Example images

example

关于

A Jittor implementation of Conditional GAN (CGAN)

10.0 MB
邀请码
    Gitlink(确实开源)
  • 加入我们
  • 官网邮箱:gitlink@ccf.org.cn
  • QQ群
  • QQ群
  • 公众号
  • 公众号

©Copyright 2023 CCF 开源发展委员会
Powered by Trustie& IntelliDE 京ICP备13000930号