A semi supervised GAN for image classification implemented in Pytorch

Implementation of a differentially private generative adversarial network.

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springcloud版本的若依,集成springcloud的几大神兽:eureka,gateway,hystrix,feign,config.自定义token实现授权，直接存到redis

Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.

基于SpringBoot2.x+Vue2.x+ElementUI+Iview+Elasticsearch+RabbitMQ+Redis+Shiro的多模块前后端分离的博客项目

eladmin jpa版本：前端源码，项目基于 Spring Boot 2.7.18 、 Spring Boot Jpa、 Spring Security、Redis、Vue的前后端分离后台管理系统

微人事是一个前后端分离的人力资源管理系统，项目采用SpringBoot+Vue开发。

eladmin mybatis-plus版本：项目基于 Spring Boot 2.7.18 、MyBatis-Plus、Spring Security、Redis、Vue的前后端分离的后台管理系统， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由

Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.

Improved Wave-U-Net implemented in Pytorch

Implementation of the Wave-U-Net for audio source separation

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

Simple Tensorflow implementation of Triple Generative Adversarial Nets (NIPS 2017)

[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*, Boxin Wang*, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, …