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Band-parameters-for-IIIV-compound-semiconductors-
- We present a comprehensive, up-to-date compilation of band parameters for the technologically important III–V zinc blende and wurtzite compound semiconductors: GaAs, GaSb, GaP, GaN, AlAs, AlSb, AlP, AlN, InAs, InSb, InP, and InN, along with their
timeseries_gan-master
- 针对非图像数据的GAN代码，数据源的asv文件需要自己制作。(For non image data GAN code, the ASV file of the data source needs to be made by itself.)
2016_GAN_Matlab-master
- GAN的matlab版本，用于图像分类和生成(The matlab version of GAN is used for image classification and generation)
generative-models-master
- 生成对抗网络中的各种衍生网络结构，包括基础GAN，C-GAN,AC-GAN等等 变分自动编码器各种衍生网络结构，包括条件变分自动编码器等等(Generated in the network against the derivative network structure, including GAN, C-GAN, AC-GAN and so on. The variational autocoder derivative network structure, including con
GAN-master
- 关于各种GAN的代码实列，包括ｃｇａｎ，ｉｎｆｏｇａｎ，ｗｇａｎ等。(Code listings for various GANs, including cgan, infogan, wgan, etc.)
tensorflow-infogan-master
- 很好的GAN安装包，包含平台版本配置需求及操作说明(A good example of GAN, including platform version configuration requirements and operation instruction)
MSGAN
- 解决条件GAN中的模式崩溃问题，改善图像生成的多样性。(To solve the problem of mode breakdown in conditional antagonism generation network and improve the diversity of image generation)
lesson51-WGAN实战
- 生成式对抗网络（GAN, Generative Adversarial Networks ）是一种深度学习模型，是近年来复杂分布上无监督学习最具前景的方法之一。模型通过框架中（至少）两个模块：生成模型（Generative Model）和判别模型（Discriminative Model）的互相博弈学习产生相当好的输出。(Emergent against network (GAN, Generative Adversarial Networks) is a kind of deep learni
PyTorch-GAN-master
- 里面包含多种gan网络，不同网络实现不同效果风格化(It contains a variety of Gan networks, different networks to achieve different effects stylization)