Hello-Generative-Model Day1. Introduction to (Classic) Generative Model 0) Pytorch Tutorial - HelloPytorch 1) Linear Regression 2) Logistic Regression 3) Gaussian Discriminant Analysis 4) GMM(Gaussian Mixture Model) with EM algorithm Day2. Introduction to Varitional Inference / Probabilistic Neural Network 1) Variational Coin Toss - related blog 2) MNIST classification with Probabilistic (Layer) Neural Network Day3. Introduction to Varitional Auto-Encoder(VAE) 1) AutoEncoder 2) Varitional AutoEncoder - code 3) CVAE Day4. Introduction to Generative Adversarial Networks(GAN) 1) GAN 2) DCGAN Day5. Improved GAN 1) infoGAN 2) WGAN Checkout Other Generative Model Collections Here Day6. Application of Deep Generative Model 1) CVAE 2) AAE 3) CycleGAN Original code Day7. Other Important Deep Generative Model 1) PixelCNN original code 2) Mixture Density Network original code