Tf implementation of Semi-supervised GAN
Tensorflow 2. This repository demonstrates how to generate images of handwritten digits (MINIST) using a Deep Convolutional Generative Adversarial Network (DCGAN). 深度卷积生成对抗网络
simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
PyTorch implementation of Variational Autoencoder (VAE) on MNIST dataset.
This repository contains application based on various gans
conditional image synthesis with auxiliary classifier GAN
This notebook shows a basic implementation of a transformer (decoder) architecture for image generation in TensorFlow 2.
Implementation of Variational Auto Encoder (VAE) in pytorch using MNIST data
Pytorch Implementation Of Deep Convolutional Generative Adversarial Networks
Generative Adversarial Network trained to create new MNIST digits
✨ A Img2Img model implemented PyTorch.
Multiple Generation Models for MNIST Data Based on the MNIST Dataset
🛠 GAN Neural Network in Python tested with MNIST datasets
Вариационный автоэнкодер для генерации цифр и предметов одежды
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