Synthetic Data Generation (SDG) Using Vanilla GAN

Simple Implementation of many GAN models with PyTorch.

Generative Adversarial Networks in TensorFlow 2.0

Simulate experiments with the Vanilla GAN architecture and training algorithm in PyTorch using this package.

These tutorials are for beginners who need to understand deep generative models.

Vanilla GAN implementation with PyTorch

Implementations of different Generative Adversarial Networks

Speech-Recognition STT Project

Image generation using Vanilla GAN (General Adversarial Network)

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

TensorFlow Generative Adversarial Networks (GANs)

Standard Deep Learning Models implemented in pytorch framework

Vanilla GAN implementation on MNIST dataset using PyTorch

Implement multiple gan including vanilla_gan, dcgan, cgan, infogan and wgan with tensorflow and dataset including mnist.

PyTorch implementation of Vanilla GAN