omerbsezer / Generative_Models_Tutorial_with_DemoLinks
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
☆339Updated 6 years ago
Alternatives and similar repositories for Generative_Models_Tutorial_with_Demo
Users that are interested in Generative_Models_Tutorial_with_Demo are comparing it to the libraries listed below
Sorting:
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆123Updated 7 years ago
- Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 dataset…☆211Updated 2 years ago
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 7 years ago
- Autoencoding beyond pixels using a learned similarity metric by Larsen et al. (https://arxiv.org/abs/1512.09300)☆39Updated 6 years ago
- Simple Implementation of many GAN models with PyTorch.☆399Updated 2 years ago
- Generative Adversarial Networks in TensorFlow 2.0☆78Updated 3 years ago
- A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.☆123Updated 7 years ago
- Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.☆111Updated 4 years ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆72Updated 8 years ago
- Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN,…☆233Updated 3 years ago
- Various GANs for playing around☆35Updated 5 years ago
- WGAN-GP tensorflow implementation☆72Updated 3 years ago
- Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks☆35Updated 5 years ago
- Conditional Wasserstein GANs☆73Updated 7 years ago
- Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (…☆155Updated 8 years ago
- Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)☆220Updated 6 years ago
- Reimplementation of GANs☆425Updated 3 years ago
- Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"☆24Updated 7 years ago
- A wizard's guide to Adversarial Autoencoders☆432Updated 4 years ago
- 🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...☆96Updated 5 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆82Updated 5 years ago
- Variational auto-encoder trained on celebA . All rights reserved.☆183Updated 7 years ago
- Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this reposi…☆139Updated 7 years ago
- Visualization techniques for the latent space of a convolutional autoencoder in Keras☆195Updated 4 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆171Updated 8 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Updated 7 years ago
- This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"☆89Updated 6 years ago
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆201Updated 10 months ago
- Evolutionary Generative Adversarial Networks (E-GAN)☆76Updated 6 years ago
- Autoencoders using Keras☆77Updated 8 years ago