dhanushkamath / VariationalAutoencoderLinks
An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.
☆21Updated 5 years ago
Alternatives and similar repositories for VariationalAutoencoder
Users that are interested in VariationalAutoencoder are comparing it to the libraries listed below
Sorting:
- Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch☆32Updated 2 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
- Generative Adversarial Networks in TensorFlow 2.0☆78Updated 3 years ago
- Jupyter Notebook on Conditional GAN☆13Updated 6 years ago
- A Python library for visualizing convolutional neural networks.☆21Updated 5 years ago
- Autoencoders in PyTorch☆97Updated 3 years ago
- 🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...☆96Updated 5 years ago
- A semi supervised GAN for image classification implemented in Pytorch☆52Updated 4 years ago
- Hands-On Generative Adversarial Networks with Keras, published by Packt☆79Updated 3 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆122Updated 7 years ago
- Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'☆40Updated 4 years ago
- DEEP INTERPRETABLE ARCHITECTURE FOR PLANT DISEASES CLASSIFICATION☆17Updated 5 years ago
- An application of Self-Attention GANs and DCGAN on mnist dataset.☆49Updated 5 years ago
- A pytorch implementation of WGAN-GP☆23Updated 6 years ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆71Updated 8 years ago
- Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.☆111Updated 4 years ago
- Frechet Inception Distance for Keras-based GANs☆19Updated 6 years ago
- [IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a…☆33Updated 6 years ago
- A simple, easy-to-use and flexible siamese neural network implementation for Keras☆69Updated last year
- Keras Implementation of adverserial autoencoder (AAE)☆55Updated 7 years ago
- Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.☆47Updated 7 years ago
- Improved training of Wasserstein GANs☆47Updated 4 years ago
- course project for ECS 269☆23Updated 6 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆304Updated 5 years ago
- Tensorflow2 implementation of the paper GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training☆21Updated 5 years ago
- PyTorch implementation of VAEGAN☆28Updated 6 years ago
- Keras Implementation Residual Attention Network☆40Updated 6 years ago
- Data Augmentation optimized for GAN☆58Updated 4 years ago
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆206Updated 11 months ago
- Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras☆35Updated 6 years ago