mabagheri / CGANLinks
Keras implementation of Conditional Generative Adversarial Nets (CGAN)
☆17Updated 4 years ago
Alternatives and similar repositories for CGAN
Users that are interested in CGAN are comparing it to the libraries listed below
Sorting:
- pytorch implementation of GAN and Conditional GAN☆19Updated 7 years ago
- An application of Self-Attention GANs and DCGAN on mnist dataset.☆49Updated 5 years ago
- Semi-supervised Regression GAN☆39Updated 5 years ago
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆144Updated last year
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆48Updated 6 years ago
- Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"☆36Updated last month
- Improved training of Wasserstein GANs☆46Updated 4 years ago
- Use Gaussian processes to estimate CNN classification uncertainty☆12Updated 7 years ago
- Conditional Wasserstein Generative Adversarial Network for image-to-image translation.☆25Updated 5 years ago
- optimal deep residual regression model☆37Updated 2 weeks ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆72Updated 8 years ago
- Implementation of Adversarial Autoencoder in Keras☆31Updated 7 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆121Updated 6 years ago
- Self Attention GAN (https://arxiv.org/abs/1805.08318) implemented with keras☆22Updated 6 years ago
- 🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...☆96Updated 5 years ago
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 7 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆40Updated 3 years ago
- Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'☆40Updated 4 years ago
- An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification☆397Updated 2 years ago
- PyTorch implementation of VAEGAN☆28Updated 5 years ago
- Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO f…☆35Updated 3 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- improved by ACWGAN-gp☆10Updated 5 years ago
- Tensorflow2 implementation of the paper GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training☆21Updated 4 years ago
- ☆33Updated 4 years ago
- Implementation of a convolutional auto-encoder in PyTorch☆20Updated 7 years ago
- 这是利用条件GAN(CGAN)实现生成MNIST图像的代码☆28Updated 6 years ago
- Pytorch implementation of Wasserstein GANs with Gradient Penalty☆277Updated 4 years ago
- anomaly detection with GAN☆95Updated 7 years ago
- Keras-Tensorflow implementation of complex-valued convolutional neural networks☆130Updated 11 months ago