Alvinhech / resnet-autoencoderLinks
course project for ECS 269
☆23Updated 6 years ago
Alternatives and similar repositories for resnet-autoencoder
Users that are interested in resnet-autoencoder are comparing it to the libraries listed below
Sorting:
- Keras Implementation of adverserial autoencoder (AAE)☆55Updated 6 years ago
- Pytorch Deep Clustering with Convolutional Autoencoders implementation☆107Updated 4 years ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆132Updated 2 years ago
- Pytorch Implementation of ClusterGAN (arXiv:1809.03627)☆96Updated 2 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆35Updated 8 years ago
- Convolutional Autoencoder with SetNet in PyTorch☆88Updated 2 years ago
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆100Updated 4 years ago
- Semi-supervised Regression GAN☆39Updated 5 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Pytorch implementation of semi-supervised DCGAN based on "Improved Techniques for Training GANs"☆41Updated 3 years ago
- A PyTorch implementation of an autoencoder trained to minimize the Mahalanobis distance between input and reconstruction.☆26Updated 5 years ago
- VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.☆79Updated 5 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- The author's officially unofficial Pytorch EvolutionaryGAN implementation.☆67Updated 5 years ago
- Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.☆109Updated 4 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆107Updated 3 years ago
- PyTorch implementation of Variational Autoencoder (VAE) on MNIST dataset.☆24Updated last year
- Various autoencoders with ResNet, DenseNet and U-Net implementations, as well as VAE and GAN implementations.☆38Updated last year
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Updated 6 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆58Updated 7 years ago
- ☆155Updated last year
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆125Updated 4 years ago
- This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…☆55Updated 6 years ago
- A Pytorch Implementation of the Beta-VAE☆44Updated 6 years ago
- Auto Encoders in PyTorch☆63Updated 7 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆29Updated 3 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆147Updated 6 years ago
- Sparse Autoencoders using FashionMNIST dataset☆35Updated 7 years ago
- An implementation of DenseNet for 1D inputs in Keras☆36Updated 7 years ago