jan-xu / autoencodersLinks
Various autoencoders with ResNet, DenseNet and U-Net implementations, as well as VAE and GAN implementations.
☆39Updated 2 years ago
Alternatives and similar repositories for autoencoders
Users that are interested in autoencoders are comparing it to the libraries listed below
Sorting:
- Data Augmentation optimized for GAN☆58Updated 4 years ago
- ☆105Updated 5 years ago
- Convolutional Autoencoder with SetNet in PyTorch☆90Updated 3 years ago
- Pytorch implementation of Siamese networks that learns to classify its inputs, the neural networks learns to differentiate between two pe…☆34Updated 6 years ago
- One-Shot Learning with Triplet CNNs in Pytorch☆93Updated 5 years ago
- ☆155Updated last year
- ☆73Updated 4 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆121Updated 6 years ago
- An application of Self-Attention GANs and DCGAN on mnist dataset.☆49Updated 5 years ago
- Triplet-net and triplet loss implementation on pytorch☆41Updated 3 years ago
- code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"☆52Updated 7 years ago
- Visually Explainable VAE☆63Updated 4 years ago
- Variational AutoEncoder + ResNet Transfer Learning☆233Updated 3 years ago
- Example of one shot learning and few shot learning with omniglot dataset.☆27Updated 4 years ago
- This Module implements Spatial Pyramid Pooling (SPP) and Temporal Pyramid Pooling (TPP) as described in different papers.☆58Updated 6 years ago
- EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)☆40Updated 4 years ago
- Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch☆32Updated 2 years ago
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆144Updated last year
- Improved training of Wasserstein GANs☆46Updated 4 years ago
- Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot☆296Updated 3 months ago
- (WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer☆23Updated 4 years ago
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆69Updated 4 years ago
- Visualization toolkit for learned features of neural networks in PyTorch. Feature Visualizer, Saliency Map, Guided Gradients, Grad-CAM, D…☆43Updated 4 years ago
- One Shot Learning Implementation☆42Updated 5 years ago
- Pytorch implementation of various neural network interpretability methods☆118Updated 3 years ago
- Autoencoders in PyTorch☆96Updated 3 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆303Updated 5 years ago
- Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)☆44Updated last year
- Ready to train Pytorch implementation of the CVPR'19 paper "Self-Supervised GANs via Auxiliary Rotation Loss"☆66Updated 6 years ago
- Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more☆142Updated 4 years ago