pranjaldatta / Denoising-Autoencoder-in-PytorchLinks
A Pytorch Implementation of a denoising autoencoder.
☆47Updated 6 years ago
Alternatives and similar repositories for Denoising-Autoencoder-in-Pytorch
Users that are interested in Denoising-Autoencoder-in-Pytorch are comparing it to the libraries listed below
Sorting:
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆58Updated 7 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆121Updated 6 years ago
- Improved training of Wasserstein GANs☆47Updated 4 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆29Updated 3 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆106Updated 2 years ago
- ☆239Updated 5 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆135Updated 2 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆255Updated 3 years ago
- Various autoencoders with ResNet, DenseNet and U-Net implementations, as well as VAE and GAN implementations.☆39Updated 2 years ago
- ☆40Updated 6 years ago
- Pytorch Implementation of ClusterGAN (arXiv:1809.03627)☆96Updated 2 years ago
- Pytorch implementation of various neural network interpretability methods☆119Updated 3 years ago
- Variational AutoEncoder + ResNet Transfer Learning☆233Updated 3 years ago
- Autoencoders in PyTorch☆97Updated 3 years ago
- Pytorch implementations of various types of autoencoders☆65Updated 7 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆75Updated 6 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆41Updated 4 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆303Updated 5 years ago
- A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.☆88Updated 2 years ago
- Convolutional Autoencoder with SetNet in PyTorch☆90Updated 3 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 5 years ago
- End-to-end Deep Linear Discriminant Analysis in Pytorch.☆17Updated 4 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆121Updated 4 years ago
- ☆41Updated 2 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆68Updated 5 years ago
- PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].☆20Updated 5 years ago
- Pytorch implementation of BiGAN and Conditional BiGAN☆25Updated 6 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆206Updated 3 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- This is a reimplementation of the blog post "Building Autoencoders in Keras". Instead of using MNIST, this project uses CIFAR10.☆74Updated 7 years ago