jiwoongim / DVAE-Pytorch-Links
Denoising Variational Autoencoder
☆20Updated 7 years ago
Alternatives and similar repositories for DVAE-Pytorch-
Users that are interested in DVAE-Pytorch- are comparing it to the libraries listed below
Sorting:
- ☆66Updated 6 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆201Updated 2 years ago
- A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.☆64Updated 7 years ago
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆59Updated 5 years ago
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆73Updated 4 years ago
- Implementation of DeepJDOT in Keras☆63Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆270Updated 4 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆116Updated 6 years ago
- Source code for the paper MGAN: Training Generative Adversarial Nets With Multiple Generators☆40Updated 6 years ago
- Improving MMD-GAN training with repulsive loss function☆90Updated 3 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆349Updated 6 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆298Updated 5 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated last year
- Learning deep representations by mutual information estimation and maximization☆322Updated 7 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 6 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 5 years ago
- Variational auto encoder in pytorch☆56Updated 6 years ago
- Wasserstein BiGAN (Bidirectional GAN trained using Wasserstein distance)☆37Updated 6 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- An adversarial autoencoder implementation in pytorch☆86Updated 6 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 6 years ago
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆58Updated 6 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Updated 6 years ago
- Implementation of Generative Moment Matching Networks in pytorch☆16Updated 7 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Updated 7 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆173Updated 3 years ago