jiwoongim / DVAE-Pytorch-Links
Denoising Variational Autoencoder
☆19Updated 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:
- ☆68Updated 6 years ago
- Learning deep representations by mutual information estimation and maximization☆324Updated 6 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆201Updated last year
- A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.☆64Updated 6 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆346Updated 6 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆113Updated 5 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆267Updated 4 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 5 years ago
- PyTorch implementation of Adversarially Learned Inference (BiGAN).☆80Updated 7 years ago
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆72Updated 3 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆73Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Generative Model for Neural Networks☆24Updated 5 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 6 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆346Updated 5 years ago
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆194Updated 5 months ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆171Updated 2 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆56Updated 4 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Variational auto encoder in pytorch☆56Updated 6 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated 11 months ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- Disentanglement library for PyTorch☆278Updated 3 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- Assessing Generative Models via Precision and Recall (official repository)☆106Updated 2 years ago
- Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆20Updated 6 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆170Updated 7 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆161Updated 5 years ago