wanglouis49 / pytorch-autoencodersLinks
Implementation of autoencoders in PyTorch
☆57Updated 7 years ago
Alternatives and similar repositories for pytorch-autoencoders
Users that are interested in pytorch-autoencoders are comparing it to the libraries listed below
Sorting:
- An adversarial autoencoder implementation in pytorch☆85Updated 6 years ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆142Updated 6 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆62Updated 7 years ago
- dcgan combined with vae in pytorch!☆117Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆171Updated 8 years ago
- PyTorch implementation of Adversarially Learned Inference (BiGAN).☆80Updated 7 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆191Updated 7 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 7 years ago
- ☆66Updated 6 years ago
- code for "Adversarial Feature Learning"☆239Updated 3 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆201Updated 2 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 8 years ago
- Pytorch implementation of semi-supervised DCGAN based on "Improved Techniques for Training GANs"☆41Updated 3 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆296Updated 5 years ago
- Pytorch implementation of Virtual Adversarial Training☆134Updated 6 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆105Updated 5 years ago
- PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN☆38Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆123Updated 7 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)☆294Updated 2 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆187Updated 6 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆65Updated 7 years ago