ReyhaneAskari / pytorch_experiments
Auto Encoders in PyTorch
☆63Updated 7 years ago
Alternatives and similar repositories for pytorch_experiments:
Users that are interested in pytorch_experiments are comparing it to the libraries listed below
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 5 years ago
- Variational auto encoder in pytorch☆55Updated 5 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 5 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 6 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆121Updated 6 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆168Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆70Updated 7 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 2 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 6 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- ☆89Updated 5 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆70Updated 2 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 6 years ago
- PyTorch implementation of semi-supervised GAN☆14Updated 7 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆50Updated 7 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 5 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆32Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆61Updated last year
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago