avijit9 / Contractive_Autoencoder_in_Pytorch
Pytorch implementation of contractive autoencoder on MNIST dataset
☆53Updated 6 years ago
Alternatives and similar repositories for Contractive_Autoencoder_in_Pytorch:
Users that are interested in Contractive_Autoencoder_in_Pytorch are comparing it to the libraries listed below
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 5 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 7 years ago
- Deep Transfer Learning Papers☆79Updated 2 years ago
- A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.☆70Updated 6 years ago
- Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…☆71Updated 6 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆32Updated 7 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- model uncertainty using mc dropout☆20Updated 6 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆29Updated 7 years ago
- Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675☆23Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- Auto Encoders in PyTorch☆63Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆41Updated 6 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 8 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 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
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- A machine learning library for PyTorch☆92Updated 2 years ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Updated 3 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated last year