Mind-the-Pineapple / adversarial-autoencoder
Tensorflow 2.0 implementation of Adversarial Autoencoders
☆20Updated 5 years ago
Alternatives and similar repositories for adversarial-autoencoder:
Users that are interested in adversarial-autoencoder are comparing it to the libraries listed below
- Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdf☆32Updated 5 years ago
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆24Updated 6 years ago
- LVAE: Ladder Variational Auto-Encoders (NIPS 2016) with TensorFlow.☆16Updated 7 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 3 years ago
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆68Updated 4 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 6 years ago
- Variational Autoencoder and Classifier hybrid☆26Updated 5 years ago
- Contrastive Variational Autoencoders☆63Updated 6 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- Experiments on Self-Supervised Learning on EEG data☆18Updated 4 years ago
- ☆42Updated 5 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆37Updated last year
- Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.☆26Updated 7 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 6 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆60Updated 7 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"☆28Updated 6 years ago
- Experiments with Adversarial Autoencoders using Keras☆22Updated 5 years ago
- repo for "Decision explanation and feature importance for invertible networks"☆14Updated 5 years ago
- DeepPINK: reproducible feature selection in deep neural networks☆21Updated last year
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆70Updated 3 years ago
- truncated Gaussian-Mixture Variational AutoEncoder☆11Updated 6 years ago
- Mixture of Generative Adversarial Networks for Clustering☆16Updated 6 years ago