Prasanna1991 / MMD_VAE
This repo contains the code for our AAAI-Workshop paper "Learning disentangled representations from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia"
☆11Updated 6 years ago
Alternatives and similar repositories for MMD_VAE:
Users that are interested in MMD_VAE are comparing it to the libraries listed below
- Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"☆42Updated 2 years ago
- HexaGAN: Generative Adversarial Nets for Real World Classification (ICML 2019)☆21Updated 3 years ago
- ☆16Updated 7 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- VAE + Quantile Networks for MNIST☆12Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Dynamic Time Warping algorithm for the Physionet Challenge 2016☆15Updated 8 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 2 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"☆31Updated 5 years ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆19Updated 3 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- research on convolutional neural networks in fourier space☆15Updated 8 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Code for the paper: Audio-Visual Model Distillation Using Acoustic Images☆20Updated 2 years ago
- ☆13Updated 7 years ago
- Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization☆13Updated 2 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Updated 5 years ago
- Code accompanying the paper Sobolev GAN https://arxiv.org/abs/1711.04894☆12Updated 7 years ago
- ☆29Updated 3 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 4 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- Official implementation of "On GANs and GMMs"☆66Updated 5 years ago
- Code for our paper "Acoustic Features Fusion using Attentive Multi-channel Deep Architecture" in Keras and tensorflow☆26Updated 6 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification☆35Updated 6 years ago
- ☆10Updated 5 years ago
- code for hierarchical importance weighted autoencoders☆11Updated 5 years ago
- Simple Tensorflow implementation of "SRM : A Style-based Recalibration Module for Convolutional Neural Networks"☆18Updated 5 years ago