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
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- VAE + Quantile Networks for MNIST☆12Updated 6 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- 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
- research on convolutional neural networks in fourier space☆15Updated 8 years ago
- Neural network layer code to implement wavelet deconvolutions☆35Updated 5 years ago
- ☆29Updated 3 years ago
- A good example of deformable convolutional network for mnist classification☆21Updated 5 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 2 years ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆19Updated 3 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 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 titled "Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks" (NeurIPS…☆11Updated 3 years ago
- Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization☆12Updated 2 years ago
- Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"☆31Updated 5 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- This package contains a PyTorch Implementation of IB-GAN of the submitted paper in AAAI 2021☆13Updated 3 years ago
- A module for making weights initialization easier in pytorch.☆17Updated 7 years ago
- Deep learning of an embedding mapping using t-SNE as a loss function on top of a 3-hidden-layer neural network. Use pytorch !☆20Updated 7 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Updated 2 years ago
- Code for our paper "Acoustic Features Fusion using Attentive Multi-channel Deep Architecture" in Keras and tensorflow☆26Updated 6 years ago
- An implementation of Squared Earth-Mover's Distance loss for Neural Networks.☆14Updated 2 years ago
- MINE estimation implemented with Tensorflow 2☆11Updated 5 years ago
- Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.☆11Updated 6 years ago
- Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks☆17Updated 7 years ago