mmcdermott / CWR-GANLinks
The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.
☆23Updated 7 years ago
Alternatives and similar repositories for CWR-GAN
Users that are interested in CWR-GAN are comparing it to the libraries listed below
Sorting:
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 2 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆76Updated 6 years ago
- ☆24Updated 6 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆61Updated 2 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 9 years ago
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆70Updated 4 years ago
- MisGAN: Learning from Incomplete Data with GANs☆80Updated 2 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…☆70Updated 6 years ago
- Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values☆119Updated 6 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆127Updated 5 years ago
- Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…☆24Updated 4 months ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆62Updated 8 years ago
- inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver☆118Updated 6 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- Learning kernels to maximize the power of MMD tests☆211Updated 7 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆139Updated 7 years ago
- PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"☆28Updated 6 years ago
- Active Learning on Image Data using Bayesian ConvNets☆139Updated 9 years ago
- ☆146Updated 8 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆58Updated 7 years ago
- ☆91Updated 2 years ago
- Joint distribution optimal transportation for domain adaptation☆102Updated 7 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- STCN: Stochastic Temporal Convolutional Networks☆69Updated 5 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf☆30Updated 5 years ago