natashamjaques / MultimodalAutoencoderLinks
Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction"
☆70Updated 6 years ago
Alternatives and similar repositories for MultimodalAutoencoder
Users that are interested in MultimodalAutoencoder are comparing it to the libraries listed below
Sorting:
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchic…☆132Updated 3 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.☆248Updated 8 years ago
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆23Updated 7 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- PyTorch implementation of VIGAN☆40Updated 8 years ago
- Targeting EEG/LFP synchrony with neural nets☆17Updated 6 years ago
- Canonical Correlation Analysis, Variational CCA☆25Updated 7 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆127Updated 5 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 2 years ago
- STCN: Stochastic Temporal Convolutional Networks☆69Updated 5 years ago
- Theano-based implementation of Deep Semi-NMF.☆120Updated 10 years ago
- ☆98Updated 6 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆47Updated 9 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- ☆165Updated 8 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Updated 3 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆60Updated 2 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Deep Transfer Learning Papers☆81Updated 3 years ago
- ☆24Updated 6 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 8 years ago
- This repository has implementation and tutorial for Deep Belief Network☆101Updated 7 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
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆26Updated 7 years ago
- Tensorflow 2.0 implementation of Adversarial Autoencoders☆20Updated 6 years ago
- Semi-supervised Multi-view Variational Autoencoder (semiMVAE)☆11Updated 8 years ago