abyoussef / DRBM_ProjectLinks
Learning joint representation with a Multimodal Deep Boltzmann Machine
☆39Updated 8 years ago
Alternatives and similar repositories for DRBM_Project
Users that are interested in DRBM_Project are comparing it to the libraries listed below
Sorting:
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 7 years ago
- Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"☆294Updated 6 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- ☆200Updated 8 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆18Updated 8 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.☆249Updated 8 years ago
- Code for paper "How transferable are features in deep neural networks?"☆151Updated 6 years ago
- Chainer implementation of adversarial autoencoder (AAE)☆257Updated 7 years ago
- Theano-based implementation of Deep Semi-NMF.☆118Updated 9 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆33Updated 7 years ago
- Collection of autoencoders written in Keras☆37Updated 9 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 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
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- Implementation of a Variational Auto-Encoder in TensorFlow☆208Updated 8 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆60Updated 14 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆153Updated 2 years ago
- ☆52Updated 8 years ago
- I implement RBM, DBN, Multi-modal DBN with Python and the majority of matrix operations are executed on GPU. In this project I employ Cud…☆18Updated 10 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- A Python implementation of PCANet https://arxiv.org/abs/1404.3606☆150Updated 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
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Adversarial AutoEncoder implemented with MXNet☆25Updated 7 years ago
- Metric Learning with Graph Convolutional Neural Networks☆207Updated 6 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- ☆89Updated 7 years ago
- Active Learning on Image Data using Bayesian ConvNets☆139Updated 8 years ago
- Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.☆54Updated 11 years ago