abyoussef / DRBM_Project
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
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- Multi-view Learning with Vector-valued RKHS - ICML 2013☆17Updated 10 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 6 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 9 years ago
- ☆51Updated 7 years ago
- Deep CCA (DCCA) network☆15Updated 8 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆162Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- Deep Canonical Correlation Analysis (DCCA) implementation using Theano☆24Updated 8 years ago
- Tensorflow implementation of Adversarial Autoencoders (with extra option to decorrelate style and classes)☆31Updated 7 years ago
- Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…☆72Updated 6 years ago
- Fully-connected winner-take-all autoencoder implemented in TensorFlow.☆23Updated 7 years ago
- mostly changes in RBM code. including PCD☆33Updated 10 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆18Updated 7 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆37Updated 4 years ago
- Collection of autoencoders written in Keras☆37Updated 8 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated 7 months ago
- ☆89Updated 6 years ago
- Code for "Unifying distillation and privileged information" (ICLR 2016).☆48Updated 8 years ago
- Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.☆52Updated 10 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆117Updated 7 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- This is a caffe implementation to visualize the learnt model☆60Updated 3 years ago
- Theano-based implementation of Deep Semi-NMF.☆112Updated 9 years ago
- Python implementation of Robust Continuous Clustering☆104Updated 5 years ago
- Metric Learning with Graph Convolutional Neural Networks☆205Updated 6 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- A MATLAB / MEX / CUDA-MEX implementation of Convolutional Restricted Boltzmann Machines.☆26Updated 4 years ago