Ktakuya332C / dbm
Simple implementation of Deep Boltzmann Machine
☆14Updated 6 years ago
Alternatives and similar repositories for dbm:
Users that are interested in dbm are comparing it to the libraries listed below
- ☆51Updated 7 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- Convolutional Deep Belief Networks with 'MATLAB','MEX','CUDA' versions☆35Updated 8 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆45Updated 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 9 years ago
- Convolutional Restricted Boltzmann Machine☆15Updated 7 years ago
- Generative Adversarial Nets for Matlab☆36Updated 8 years ago
- Restricted Boltzmann Machines (RBMs) in PyTorch☆161Updated 6 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- Learning joint representation with a Multimodal Deep Boltzmann Machine☆39Updated 8 years ago
- ☆40Updated 8 years ago
- Convolutional Deep Belief Network (Honglak Lee's ICML paper)☆23Updated 8 years ago
- RBM in Pytorch☆59Updated 7 years ago
- Convolutional Variational Autoencoder☆34Updated 5 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- Adversarial AutoEncoder implemented with MXNet☆25Updated 6 years ago
- Matlab Environment for Deep Architecture Learning☆109Updated 11 years ago
- Training of Neural Network using Particle Swarm Optimization☆29Updated 6 years ago
- A simple image classification pipeline using KNN, Softmax and SVM☆12Updated 10 years ago
- Sparse Autoencoders using FashionMNIST dataset☆35Updated 6 years ago
- ☆89Updated 6 years ago
- conditional generative adversarial network☆16Updated 8 years ago
- This is an implementation of Convolutional AutoEncoder using only TensorFlow☆119Updated 5 years ago
- Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…☆17Updated 8 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆147Updated 9 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆189Updated 9 years ago
- An implementation of SVM+☆26Updated 8 years ago
- This is a tutorial on creating a deep convolutional autoencoder with tensorflow.☆59Updated 7 years ago