htzheng / HapticVisualFCNLinks
The implementation of our TMM paper "Deep Learning for Surface Material Classification Using Haptic and Visual Information"
☆11Updated 8 years ago
Alternatives and similar repositories for HapticVisualFCN
Users that are interested in HapticVisualFCN are comparing it to the libraries listed below
Sorting:
- A MATLAB implementation of Auto-Encoding Variational Bayes☆48Updated 9 years ago
- A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.☆69Updated 7 years ago
- Stacked Denoising AutoEncoder based on TensorFlow☆23Updated 6 years ago
- A very simple convolutional autoencoder implemented in lasagne, applied to MNIST as an example☆20Updated 3 years ago
- Convolutional Variational Autoencoder☆34Updated 6 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- ☆89Updated 7 years ago
- This is a tutorial on creating a deep convolutional autoencoder with tensorflow.☆60Updated 8 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 9 years ago
- ☆34Updated 7 years ago
- This is an example of using Tensorflow to build Sparse Autoencoder for representation learning.☆23Updated 8 years ago
- Implementation of a convolutional auto-encoder in PyTorch☆20Updated 7 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- Code to reproduce results from the paper: "Compressed Sensing using Generative Models".☆221Updated 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 7 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs),…☆337Updated 7 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆93Updated 8 years ago
- Pytorch implementation of Autoencoding beyond Pixels Using a Learned Similarity Metric☆30Updated 8 years ago
- Reinforcement Learning for Spiking Neural Networks☆87Updated last year
- This is an implementation of Convolutional AutoEncoder using only TensorFlow☆122Updated 6 years ago
- Generative Adversarial Nets for Matlab☆36Updated 8 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆122Updated 7 years ago
- Stacked Denoising AutoEncoder☆80Updated 6 years ago
- Wasserstein GAN TensorFlow Implementation☆45Updated 6 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- research on convolutional neural networks in fourier space☆15Updated 9 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆61Updated 14 years ago
- DeepPINK: reproducible feature selection in deep neural networks☆22Updated last year