siddharth-agrawal / Stacked-AutoencoderLinks
☆34Updated 7 years ago
Alternatives and similar repositories for Stacked-Autoencoder
Users that are interested in Stacked-Autoencoder are comparing it to the libraries listed below
Sorting:
- Stacked Denoising AutoEncoder based on TensorFlow☆23Updated 6 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆61Updated 14 years ago
- Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…☆36Updated 9 years ago
- Autoencoders using Keras☆77Updated 7 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- Deep Embedding Clustering in Keras☆132Updated 8 years ago
- RBF Network using Theano, climin, and sklearn.☆23Updated 12 years ago
- ☆74Updated 6 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆150Updated 7 years ago
- TensorFlow code for the paper Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data (https://arxiv.org/abs/16…☆30Updated 8 years ago
- A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.☆69Updated 6 years ago
- With reconstruct, capsule representation, adversarial experiments. Implementation of NIPS2017 paper "Dynamic Routing Between Capsules" in…☆75Updated 7 years ago
- Recurrent Convolutional Neural Networks in Keras☆50Updated 7 years ago
- Implementation of Symmetric SNE and t-SNE in numpy and python☆75Updated 4 years ago
- Using Keras and cats to visualize layers from CNNs☆150Updated 8 years ago
- A Convolutional Neural Network based model for Unsupervised Learning☆33Updated 8 years ago
- Deep learning for time-series data☆49Updated 2 years ago
- One-Class SVM implementations for temporal segmentation of human activities☆54Updated 11 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
- ☆89Updated 7 years ago
- The sample code to study non-negative matrix and tensor factorization.☆38Updated 5 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆144Updated 2 years ago
- Active learning toolbox for MATLAB☆46Updated 8 years ago
- Multi channel deep convolutional neural network for time series classification☆55Updated 9 years ago
- Dimensionality reduction☆28Updated 8 years ago
- Matlab Environment for Deep Architecture Learning☆109Updated 11 years ago
- Local Receptive Fields Based Extreme Learning Machine☆33Updated 9 years ago
- An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras☆41Updated 7 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 12 years ago
- research on convolutional neural networks in fourier space☆15Updated 8 years ago