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
- ☆89Updated 7 years ago
- A Convolutional Neural Network based model for Unsupervised Learning☆33Updated 8 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆150Updated 7 years ago
- Online Sequential Extreme Learning Machine with TensorFlow☆33Updated 9 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
- Official Implementation of Interpretable Convolutional Neural Networks via Feedforward Design Arxiv: https://arxiv.org/abs/1810.02786☆12Updated 6 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- Multi channel deep convolutional neural network for time series classification☆55Updated 9 years ago
- Deep Embedding Clustering in Keras☆132Updated 8 years ago
- Autoencoders using Keras☆77Updated 8 years ago
- A try to autoencode an LSTM to do anomaly detection☆24Updated 10 years ago
- An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras☆41Updated 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
- Deep learning for time-series data☆50Updated 3 years ago
- Local Receptive Fields Based Extreme Learning Machine☆33Updated 10 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
- Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow☆55Updated 8 years ago
- Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras☆85Updated 8 years ago
- A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.☆298Updated last year
- Python code for Expectation-Maximization estimate of Gaussian mixture model☆75Updated 7 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆267Updated 6 years ago
- Implementation of Symmetric SNE and t-SNE in numpy and python☆75Updated 4 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆203Updated 11 months ago
- Simple TimeDistributed() wrapper Demo in Keras; sums images of MNIST digits☆60Updated 7 years ago
- Ensembling ConvNets using Keras☆75Updated 6 years ago
- Using Keras and cats to visualize layers from CNNs☆150Updated 9 years ago
- Self-Organizing Map for unsupervised feature engineering and dimensionality reduction☆21Updated 13 years ago