ramarlina / somLinks
Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
☆21Updated 12 years ago
Alternatives and similar repositories for som
Users that are interested in som are comparing it to the libraries listed below
Sorting:
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆60Updated 14 years ago
- A Library for Ensemble Learning Using Support Vector Machines☆106Updated 11 years ago
- Local Receptive Fields Based Extreme Learning Machine☆31Updated 9 years ago
- Cost-Sensitive Support Vector Machines☆33Updated 9 years ago
- Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.☆14Updated 9 years ago
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- ☆89Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 7 years ago
- GPU accelerated Deep Belief Network☆46Updated 10 years ago
- ☆74Updated 6 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- An implementation of SVM+☆26Updated 8 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- modular implementation of new algorithm☆13Updated 11 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
- Unsupervised feature learning based on sparse-filtering☆55Updated 10 years ago
- ☆34Updated 8 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow☆55Updated 7 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆148Updated 9 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 7 years ago
- Online Multi-Class LPBoost and Gradient Boosting☆68Updated 10 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 9 years ago