wenli-vision / svmplus_matlabLinks
An implementation of SVM+
☆26Updated 8 years ago
Alternatives and similar repositories for svmplus_matlab
Users that are interested in svmplus_matlab are comparing it to the libraries listed below
Sorting:
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- Robust PCA in Python☆36Updated 12 years ago
- ☆34Updated 8 years ago
- Self-Organizing Map for unsupervised feature engineering and dimensionality reduction☆21Updated 12 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 8 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Soft Decision Trees (code for ICPR 21 paper)☆33Updated 11 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆191Updated 10 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 7 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
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆35Updated 8 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- A Library for Ensemble Learning Using Support Vector Machines☆106Updated 11 years ago
- A collection of MATLAB data sets used by PMTK.☆56Updated 11 years ago
- ☆39Updated 12 years ago
- Metric Learning to Rank☆46Updated 12 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- Reliability diagrams, Platt's scaling, isotonic regression☆76Updated 11 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- Torch package for metric learning.☆43Updated 8 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 11 years ago