stober / pca
Principle Component Analysis in Python
☆42Updated 12 years ago
Alternatives and similar repositories for pca:
Users that are interested in pca are comparing it to the libraries listed below
- A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.☆186Updated 11 years ago
- Matlab codes for 2D Convolutional Neural Network☆48Updated 9 years ago
- A Library for Ensemble Learning Using Support Vector Machines☆106Updated 10 years ago
- Pattern Recognition Toolbox for MATLAB☆146Updated 5 years ago
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 9 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- An implementation of SVM+☆26Updated 8 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Updated 9 years ago
- Matlab GPU Accelerated Deep Learning Toolbox☆70Updated 8 years ago
- A simple interface to allow Python to call MATLAB functions.☆95Updated 8 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
- Self-Organizing Map for unsupervised feature engineering and dimensionality reduction☆21Updated 12 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 4 years ago
- A simple image classification pipeline using KNN, Softmax and SVM☆12Updated 10 years ago
- A lightweight MATLAB deeplearning toolbox,based on gpuArray.☆54Updated 7 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆73Updated 13 years ago
- ☆76Updated 7 years ago
- Boosting and ensemble learning in Python.☆54Updated 9 years ago
- Python implementation of CART regression tree and random forests☆44Updated 10 years ago
- Code for Deep Learning class at Google☆73Updated 13 years ago
- Matrix completion and decomposition algorithm☆26Updated 11 years ago
- Vectorized multimodal LSTM using Matlab and GPU☆32Updated 8 years ago
- Yet ANother pattern recognition matlab toolbox☆36Updated 8 years ago
- GPU accelerated Deep Belief Network☆46Updated 9 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
- Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwr…☆36Updated 10 years ago
- A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.☆72Updated 2 years ago