rmaestre / Mutual-InformationLinks
In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual dependence of the two random variables. This script performs MI over Mutual Information over discrete random variables
☆78Updated 13 years ago
Alternatives and similar repositories for Mutual-Information
Users that are interested in Mutual-Information are comparing it to the libraries listed below
Sorting:
- Mutual Information functions for C and MATLAB☆143Updated 7 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- Relevance Vector Machine implementation using the scikit-learn API.☆238Updated 8 years ago
- A Python convex optimization package using proximal splitting methods☆111Updated last year
- Regularized kernel canonical correlation analysis in Python☆251Updated 4 years ago
- Probabilistic Principal Component Analysis☆63Updated 8 years ago
- some tools for gaussian linear dynamical systems☆89Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 7 years ago
- Multi-task learning via Structural Regularization☆133Updated 4 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆60Updated 14 years ago
- Bayesian Networks in Python☆149Updated last year
- Worked examples about manifold learning using sklearn and jupyter☆51Updated 6 years ago
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Generalized Canonical Correlation Analysis☆51Updated 7 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- ☆74Updated 6 years ago
- Keras for Science☆72Updated 7 years ago
- Online Robust Principal Component Analysis☆95Updated 5 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆196Updated 5 months ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 7 years ago
- Bayesian nonparametric machine learning for Python☆224Updated last year
- Convolution dictionary learning for time-series☆131Updated 6 months ago
- ☆96Updated 7 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆147Updated 9 years ago
- Yet ANother pattern recognition matlab toolbox☆36Updated 9 years ago
- Python library for working with kernel methods in machine learning☆120Updated 6 years ago
- local non-uniformity correction for mutual information estimation☆70Updated 4 years ago