rmaestre / Mutual-Information
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
☆76Updated 12 years ago
Related projects ⓘ
Alternatives and complementary repositories for Mutual-Information
- Mutual Information functions for C and MATLAB☆141Updated 6 years ago
- some tools for gaussian linear dynamical systems☆84Updated 6 years ago
- ☆90Updated 6 years ago
- A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.☆69Updated last year
- Implementation of learning a Gaussian mixture model using tensor decomposition.☆16Updated 7 years ago
- local non-uniformity correction for mutual information estimation☆69Updated 3 years ago
- A quickstart guide to tensor decomposition☆69Updated 2 years ago
- Variational Bayes linear and logistic regression☆34Updated 5 years ago
- Generalized Canonical Correlation Analysis☆49Updated 7 years ago
- Kernel Methods Toolbox for Matlab/Octave☆52Updated 5 years ago
- EasyMKL☆16Updated 6 years ago
- Variational Inference in Gaussian Mixture Model☆58Updated 4 years ago
- Bayesian Gaussian mixture models in Python.☆62Updated last year
- Convolution dictionary learning for time-series☆121Updated 3 weeks ago
- Multi-task learning via Structural Regularization☆133Updated 3 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Deep Markov Models☆129Updated 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
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆105Updated 11 years ago
- A Python Multiple kernel learning library.☆58Updated 5 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆77Updated 6 years ago
- Yet ANother pattern recognition matlab toolbox☆36Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 10 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Preconditioned ICA for Real Data☆107Updated 11 months ago
- Structured Machine Learning in Python☆45Updated last year
- Regularized kernel canonical correlation analysis in Python☆242Updated 3 years ago
- A Python convex optimization package using proximal splitting methods☆110Updated last year
- ☆39Updated 5 years ago
- Tensor Train Rank-1 decomposition☆19Updated 5 years ago