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
☆80Updated 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:
- Multi-task learning via Structural Regularization☆134Updated 4 years ago
- Mutual Information functions for C and MATLAB☆143Updated 7 years ago
- Relevance Vector Machine implementation using the scikit-learn API.☆237Updated 2 months ago
- A Python convex optimization package using proximal splitting methods☆117Updated last month
- Variational Inference in Gaussian Mixture Model☆60Updated 5 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Regularized kernel canonical correlation analysis in Python☆257Updated 4 years ago
- Python toolbox for nonnegative matrix factorization☆115Updated 7 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆47Updated 8 years ago
- Kernel Methods Toolbox for Matlab/Octave☆52Updated 6 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- some tools for gaussian linear dynamical systems☆90Updated 7 years ago
- ☆89Updated 7 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- local non-uniformity correction for mutual information estimation☆71Updated 4 years ago
- ☆74Updated 6 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- Active learning toolbox for MATLAB☆46Updated 8 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆61Updated 14 years ago
- Yet ANother pattern recognition matlab toolbox☆36Updated 9 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 11 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆94Updated 7 years ago
- Library of transfer learners and domain-adaptive classifiers.☆93Updated 6 years ago
- A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.☆72Updated 2 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆200Updated 8 months ago
- Keras for Science☆72Updated 7 years ago