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
- Relevance Vector Machine implementation using the scikit-learn API.☆238Updated 2 weeks ago
- Regularized kernel canonical correlation analysis in Python☆252Updated 4 years ago
- Kernel Methods Toolbox for Matlab/Octave☆52Updated 6 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- A Python convex optimization package using proximal splitting methods☆114Updated 2 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 10 years ago
- some tools for gaussian linear dynamical systems☆89Updated 7 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆60Updated 14 years ago
- Python toolbox for nonnegative matrix factorization☆115Updated 7 years ago
- Generalized Canonical Correlation Analysis☆51Updated 7 years ago
- Multi-task learning via Structural Regularization☆134Updated 4 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 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
- Keras for Science☆72Updated 7 years ago
- Kaggle competition winning submission for the UPenn and Mayo Clinic's Seizure Detection Challenge☆129Updated 7 years ago
- local non-uniformity correction for mutual information estimation☆70Updated 4 years ago
- A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python☆64Updated last year
- ☆74Updated 6 years ago
- Python implementation of elastic-net regularized generalized linear models☆284Updated 2 years ago
- Variational Bayes linear and logistic regression☆34Updated 6 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆93Updated 7 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 10 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- Online Robust Principal Component Analysis☆95Updated 5 years ago
- solution for the American Epilepsy Society Seizure Prediction Challenge☆73Updated 6 years ago
- Several implementations of the kernel-based activation functions☆62Updated 6 years ago