KamitaniLab / VBCCALinks
Variational Bayesian Canonical Correlation Analysis
☆30Updated 8 years ago
Alternatives and similar repositories for VBCCA
Users that are interested in VBCCA are comparing it to the libraries listed below
Sorting:
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆58Updated 11 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
- Variational Bayesian GP-LVM model in MATLAB.☆12Updated 10 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- Variational Bayes linear and logistic regression☆35Updated 6 years ago
- Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures☆47Updated 2 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
- Kernel Methods Toolbox for Matlab/Octave☆52Updated 6 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆55Updated 9 years ago
- introductory material☆18Updated 10 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- Python and Matlab code to estimate KL divergence and entropy of neural data distributions☆19Updated 12 years ago
- Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)☆19Updated last year
- Cortex - Deep learning tools for neuroimaging☆31Updated 8 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆232Updated 2 years ago
- code to compute the Dynamic Mode Decomposition (DMD), adapted for large-scale neural recordings☆27Updated 9 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆15Updated 7 years ago
- Introductory workshop to modeling and model fitting in psychophysics and neuroscience☆11Updated 6 years ago
- Benchmark of online PCA algorithms☆22Updated 7 years ago
- Fast software for high-dimensional cluster analysis using the masked EM algorithm for Gaussians mixtures☆31Updated 6 years ago
- Python package for Sparse Linear Regression (SLiR)☆21Updated 6 years ago
- Extracting neuronal functional network dynamics via adaptive Granger causality analysis☆18Updated 7 years ago
- This is the page for the book Digital Signal Processing with Kernel Methods.☆46Updated 8 years ago
- Python implementation of fast-oopsi, smc-oopsi, wiener, and discretize with binning☆15Updated 3 years ago
- My PhD Thesis☆22Updated 9 years ago
- Mutual Information functions for C and MATLAB☆144Updated 7 years ago
- Structured Machine Learning in Python☆46Updated 2 years ago
- Covariance toolbox for matlab, including riemannian geometry☆119Updated 9 years ago