Alternatives and similar repositories for VBCCA

Users that are interested in VBCCA are comparing it to the libraries listed below

• kimjingu / nonnegfac-matlab
  Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations
  ☆58Updated 11 years ago
• lawrennd / vargplvm
  Variational Bayesian GP-LVM model in MATLAB.
  ☆12Updated 10 years ago
• ahwillia / tensor-demo
  A quickstart guide to tensor decomposition
  ☆72Updated 3 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 9 years ago
• steven2358 / kmbox
  Kernel Methods Toolbox for Matlab/Octave
  ☆52Updated 6 years ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆78Updated 8 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆45Updated 11 years ago
• acerbilab / vbmc
  Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
  ☆232Updated 2 years ago
• flatironinstitute / online_psp_matlab
  Benchmark of online PCA algorithms
  ☆22Updated 7 years ago
• open-connectome-classes / StatConn-Spring-2015-Info
  introductory material
  ☆18Updated 10 years ago
• acerbilab / bads
  Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
  ☆264Updated last month
• DrugowitschLab / VBLinLogit
  Variational Bayes linear and logistic regression
  ☆35Updated 6 years ago
• robince / partial-info-decomp
  Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures
  ☆47Updated 2 years ago
• brian-lau / highdim
  Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
  ☆19Updated last year
• FurongHuang / ConvDicLearnTensorFactor
  Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…
  ☆17Updated 9 years ago
• DSPKM / DSPKM
  This is the page for the book Digital Signal Processing with Kernel Methods.
  ☆46Updated 8 years ago
• alexandrebarachant / covariancetoolbox
  Covariance toolbox for matlab, including riemannian geometry
  ☆120Updated 9 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 4 years ago
• KamitaniLab / slir
  Python package for Sparse Linear Regression (SLiR)
  ☆21Updated 6 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆67Updated 8 years ago
• slinderman / pyhsmm_spiketrains
  Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.
  ☆15Updated 7 years ago
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆13Updated 6 years ago
• pberkes / neuro-kl
  Python and Matlab code to estimate KL divergence and entropy of neural data distributions
  ☆19Updated 12 years ago
• zayd / sparsenet
  Sparse dictionary learning
  ☆30Updated 11 years ago
• lorenzoriano / PyKCCA
  Python implementation of Kernel Canonical Correlation Analysis
  ☆49Updated 7 years ago
• bwbrunton / dmd-neuro
  code to compute the Dynamic Mode Decomposition (DMD), adapted for large-scale neural recordings
  ☆27Updated 9 years ago
• rdevon / cortex_old
  Cortex - Deep learning tools for neuroimaging
  ☆31Updated 8 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆55Updated 9 years ago
• andrewssobral / mtt
  MATLAB Tensor Tools
  ☆89Updated 2 months ago
• viggin / yan-prtools
  Yet ANother pattern recognition matlab toolbox
  ☆36Updated 9 years ago