mattjj / pyhsmm-factorial

Related projects ⓘ

Alternatives and complementary repositories for pyhsmm-factorial

• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆21Updated 9 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆42Updated 3 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 8 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 6 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated last year
• thunder-project / thunder-regression
  algorithms for mass univariate regression
  ☆12Updated 6 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 9 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• openml / Study-14
  ☆12Updated 2 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated 7 months ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 9 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• sgubianpm / sdaopt
  Simulated Dual Annealing for python and benchmarks
  ☆15Updated 5 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 9 years ago
• iskandr / knnimpute
  Python implementations of kNN imputation
  ☆31Updated 7 years ago
• EvoML / evolved-forests
  Using GP and metafeatures to grow better forests for prediction.
  ☆10Updated 8 years ago
• jmwoloso / avalearn
  a supplemental library for machine learning that incorporates various conveniences and functionalities either missing or not presently co…
  ☆9Updated 7 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆43Updated 4 years ago
• christophM / overview-ctrees
  Conditional trees
  ☆12Updated 11 years ago
• stokasto / sgmcmc
  Stochastic Gradient MCMC algorithms implemented in theano (and autograd)
  ☆9Updated 7 years ago
• ska-sa / scikits.fitting
  ☆14Updated last year
• dicai / bayesCPD
  changepoint detection for Bayesian models
  ☆20Updated 10 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 4 years ago
• ajmazurie / xstats.MINE
  Python wrapper for the Java-based Maximal Information-based Nonparametric Exploration (MINE) statistics library
  ☆19Updated 12 years ago