Alternatives and similar repositories for IncSFA

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

• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 10 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• binarybana / samcnet
  Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.
  ☆16Updated 10 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 10 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 10 years ago
• RobRomijnders / VAE_rec
  Variational Recurrent Auto Encoder
  ☆15Updated 8 years ago
• stephantul / somber
  Recursive Self-Organizing Map/Neural Gas.
  ☆52Updated 2 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• wiskott-lab / sklearn-sfa
  This project provides Slow Feature Analysis as a scikit-learn-style package.
  ☆41Updated last year
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• MaxwellRebo / ittk
  Information Theory Toolkit
  ☆19Updated 6 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated last year
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 6 years ago
• sgubianpm / sdaopt
  Simulated Dual Annealing for python and benchmarks
  ☆15Updated 6 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 8 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆48Updated last year
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• jmetzen / bayesian_optimization
  Bayesian optimization
  ☆37Updated 5 years ago
• lmjohns3 / kohonen
  Kohonen vector quantizers (SOM, NG, GNG)
  ☆71Updated 7 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 7 years ago
• hyperopt / hyperopt-gpsmbo
  Gaussian Process optimization algorithm for Hyperopt
  ☆24Updated 11 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 5 years ago
• modusdatascience / choldate
  Somewhat fast updating and downdating of Cholesky factors in Python
  ☆33Updated last year
• mathDR / abocpd
  Python implementation of "Adaptive Sequential Bayesian Change Point Detection" algorithm (Turner, et.al)
  ☆22Updated 5 years ago
• JackKelly / bayesianchangepoint
  An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"
  ☆31Updated 10 years ago