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
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated 5 months ago
• ffx-org / ffx
  Fast Function Extraction
  ☆86Updated 5 months ago
• lmjohns3 / kohonen
  Kohonen vector quantizers (SOM, NG, GNG)
  ☆71Updated 7 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆34Updated 10 years ago
• hyperopt / hyperopt-gpsmbo
  Gaussian Process optimization algorithm for Hyperopt
  ☆24Updated 11 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 3 years ago
• thunder-project / thunder-regression
  algorithms for mass univariate regression
  ☆13Updated 7 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆34Updated 10 years ago
• MaxwellRebo / ittk
  Information Theory Toolkit
  ☆19Updated 7 years ago
• aatapa / RLScore
  ☆68Updated this week
• danieljtait / ladax
  Layered distributions using FLAX/JAX
  ☆10Updated 5 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 6 years ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 6 years ago
• coreylynch / sklearn-transform
  Collection of scripts for doing common transformations in machine learning
  ☆21Updated 13 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• mattjj / pyhsmm-factorial
  ☆18Updated 12 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 5 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆67Updated 8 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 5 years ago
• andymiller / pydtw
  A python/numpy/cython implementation of dynamic time warping (DTW) for aligning time series.
  ☆26Updated 6 years ago
• wildtreetech / bayesian-optimisation
  Finding the best parameters for any algorithm
  ☆42Updated 8 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• yaringal / VSSGP
  Variational Sparse Spectrum Gaussian Process toolkit
  ☆22Updated 10 years ago
• cvxgrp / cvxflow
  ☆67Updated 7 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 4 years ago