Alternatives and similar repositories for sgcrfpy:

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

• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 10 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated 10 months ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 9 years ago
• jakevdp / pypropack
  A python wrapper for the PROPACK library
  ☆51Updated 8 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 8 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆83Updated 3 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• binarybana / samcnet
  Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.
  ☆16Updated 10 years ago
• shunsukeaihara / pydtw
  Fast Imprementation of Dynamic Time Warping For Python
  ☆43Updated last year
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• BlueHephaestus / bbho
  Bayesian Black Box Hyper Parameter Optimizer
  ☆12Updated 7 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 4 years ago
• ASPP / ASPP-2018-dataviz
  Material for the Advanced Scientific Programming in Python course on data visualization
  ☆17Updated 6 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆23Updated 10 years ago
• gpapamak / epsilon_free_inference
  Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"
  ☆31Updated 5 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• jlowin / pyautodiff
  Automatic differentiation for NumPy
  ☆99Updated 9 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆48Updated last month
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago