Alternatives and similar repositories for GNUPFA

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

• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 3 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• chrisdxie / in-depth-VI-tutorial
  ☆11Updated 8 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 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
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 6 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• alshedivat / DeterminantalPointProcesses.jl
  Determinantal Point Processes in Julia
  ☆12Updated 5 years ago
• stephantul / somber
  Recursive Self-Organizing Map/Neural Gas.
  ☆52Updated 2 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 10 years ago
• twgr / ccfs
  Canonical Correlation Forests
  ☆20Updated 6 years ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• jakevdp / pypropack
  A python wrapper for the PROPACK library
  ☆51Updated 8 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆24Updated 10 years ago
• duvenaud / warped-mixtures
  Code for density estimation with nonparametric cluster shapes.
  ☆39Updated 8 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated 3 months ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 10 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 6 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• achab / nphc
  NPHC
  ☆17Updated 4 years ago
• shunsukeaihara / pydtw
  Fast Imprementation of Dynamic Time Warping For Python
  ☆44Updated 2 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆33Updated 5 years ago
• yaringal / VSSGP
  Variational Sparse Spectrum Gaussian Process toolkit
  ☆22Updated 10 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆111Updated last year