Alternatives and similar repositories for pythonGPLVM

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

• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆151Updated 6 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆236Updated 4 years ago
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆25Updated 10 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆54Updated 5 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• dilinwang820 / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆409Updated last year
• locuslab / icnn
  Input Convex Neural Networks
  ☆303Updated 6 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆92Updated 4 years ago
• zhenwendai / RGP
  Python library for Recurrent Gaussian Processes
  ☆21Updated 8 years ago
• thangbui / deepGP_approxEP
  see https://github.com/thangbui/geepee for a faster implementation
  ☆37Updated 8 years ago
• kasparmartens / NeuralProcesses
  Neural Processes implementation for 1D regression
  ☆64Updated 6 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆76Updated 8 years ago
• clinicalml / structuredinference
  Structured Inference Networks for Nonlinear State Space Models
  ☆275Updated 8 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• walidk / AcceleratedMirrorDescent
  ☆12Updated 9 years ago
• duvenaud / phd-thesis
  I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth
  ☆188Updated 11 years ago
• siemens / policy_search_bb-alpha
  ☆69Updated 7 years ago
• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆52Updated 9 years ago
• gianlucadetommaso / Stein-variational-samplers
  Python and MATLAB code for Stein Variational sampling methods
  ☆26Updated 6 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆142Updated 8 years ago
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆31Updated 2 years ago
• mattjj / pyslds
  ☆98Updated 7 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆68Updated 3 years ago
• jmetzen / bayesian_optimization
  Bayesian optimization
  ☆38Updated 5 years ago
• aboustati / dgplib
  Library for Deep Gaussian Processes based on GPflow
  ☆19Updated 5 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆56Updated 7 years ago
• yaringal / HeteroscedasticDropoutUncertainty
  Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.
  ☆141Updated 9 years ago
• markvdw / convgp
  Convolutional Gaussian processes based on GPflow.
  ☆95Updated 8 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆250Updated last year
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆34Updated 8 years ago