Alternatives and similar repositories for gmr

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

• BatyaGG / Gaussian-Mixture-Models
  Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy
  ☆72Updated 6 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆69Updated 3 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆48Updated 4 years ago
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆24Updated 5 years ago
• jmetzen / bayesian_optimization
  Bayesian optimization
  ☆38Updated 6 years ago
• tonyduan / mixture-density-network
  Mixture density network implemented in PyTorch.
  ☆152Updated 2 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆16Updated 4 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆54Updated 4 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆99Updated 3 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆37Updated 2 years ago
• jameshensman / pythonGPLVM
  Implementation of the GPLVM algorithm in python
  ☆44Updated 16 years ago
• befelix / SafeOpt
  Safe Bayesian Optimization
  ☆150Updated 3 years ago
• epfl-lasa / ML_toolbox
  A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along…
  ☆102Updated 5 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆64Updated 4 years ago
• NoemieJaquier / MaternGaBO
  This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…
  ☆21Updated 2 years ago
• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆86Updated 2 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆236Updated 4 years ago
• cagrell / gp_constr
  Python model for constrained GP
  ☆26Updated 4 years ago
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆31Updated 2 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆54Updated 5 years ago
• rock-learning / bolero
  Behavior Optimization and Learning for Robots
  ☆67Updated 10 months ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆56Updated 7 years ago
• osqp / osqp-python
  Python interface for OSQP
  ☆124Updated 2 weeks ago
• sorooshafiee / WKF
  ☆16Updated 7 years ago
• epfl-lasa / changepoint-detection
  Online Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.
  ☆48Updated 8 years ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated last year
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆142Updated 8 years ago
• chariff / GPro
  Python package for Preference Learning with Gaussian Processes.
  ☆34Updated 3 months 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