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
  ☆65Updated 6 years ago
• jameshensman / pythonGPLVM
  Implementation of the GPLVM algorithm in python
  ☆44Updated 15 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆15Updated 3 years ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆137Updated 4 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆52Updated 3 years ago
• epfl-lasa / ML_toolbox
  A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along…
  ☆100Updated 5 years ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆26Updated 6 years ago
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆23Updated 5 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆49Updated 4 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆56Updated 5 months ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆65Updated 2 years ago
• jmetzen / bayesian_optimization
  Bayesian optimization
  ☆37Updated 5 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆52Updated 5 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆91Updated 3 years ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆29Updated 3 months ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆174Updated last year
• sorooshafiee / WKF
  ☆15Updated 6 years ago
• bemporad / jax-sysid
  A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax
  ☆32Updated last month
• grasool / Gaussian-Processes
  Introduction to Gaussian Processes
  ☆29Updated 6 years ago
• cagrell / gp_constr
  Python model for constrained GP
  ☆24Updated 4 years ago
• osqp / cuosqp
  Python interface for CUDA implementation of OSQP
  ☆93Updated 3 years ago
• osqp / osqp-python
  Python interface for OSQP
  ☆114Updated last week
• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆51Updated 9 years ago
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆100Updated 3 months ago
• stephane-caron / pypoman
  Python module for polyhedral geometry
  ☆74Updated last month
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆62Updated 4 years ago
• nbfigueroa / ds-opt
  Toolbox including several techniques for estimation of Globally Asymptotically Stable Dynamical Systems from demonstrations. It focuses o…
  ☆32Updated 2 years ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆74Updated this week
• lubaroli / dust
  This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.
  ☆24Updated 3 years ago