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
  ☆64Updated 6 years ago
• zhd96 / ds-hdp-hmm
  Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model
  ☆28Updated 4 years ago
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆64Updated last year
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆49Updated 3 years ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆137Updated 4 years ago
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆194Updated 2 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆233Updated 3 years ago
• jameshensman / pythonGPLVM
  Implementation of the GPLVM algorithm in python
  ☆44Updated 15 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆91Updated 3 years ago
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆22Updated 5 years ago
• TyXe-BDL / TyXe
  ☆151Updated 2 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆149Updated 6 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 6 years ago
• dfm / gp
  A tutorial about Gaussian process regression
  ☆186Updated 4 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• tonyduan / mixture-density-network
  Mixture density network implemented in PyTorch.
  ☆142Updated last year
• mattjj / pyslds
  ☆94Updated 6 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆63Updated 2 months ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆138Updated 7 years ago
• jmetzen / bayesian_optimization
  Bayesian optimization
  ☆37Updated 5 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆51Updated 3 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆64Updated 2 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆135Updated 6 years ago
• qu-gg / torch-neural-ssm
  Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
  ☆45Updated 3 months ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆15Updated 3 years ago
• rock-learning / bolero
  Behavior Optimization and Learning for Robots
  ☆65Updated last month
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated 8 months ago
• jwangjie / gpytorch
  A highly efficient and modular implementation of Gaussian Processes in PyTorch
  ☆16Updated 4 years ago
• e-hulten / maf
  PyTorch implementation of the Masked Autoregressive Flow
  ☆24Updated 4 years ago