Alternatives and similar repositories for Gaussian-Processes

Users that are interested in Gaussian-Processes are comparing it to the libraries listed below

• wjmaddox / online_vargp
  Online variational GPs
  ☆37Updated 2 years ago
• BayesianRL / PML2024
  Materials related to the 2024-2025 mini course on Probabilistic Models and Bayesian Methods at the Faculty of Finance at Kharazmi Univers…
  ☆26Updated 7 months ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆64Updated 4 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆99Updated 4 years ago
• phuijse / BLNNbook
  Bayesian Learning and Neural Networks (jupyter book sources)
  ☆57Updated 2 years ago
• qu-gg / torch-neural-ssm
  Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
  ☆56Updated last year
• brendanhasz / svi-gaussian-mixture-model
  Notebook fitting a Bayesian Gaussian mixture model via stochastic variational inference w/ TensorFlow 2.0
  ☆14Updated 6 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆32Updated 2 years ago
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆31Updated 2 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 3 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆65Updated last week
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆69Updated 3 years ago
• LearningByDoingCompetition / learningbydoing-comp
  LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results
  ☆20Updated 3 years ago
• Nikunj-Gupta / conformal-agent-modelling
  CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
  ☆15Updated last year
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 3 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 3 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆54Updated 4 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 9 years ago
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆52Updated 5 years ago
• sorooshafiee / WKF
  ☆16Updated 7 years ago
• DS-4-DS / DS4DS_Course
  Data Science for Dynamical System Course
  ☆146Updated last month
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆60Updated last year
• plugyawn / gp-zoo
  A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…
  ☆14Updated 3 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆56Updated last year
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆44Updated last year
• clegaard / deep_learning_for_dynamical_systems
  ☆89Updated 2 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 4 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 3 years ago
• muandet-lab / ipml-course
  A course on imprecise probabilistic machine learning
  ☆114Updated this week
• AlexanderFabisch / gmr
  Gaussian Mixture Regression
  ☆199Updated last week