Alternatives and similar repositories for gpytorch:

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

• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆62Updated 5 years ago
• Xiao-dong-Wang / Multifidelity-GP
  Multi-fidelity Gaussian Process
  ☆25Updated 4 years ago
• Magica-Chen / gptp_multi_output
  multivariate Gaussian process regression and multivariate Student-t process regression
  ☆72Updated 3 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆15Updated 3 years ago
• jejjohnson / uncertain_gps
  Exploring how to to deal with uncertain inputs with gaussian process regression models.
  ☆27Updated 3 years ago
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆29Updated 4 years ago
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆59Updated 8 years ago
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆72Updated 7 years ago
• ablancha / gpsearch
  Bayesian optimization and active learning with likelihood-weighted acquisition functions
  ☆16Updated 8 months ago
• XuhuiM / Multi-Fidelity-DNNs-PINNs
  ☆35Updated last year
• jwangjie / Gaussian-Process-Regression-Tutorial
  An Intuitive Tutorial to Gaussian Processes Regression
  ☆576Updated last year
• sjvrijn / mf2
  Collection of Multi-Fidelity benchmark functions
  ☆27Updated 6 months ago
• MLDS-NUS / KoopmanDL
  Learning Koopman operator by EDMD with trainable dictionary
  ☆22Updated 2 years ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆168Updated 10 months ago
• sethhirsh / BayesianSindy
  ☆13Updated 3 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆71Updated 2 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• rmojgani / LPINNs
  To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…
  ☆46Updated 2 years ago
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆41Updated 3 years ago
• FuhgJan / StateOfTheArtAdaptiveSampling
  ☆46Updated 3 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆48Updated 3 years ago
• ppgaluzio / MOBOpt
  Multi-objective Bayesian optimization
  ☆84Updated last year
• hvarfner / vanilla_bo_in_highdim
  ☆26Updated 2 months ago
• xdfeng7370 / Multi-fidelity-neural-network-
  ☆35Updated last year
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆46Updated 3 years ago
• haozhg / odmd
  AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
  ☆42Updated 2 years ago
• clegaard / deep_learning_for_dynamical_systems
  ☆83Updated 2 years ago
• sydney-machine-learning / Bayesianneuralnetworks-MCMC-tutorial
  Bayesian neural networks via MCMC: tutorial
  ☆46Updated 4 months ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆47Updated 4 years ago
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆94Updated 2 weeks ago