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
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆62Updated 8 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆48Updated 4 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…
  ☆47Updated 2 years ago
• Xiao-dong-Wang / Multifidelity-GP
  Multi-fidelity Gaussian Process
  ☆25Updated 4 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆15Updated 3 years ago
• ablancha / gpsearch
  Bayesian optimization and active learning with likelihood-weighted acquisition functions
  ☆16Updated 9 months ago
• ShuaiGuo16 / Surrogate_Optimization
  A step-by-step guide for surrogate optimization using Gaussian Process surrogate model
  ☆31Updated 4 years ago
• clegaard / deep_learning_for_dynamical_systems
  ☆86Updated 2 years ago
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆29Updated 4 years ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆47Updated 3 years ago
• thw1021 / Cylinder2DFlowControlGeneral
  Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning
  ☆31Updated 4 years ago
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆72Updated 7 years ago
• XuhuiM / Multi-Fidelity-DNNs-PINNs
  ☆36Updated last year
• yuan-yin / APHYNITY
  Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
  ☆45Updated last year
• jwangjie / Gaussian-Process-Regression-Tutorial
  An Intuitive Tutorial to Gaussian Processes Regression
  ☆588Updated last year
• sydney-machine-learning / Bayesianneuralnetworks-MCMC-tutorial
  Bayesian neural networks via MCMC: tutorial
  ☆51Updated 5 months ago
• fsahli / MFclass
  Multi-fidelity classification with Gaussian process
  ☆15Updated last year
• LionelAgo / Vortex_AE
  Exploit Auto-encoder for exploring and predict flow dynamic
  ☆10Updated 5 years ago
• opaliss / dmd_autoencoder
  Enhancing Dynamic Mode Decomposition using Autoencoder Networks.
  ☆29Updated 4 years ago
• xdfeng7370 / Multi-fidelity-neural-network-
  ☆37Updated last year
• Jianxun-Wang / PIMBRL
  Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
  ☆53Updated 2 years ago
• sisl / deep_flow_control
  Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018
  ☆46Updated 6 years ago
• PULSE-ML / MOMFBO-Algorithm
  A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.
  ☆10Updated 2 years ago
• arvindmohan / LSTM_ROM_Arxiv
  A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269
  ☆42Updated 6 years ago
• gg2uah / hands-on-pinns
  A Hands-on Introduction to Physics-Informed Neural Networks
  ☆18Updated this week
• cics-nd / cnn-surrogate
  Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
  ☆106Updated 4 years ago
• dynamicslab / hydrogym
  An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
  ☆67Updated this week
• ZhaoChenCivilSciML / EQDiscovery-1
  Physics-informed learning of governing equations from scarce data
  ☆11Updated 4 years ago
• kfukami / Voronoi-CNN
  Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 202…
  ☆47Updated last year