Apress / Bayesian-optimizationLinks
Source Code for 'Bayesian Optimization' by Peng Liu
☆30Updated 2 years ago
Alternatives and similar repositories for Bayesian-optimization
Users that are interested in Bayesian-optimization are comparing it to the libraries listed below
Sorting:
- Source code for Bayesian Optimization in Action, published by Manning☆108Updated 2 years ago
- Bayesian neural networks via MCMC: tutorial☆60Updated last year
- Reinforcement learning environments for process control applications.☆71Updated 2 months ago
- An Intuitive Tutorial to Gaussian Processes Regression☆660Updated last year
- Bayesian Optimization algorithms with various recent improvements☆104Updated 2 years ago
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆104Updated 5 years ago
- A Python package to learn the Koopman operator.☆65Updated 3 weeks ago
- A general-purpose Python package for Koopman theory using deep learning.☆120Updated 3 months ago
- ☆14Updated last year
- Multi-Output Gaussian Process Toolkit☆183Updated 7 months ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆108Updated 2 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆51Updated 4 years ago
- Multi-objective Bayesian optimization☆95Updated 2 years ago
- ☆87Updated 2 years ago
- ☆89Updated 2 years ago
- Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions☆27Updated 5 months ago
- ☆34Updated 10 months ago
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆38Updated 2 years ago
- Learning Neural Differential Algebraic Equations via Operator Splitting☆21Updated 5 months ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆57Updated 3 years ago
- Data-driven dynamical systems toolbox.☆80Updated last week
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆38Updated 3 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Updated last month
- Python model for constrained GP☆26Updated 4 years ago
- Risk-averse Heteroscedastic Bayesian Optimization, NeurIPS 2021☆16Updated 4 years ago
- physics-guided neural networks (phygnn)☆102Updated 4 months ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Updated last year
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆160Updated 4 years ago
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆19Updated 6 months ago