KrisNguyen135 / bayesian-optimization-in-actionLinks
Source code for Bayesian Optimization in Action, published by Manning
☆105Updated 2 years ago
Alternatives and similar repositories for bayesian-optimization-in-action
Users that are interested in bayesian-optimization-in-action are comparing it to the libraries listed below
Sorting:
- Source Code for 'Bayesian Optimization' by Peng Liu☆30Updated 2 years ago
- Bayesian Optimization algorithms with various recent improvements☆100Updated 2 years ago
- Bayesian neural networks via MCMC: tutorial☆57Updated 9 months ago
- Multi-objective Bayesian optimization☆91Updated 2 years ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆107Updated 2 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 3 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆44Updated 3 years ago
- Reinforcement learning environments for process control applications.☆55Updated last month
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆13Updated last month
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆10Updated 3 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆58Updated 2 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆31Updated 4 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆53Updated last year
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆75Updated 2 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆12Updated 6 years ago
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆102Updated 5 years ago
- Python Library for Generalized Gaussian Process Modeling☆25Updated 4 months ago
- An Intuitive Tutorial to Gaussian Processes Regression☆631Updated last year
- Joint entropy search☆19Updated 2 years ago
- ☆29Updated 5 months ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆41Updated 4 years ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 2 years ago
- Learning Koopman operator by EDMD with trainable dictionary☆25Updated 3 years ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆28Updated 3 months ago
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆19Updated 3 weeks ago
- Multi-Output Gaussian Process Toolkit☆175Updated 2 months ago
- ☆12Updated 8 months ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆13Updated 5 months ago
- List of papers on robust Bayesian optimization☆17Updated 3 years ago
- a curated list of bayesian optimization tutorials, papers, softwares☆30Updated 4 years ago