KrisNguyen135 / bayesian-optimization-in-action
Source code for Bayesian Optimization in Action, published by Manning
☆69Updated last year
Related projects: ⓘ
- Source Code for 'Bayesian Optimization' by Peng Liu☆24Updated last year
- Bayesian Optimization algorithms with various recent improvements☆92Updated last year
- Multi-objective Bayesian optimization☆81Updated last year
- code for BINOCULARS and Multi-Step BO☆11Updated 3 years ago
- A highly efficient and modular implementation of Gaussian Processes in PyTorch☆16Updated 4 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆27Updated 3 years ago
- ☆72Updated last year
- Risk-averse Heteroscedastic Bayesian Optimization, NeurIPS 2021☆13Updated 2 years ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆99Updated last year
- Joint entropy search☆18Updated last year
- Accompanying code for "State Estimation of a Physical System without Governing Equations"☆73Updated 2 months ago
- Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions☆24Updated 11 months ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆38Updated 3 years ago
- Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks☆28Updated last month
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆69Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆45Updated 4 months ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆74Updated last month
- Multi-Output Gaussian Process Toolkit☆161Updated 5 months ago
- a curated list of bayesian optimization tutorials, papers, softwares☆26Updated 3 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆48Updated 2 years ago
- Bayesian neural networks via MCMC: tutorial☆29Updated 6 months ago
- Equation Learner, a neural network approach to symbolic regression☆68Updated 3 years ago
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆14Updated 3 months ago
- 张量计算系列教程 (Tensor Computations Tutorials)☆93Updated 7 months ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆11Updated 5 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆52Updated last year
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆39Updated 3 months ago
- Kolmogorov-Arnold Networks in MATLAB☆31Updated 2 months ago
- ☆15Updated last year
- ☆12Updated 5 years ago