ma921 / SOBER
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
☆26Updated 2 months ago
Alternatives and similar repositories for SOBER:
Users that are interested in SOBER are comparing it to the libraries listed below
- ☆26Updated 3 months ago
- Gaussian process augmented with a probabilistic model of expected system's behavior☆15Updated 3 years ago
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Updated last year
- SAASBO: a package for high-dimensional bayesian optimization☆43Updated 3 years ago
- ☆10Updated 2 years ago
- List of papers on robust Bayesian optimization☆17Updated 3 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆21Updated 2 years ago
- scalable multi-fidelity machine learning☆9Updated 3 years ago
- Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbal…☆16Updated last year
- Benchmarking☆28Updated 3 years ago
- Python Library for Generalized Gaussian Process Modeling☆24Updated last month
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆10Updated 2 years ago
- A software package for flexible HPC GPs☆16Updated last week
- Mixed Variable Multi-Objective Optimisation☆19Updated 3 years ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆15Updated 2 years ago
- Illustrating how to publish battery data☆13Updated 2 months ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆14Updated 2 years ago
- Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020)☆12Updated 2 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆12Updated 6 years ago
- Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.☆40Updated last month
- Materials for ACerS Automated Experiment Course☆20Updated last year
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- Workshop tutorials for Pyomo.DoE☆12Updated 3 weeks ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆30Updated 4 years ago
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Updated 3 years ago
- A demo code for implementation of differentiable thermodynamic modeling in JAX.☆10Updated 3 years ago
- Repository for the paper "Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature"☆12Updated last year
- Experimental design and Bayesian optimization library in Python/PyTorch☆51Updated 9 months ago
- Multiobjective black-box optimization using gradient-boosted trees☆58Updated 2 months ago
- Spring 2023 seminar on automated experiment☆23Updated last year