ma921 / SOBERLinks
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
☆26Updated last month
Alternatives and similar repositories for SOBER
Users that are interested in SOBER are comparing it to the libraries listed below
Sorting:
- Benchmarking☆29Updated 3 years ago
- Gaussian process augmented with a probabilistic model of expected system's behavior☆15Updated 3 years ago
- Python Library for Generalized Gaussian Process Modeling☆24Updated 2 months ago
- SAASBO: a package for high-dimensional bayesian optimization☆43Updated 3 years ago
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Updated last year
- ☆26Updated 5 months ago
- Heteroscedastic Bayesian Optimisation in Numpy☆21Updated 2 years ago
- Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbal…☆17Updated last year
- Illustrating how to publish battery data☆13Updated 3 weeks ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 2 years ago
- Repository for the paper "Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature"☆12Updated last year
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Updated 3 years ago
- ☆10Updated 2 years ago
- Package for the early-stage analysis and lifecycle monitoring of battery degradation☆21Updated last year
- Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.☆40Updated 3 months ago
- Python code for the paper Bayesian Optimization of Nanoporous Materials.☆24Updated 2 years ago
- List of papers on robust Bayesian optimization☆17Updated 3 years ago
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆32Updated 3 years ago
- Bayesian Optimization with multiple tiers of objectives, which can flexibly depend on model inputs and outputs☆10Updated last month
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆10Updated 3 years ago
- scalable multi-fidelity machine learning☆9Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆30Updated 4 years ago
- Spring 2023 seminar on automated experiment☆23Updated 2 years ago
- Materials for ACerS Automated Experiment Course☆20Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆51Updated last year
- Uncertainty Quantification for Materials Property Prediction: a Benchmark Study☆15Updated 10 months ago
- The summer training course on the Bayesian Optimization☆27Updated last year
- The materials for the Spring Mathematics in Materials course at the UTK MSE☆49Updated last year
- These are the slides associated with the GNN tutorial at the APS March Meeting☆21Updated 2 years ago
- Mixed Variable Multi-Objective Optimisation☆19Updated 3 years ago