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GitHub topics: acquisition-functions

parallelUQ/PUQ

Python package for generating experimental designs tailored for uncertainty quantification and featuring parallel implementations

Language: Python - Size: 7.64 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 2

DavidLindahl/bayesopt-playground Fork of Badecar/bayesian-optimization

Comparing acquisition functions in Bayesian Optimization. Implementations, visual comparisons, and analysis of different acquisition strategies.

Language: Python - Size: 21.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

wangronin/Bayesian-Optimization

Bayesian Optimization algorithms with various recent improvements

Language: Python - Size: 5.51 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 100 - Forks: 16

HuabingWang-stack/PI_EI_Under_Gaussian_Noise_Assumption

Bayesian Optimisation acquisition functions PI and EI modified under guassian noise assuption at observations

Language: Jupyter Notebook - Size: 133 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

boschresearch/NoisyInputEntropySearch 📦

This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020

Language: Python - Size: 41 KB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 11 - Forks: 3

georgedeath/egreedy

Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation

Language: C++ - Size: 259 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1

carlosgorlongaiatto/ITI_Project

Bayesian Optimization using Gaussian Process: Implementation from Scratch.

Language: Jupyter Notebook - Size: 7.64 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 4

nphdang/Bandit-BO

Bayesian Optimization for Categorical and Continuous Inputs

Language: Python - Size: 188 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 16 - Forks: 2

georgedeath/eshotgun

ϵ-shotgun: ϵ-greedy Batch Bayesian Optimisation

Language: C++ - Size: 394 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 3

mourga/contrastive-active-learning

Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"

Language: Python - Size: 27.7 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 66 - Forks: 9

gauthamkrishna-g/ActiveHARNet

ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition

Language: Jupyter Notebook - Size: 116 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 6

nphdang/turbo_bbo_neurips_2020

An improved version of Turbo algorithm for the Black-box optimization competition organized by NeurIPS 2020

Language: Python - Size: 110 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 0

pouyaardehkhani/ParameterOptimization

In this project, we focus on different ways to optimize a machine learning model parameters.

Language: Jupyter Notebook - Size: 33.6 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

georgedeath/how-bayesian-should-BO-be

How Bayesian should Bayesian Optimisation be?

Language: Jupyter Notebook - Size: 437 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

hallamlab/leADS

leADS: improved metabolic pathway inference based on active dataset subsampling

Language: Python - Size: 5.45 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1