GitHub topics: acquisition-functions
wangronin/Bayesian-Optimization
Bayesian Optimization algorithms with various recent improvements
Language: Python - Size: 5.51 MB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 99 - Forks: 16

parallelUQ/PUQ
Python package for generating experimental designs tailored for uncertainty quantification and featuring parallel implementations
Language: Python - Size: 1.83 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 1

georgedeath/egreedy
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation
Language: C++ - Size: 259 MB - Last synced at: over 1 year ago - Pushed at: about 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: about 1 year ago - Pushed at: almost 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: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 16 - Forks: 2

georgedeath/eshotgun
ϵ-shotgun: ϵ-greedy Batch Bayesian Optimisation
Language: C++ - Size: 394 MB - Last synced at: over 1 year ago - Pushed at: over 4 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: about 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: over 4 years ago - Stars: 8 - Forks: 6

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: over 2 years ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 2

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: almost 2 years ago - Pushed at: over 4 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: almost 2 years ago - Pushed at: about 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: almost 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: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
