An open API service providing repository metadata for many open source software ecosystems.

Topic: "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

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

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

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

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

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

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

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

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/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

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

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

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