acquisition-functions

There are 0 repository under acquisition-functions topic.

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"
acquisition-functions active-learning deep-learning natural-language-processing
Language:Python 128
wangronin / Bayesian-Optimization
Bayesian Optimization algorithms with various recent improvements
optimization bayesian-optimization acquisition-functions
Language:Python 101
nphdang / Bandit-BO
Bayesian Optimization for Categorical and Continuous Inputs
bayesian-optimization categorical-variables continuous-variable thompson-sampling gaussian-processes automated-machine-learning hyperparameter-optimization batch-bayesian-optimization acquisition-functions multi-armed-bandits machine-learning hyperparameter-tuning gpyopt hyperopt smac automl optimization
Language:Python 21
gauthamkrishna-g / ActiveHARNet
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition
incremental-learning human-activity-recognition bayesian-active-learning bayesian-deep-learning fall-detection bayesian-neural-networks har acquisition-functions
Language:Jupyter Notebook 12
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
bcai acquisition-functions entropy-search paper-resource
Language:Python 11
georgedeath / egreedy
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation
acquisition-functions bayesian-optimization epsilon-greedy optimization
Language:C++ 10
nphdang / turbo_bbo_neurips_2020
An improved version of Turbo algorithm for the Black-box optimization competition organized by NeurIPS 2020
bayesian-optimization thompson-sampling gaussian-processes automated-machine-learning hyperparameter-optimization batch-bayesian-optimization decay acquisition-functions multi-armed-bandits machine-learning hyperparameter-tuning classification turbo
Language:Python 9
jmaberk / BO_with_E3I
This code runs Bayesian optimization with the exploration enhanced expected improvement (E3I) acquisition function
acquisition-functions bayesian-optimization
Language:Python 6
georgedeath / eshotgun
ϵ-shotgun: ϵ-greedy Batch Bayesian Optimisation
acquisition-functions bayesian-optimization epsilon-greedy optimization
Language:C++ 5
pouyaardehkhani / ParameterOptimization
In this project, we focus on different ways to optimize a machine learning model parameters.
acquisition-functions annealing basic-search bayesian-optimization cross-validation gaus hyperopt hyperparameter-optimization hyperparameter-tuning metrics optuna parallelization scikit-opt search-space sequential-search smac smbo smbo-algorithms tpe
Language:Jupyter Notebook 3
georgedeath / how-bayesian-should-BO-be
How Bayesian should Bayesian Optimisation be?
bayesian-optimization bayesian-optimisation acquisition-functions bayesopt inference variational-inference hmc
Language:Jupyter Notebook 2
PUQ
parallelUQ / PUQ
Python package for generating experimental designs tailored for uncertainty quantification and featuring parallel implementations
acquisition-functions parallel-computing uncertainty-quantification active-learning experimental-design
Language:Python 2
carlosgorlongaiatto / ITI_Project
Bayesian Optimization using Gaussian Process: Implementation from Scratch.
acquisition-functions bayesian-optimization gaussian-processes hyperparameter-tuning machine-learning maximum-likelihood-estimation neural-network
Language:Jupyter Notebook 0
hallamlab / leADS
leADS: improved metabolic pathway inference based on active dataset subsampling
multi-label-imbalance multi-label-classfications multi-label-learning active-dataset-subsampling acquisition-functions metabolic-network biocyc metacyc metabolic-pathways metabolic-pathway-prediction metagenomics bioinformatics pathway-tools
Language:Python 0
HuabingWang-stack / PI_EI_Under_Gaussian_Noise_Assumption
Bayesian Optimisation acquisition functions PI and EI modified under guassian noise assuption at observations
acquisition-functions bayesian-optimization gaussian-processes
Language:Jupyter Notebook 0
TheivanPasu / ITI_Project
Bayesian Optimization using Gaussian Process: Implementation from Scratch.
acquisition-functions bayesian-optimization gaussian-processes hyperparameter-tuning machine-learning maximum-likelihood-estimation neural-network
Language:Jupyter Notebook 0