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uncertainty-sampling

Here are 9 public repositories matching this topic...

ntucllab / libact

Pool-based active learning in Python

machine-learning machine-learning-library active-learning uncertainty-sampling

Updated Jun 18, 2023
Python

MonteCarloMeasurements.jl

baggepinnen / MonteCarloMeasurements.jl

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

monte-carlo particle-filter gpu-acceleration monte-carlo-simulation probability-distributions robust-optimization gpu-computing physical-quantities uncertainty-propagation error-propagation numeric-types uncertainties monte-carlo-sampling error-analysis uncertainty-sampling

Updated Feb 1, 2024
Julia

SURGroup / UQpy

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

monte-carlo probability stochastic monte-carlo-simulation stochastic-process uncertainty-quantification probabilistic uncertainty-propagation latin-hypercube uncertainty-sampling latin-hypercube-sampling

Updated May 10, 2024
Python

dsgissin / DiscriminativeActiveLearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

machine-learning deep-learning egl active-learning uncertainty-sampling core-set adversarial-active-learning bayesian-active-learning

Updated Sep 26, 2019
Python

ahhaque / SAND

SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream

classification semi-supervised datastream uncertainty-sampling classifier-confidence

Updated Dec 25, 2017
Java

ahhaque / ECHO

ECHO is a semi-supervised framework for classifying evolving data streams based on our previous approach SAND. The most expensive module of SAND is the change detection module, which has cubic time complexity. ECHO uses dynamic programming to reduce the time complexity. Moreover, ECHO has a maximum allowable sliding window size. If there is no c…

classification dynamic-programming semi-supervised datastream uncertainty-sampling classifier-confidence

Updated Dec 25, 2017
Java

ryanquinnnelson / CMU-02750-Query-Selection-Methods-in-Active-Learning

Spring 2021 - Automation of Scientific Research - course project

logistic-regression active-learning modal-library random-forest-classifier uncertainty-sampling iwal algorithm-implementation type-1-active-learning density-based-sampling query-by-committee max-disagreement-sampling

Updated Nov 10, 2021
Jupyter Notebook

tupui / PHD-Thesis

PHD Thesis at CERFACS: Uncertainty Quantification for High Dimensional Problems

uncertainty-quantification sensitivity-analysis computational-fluid-dynamics uncertainty-sampling uncertainty-visualisation

Updated Feb 4, 2021
TeX

sid-devic / OpAL

Open Active Learning for Deep Models

opal uncertainty-sampling deep-models query-strategy

Updated Aug 23, 2019
Python

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