Projects in Awesome Lists tagged with uncertainty-sampling
A curated list of projects in awesome lists tagged with uncertainty-sampling .
https://github.com/ntucllab/libact
Pool-based active learning in Python
active-learning machine-learning machine-learning-library uncertainty-sampling
Last synced: 06 May 2025
https://github.com/SURGroup/UQpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
latin-hypercube latin-hypercube-sampling monte-carlo monte-carlo-simulation probabilistic probability stochastic stochastic-process uncertainty-propagation uncertainty-quantification uncertainty-sampling
Last synced: 14 Mar 2025
https://github.com/baggepinnen/MonteCarloMeasurements.jl
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
error-analysis error-propagation gpu-acceleration gpu-computing monte-carlo monte-carlo-sampling monte-carlo-simulation numeric-types particle-filter physical-quantities probability-distributions robust-optimization uncertainties uncertainty-propagation uncertainty-sampling
Last synced: 27 Mar 2025
https://github.com/baggepinnen/montecarlomeasurements.jl
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
error-analysis error-propagation gpu-acceleration gpu-computing monte-carlo monte-carlo-sampling monte-carlo-simulation numeric-types particle-filter physical-quantities probability-distributions robust-optimization uncertainties uncertainty-propagation uncertainty-sampling
Last synced: 15 Mar 2025
https://github.com/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:
active-learning adversarial-active-learning bayesian-active-learning core-set deep-learning egl machine-learning uncertainty-sampling
Last synced: 05 Apr 2025
https://github.com/tupui/phd-thesis
PHD Thesis at CERFACS: Uncertainty Quantification for High Dimensional Problems
computational-fluid-dynamics sensitivity-analysis uncertainty-quantification uncertainty-sampling uncertainty-visualisation
Last synced: 25 Feb 2025
https://github.com/eurobios-mews-labs/active-bagging-learning
This library proposes a plug-in approach to active learning utilizing bagging techniques. Bagging, or bootstrap aggregating, is an ensemble learning method designed to improve the stability and accuracy of machine learning algorithms.
active-learning bagging latin-square machine-learning ml surrogate-models uncertainty-sampling
Last synced: 20 Feb 2025
