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active-sampling

Here are 4 public repositories matching this topic...

nettashafir / active_learning_with_label_noise

Official PyTorch Implementation for the "Active Learning with a Noisy Annotator" paper.

machine-learning deep-learning paper representation-learning active-learning learning-with-noisy-labels active-sampling

Updated Jun 9, 2025
Python

0xyuqi / physics-informed-kriging-pro

Spatiotemporal Gaussian process modeling for environmental data: non-stationary PDE prior, deep kernels, multi-fidelity fusion, and A-optimal sampling.非稳态 PDE + 核深度学习 + 多保真 Co-Kriging + 主动采样的物理约束克里金方法，用于复杂时空环境建模与预测

pytorch spatiotemporal active-learning geostatistics kriging deep-kernel-learning gaussian-process multi-fidelity physics-informed gpytorch environmental-modeling active-sampling time-dependent-pde

Updated Aug 30, 2025
Python

miccaiif / DifABAL

PyTorch implementation of our paper "Rethinking Deep Active Learning for Medical Image Segmentation: A Diffusion and Angle-based Framework"

data-mining active-learning medical-image-segmentation active-sampling angle-based-outlier-detection

Updated Apr 27, 2024
Python

sappelhoff / sp_code

Analysis code for the `mpib_sp_eeg` experiment

experiment decision-making neuroscience eeg psychology electroencephalography number-processing information-search active-sampling

Updated Mar 16, 2022
Jupyter Notebook

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