nettashafir / active_learning_with_label_noise Star 7 Code Issues Pull requests 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 Star 5 Code Issues Pull requests Discussions 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 Star 3 Code Issues Pull requests 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 Star 1 Code Issues Pull requests 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