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    • Implements a deep learning framework for classifying 15 types of hybridly polarized Stokes vortex beams using diffraction-based Stokes polarimetry. It supports three experimental designs: simulation-only training, experimental 10-fold cross-validation, and mixed data training, achieving robust recognition even under experimental noise.
      Jupyter Notebook
      0000Updated Dec 18, 2024Dec 18, 2024
    • Supplementary files to the article "Analyzing Mitochondrial Morphology Through Simulation Supervised Learning"
      Python
      MIT License
      0000Updated Dec 9, 2024Dec 9, 2024
    • A Faster R-CNN approach for illumination estimation in Fourier ptychography by casting it as an object detection problem. It enhances superresolution, aberration correction, and quantitative phase imaging by providing highly robust illumination estimation.
      Python
      0000Updated Dec 5, 2024Dec 5, 2024
    • Auxiliary Network to handle dimension varying inputs in an online setting
      Python
      GNU General Public License v3.0
      0000Updated Dec 5, 2024Dec 5, 2024
    • For benchmarking convolutional neural networks on large images with multi-scale features. It includes experiments using Faster R-CNN to evaluate model performance under varying levels of noise and complexity, facilitating the development of new CNN methods for large scientific images.
      Python
      0000Updated Dec 5, 2024Dec 5, 2024
    • Code and datasets for our comprehensive review of online learning models that handle dynamic, missing, or evolving input features. Includes implementations and tools for evaluation across multiple datasets.
      Python
      0000Updated Dec 5, 2024Dec 5, 2024
    • Master Assistant Buddy Network for Image Retrieval
      Python
      0000Updated Dec 5, 2024Dec 5, 2024
    • A dropout regularization strategy for online learning with dynamic features, Aux-Drop ensures robust adaptability to missing, obsolete, or emerging inputs. Proven effective on multiple benchmarking datasets.
      Python
      0000Updated Dec 5, 2024Dec 5, 2024
    • Code for Virtual Labeling of Mitochondria in Living Cells using Correlative Imaging and Physics-guided Deep Learning
      Python
      GNU General Public License v3.0
      0000Updated Dec 5, 2024Dec 5, 2024
    • This is a repository that contains practice module for the book 'Interpretability in Deep Learning'. This is recommended to AI practitioners and basically anyone who wants an overview of techniques to make their deep learning models more interpretable.
      Jupyter Notebook
      0000Updated Dec 5, 2024Dec 5, 2024
    • Hypergraphs Image Inpainting in Scanning Acoustic Microscopy for Super-Resolution
      Python
      0000Updated Dec 5, 2024Dec 5, 2024
    • Simulated mitochondria videos. Generate customizable labeled data for simulation supervised machine learning. behaviors like fission, fusion, and kiss-and-run. Enables creation of extensive labeled datasets.
      Python
      0000Updated Dec 5, 2024Dec 5, 2024
    • physeg

      Public
      Code from the paper "Physics based machine learning for sub-cellular segmentation in living cells." In Nature, 2021.
      Python
      MIT License
      0100Updated Dec 3, 2024Dec 3, 2024
    • 3DOSL

      Public
      Official repository for Code accompanying the dataset
      Jupyter Notebook
      Creative Commons Attribution 4.0 International
      0100Updated Oct 30, 2024Oct 30, 2024
    • Welcome to the official GitHub repository for the Arctic Large Language Model (LLM) Workshop hosted by the Bio-AI Lab on the 27th and 28th of October, 2023. This repository serves as a comprehensive guide and resource center for all attendees and those interested in the world of LLMs.
      Jupyter Notebook
      MIT License
      2201Updated Nov 10, 2023Nov 10, 2023