Bio-AI Lab
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Arctic-LLM-Workshop-2023
Arctic-LLM-Workshop-2023 PublicWelcome 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 comprehensiv…
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StokesVertexBeam-Archive
StokesVertexBeam-Archive PublicImplements a deep learning framework for classifying 15 types of hybridly polarized Stokes vortex beams using diffraction-based Stokes polarimetry. It supports three experimental designs: simulatio…
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On-Generalization-of-3D-Generative-models
On-Generalization-of-3D-Generative-models PublicOfficial repository for Code accompanying the paper On-Generalization-of-3D-Generative-models
Python 1
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Inpainting-Archive
Inpainting-Archive PublicHypergraphs Image Inpainting in Scanning Acoustic Microscopy for Super-Resolution
Python
Repositories
- MiShape Public
Official repo of the the paper "MiShape: Shape Modelling of Mitochondria in 3D for Microscopy"
- On-Generalization-of-3D-Generative-models Public
Official repository for Code accompanying the paper On-Generalization-of-3D-Generative-models
- StokesVertexBeam-Archive Public
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.
- Mito_Analysis_JOVE Public
Supplementary files to the article "Analyzing Mitochondrial Morphology Through Simulation Supervised Learning"
- NN-Illumination-Estimation-FPM-Archive Public
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.
- UltraMNIST_FasterRCNN-Archive Public
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.
- HaphazardInputsReview-Archive Public
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.
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