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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Inpainting-Archive
Inpainting-Archive PublicHypergraphs Image Inpainting in Scanning Acoustic Microscopy for Super-Resolution
Python
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IDL-Archive
IDL-Archive PublicThis 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…
Jupyter Notebook
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VirtualStain_I2I-Archive
VirtualStain_I2I-Archive PublicCode for Virtual Labeling of Mitochondria in Living Cells using Correlative Imaging and Physics-guided Deep Learning
Python
Repositories
- 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.
bioailab/StokesVertexBeam-Archive’s past year of commit activity - Mito_Analysis_JOVE Public
Supplementary files to the article "Analyzing Mitochondrial Morphology Through Simulation Supervised Learning"
bioailab/Mito_Analysis_JOVE’s past year of commit activity - 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.
bioailab/NN-Illumination-Estimation-FPM-Archive’s past year of commit activity - 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.
bioailab/UltraMNIST_FasterRCNN-Archive’s past year of commit activity - 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.
bioailab/HaphazardInputsReview-Archive’s past year of commit activity - Aux-Drop-Archive Public
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.
bioailab/Aux-Drop-Archive’s past year of commit activity - VirtualStain_I2I-Archive Public
Code for Virtual Labeling of Mitochondria in Living Cells using Correlative Imaging and Physics-guided Deep Learning
bioailab/VirtualStain_I2I-Archive’s past year of commit activity - IDL-Archive Public
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.
bioailab/IDL-Archive’s past year of commit activity
