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This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Segment Anything for Microscopy
zhouayi / SAM-Tool
Forked from anuragxel/salt利用Segment Anything(SAM)模型进行快速标注
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The github repository for our paper SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis
This research enhances early disease diagnosis by analyzing retinal blood vessels in fundus images using deep learning. It employs eight pre-trained CNN models and Explainable AI techniques.
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
📊 Benchmark multiple object trackers (MOT) in Python
Colab Notebooks implementing training and inference for the methods of several contestants participating in the 2021 CTC edition, in order to fulfill the reusability criteria
Pixel-realignment based self-supervised reconstruction for structured illumination microscopy
This repository contains the code, and access to the pretrained models and datasets for the paper: "Automated analysis of high-content microscopy data with deep learning"
Facile quantification of nanosized bioparticles in bright-filed micrograph via deep learning
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
A deep learning-based tool to identify splice variants
Transformer for One-Stop Interpretable Cell-type Annotation
The second version of the Kraken taxonomic sequence classification system