rqs's starred repositories
segment-anything
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.
awesome-java
A curated list of awesome frameworks, libraries and software for the Java programming language.
micropython
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
SiamTrackers
(2020-2022)The PyTorch version of SiamFC,SiamRPN,DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on deep learning
spring-boot-demo
Spring Boot 教程、技术栈示例代码。在工作中的最佳实践,帮助快速上手运用到工作中。
torchstain
Stain normalization tools for histological analysis and computational pathology
HEnorm_python
H&E histopathological staining normalization
Stain_Normalization
Some stain normalization code
Histopathology-Stain-Color-Normalization
Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images
Fast_WSI_Color_Norm
Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology
zero-one-hrsys
一款专业的企业级人力资源管理软件,旨在帮助企业高效、科学地管理员工信息,优化人力资源管理流程,提升员工工作满意度和企业整体运营效率。
CodeRelease_ColorNormalization
This is the MATLAB code for stain separation and color normalization in computational pathology (histopathological images)
miccai2020_self_sup_nuclei_seg
Self-supervised nuclei segmentation (MICCAI 2020)
RCF_Pytorch_Updated
Pytorch implementation of RCF
nuclick_torch
Pytorch implementation of NuClick for interactive cell segmentation
WeakNucleiSeg
The code of WEAKLY SUPERVISED NUCLEI SEGMENTATION VIA INSTANCE LEARNING
stain-normalization-reinhard-macenko-vahadane
color/stain normalization on histological images using Reinhard, Macenko and Vahadane methods
MaskGA_Net
Learning with Noise: Mask-Guided Attention Model for Weakly Supervised Nuclei Segmentation (MICCAI2021)
InstanceSeg-Without-Voxelwise-Labeling
Instance Segmentation from Volumetric Biomedical Images Without Voxel-Wise Labeling