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Shenzhen University
- Shenzhen
- https://superheroyly.github.io/
Highlights
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Stars
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Alternative light and dark icons for Logseq. (https://logseq.com)
This repo aims to help Logseq users to sync their data with Git and GitHub.
Unsupervised Learning for Image Registration
SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that …
This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly interface.
Detecting Fatigue Driving using Deep Learning
This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so …
PySide6 based full-lifecycle orienteering event management system
materials of 3rd year course of SZTU
Machine Learning with Echo State Networks, a scikit-learn compatible package.
Elegant and powerful theme for Hexo.
Repository for the research on how network topology(e.g. modularity, small-worldness, layered structure) effect on network dynamics and performance.
PyTorch implementations of Generative Adversarial Networks.