- 📫 How to reach me: [email protected].
Languages and Tools:
Technology being learned:
Favorite sites:
Name: Li Xiang
Type: User
Company: @diggerslab, UESTC
Bio: @Oneflow-Inc, @siliconflow.
Location: Shenzhen
Languages and Tools:
Technology being learned:
Favorite sites:
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
A platform for training and testing semantic segmentation models using PyTorch
some tricks and algo for semantic segmentation
[MICCAI2020] Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning
Semantic Segmentation in Pytorch
[TPAMI 2023] Official Implementation of SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2204.08808
Source-Free Domain Adaptation
[MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling
[MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining
[MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1.
MICCAI 2022: code for 'Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency'
Concise, consistent, and legible badges in SVG and raster format
[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation
零基础基于U-Net网络实战眼底图像血管提取
[CVPR 2022] Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
PyTorch implementation for our paper on TMI2022: Retinal Vessel Segmentation with Skeletal Prior and Contrastive Loss
1-shot image segmentation using Stable Diffusion
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
CS50's fork of Eric Roberts' Stanford Portable Library.
Spring实现控制翻转和依赖注入的入门Demo
Android studio使用sqlite数据库实例
Official Code for our MICCAI 2022 paper "Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation"
这是一个ssd-tf2(tensorflow2)的源码,可以用于训练自己的模型。
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
SSM框架整合测试
SSSegmentation: An Open Source Strongly Supervised Semantic Segmentation Toolbox Based on PyTorch.
TensorRT Extension for Stable Diffusion Web UI
Baseline for Task 2 of the MICCAI 2023 STAGE Challenge.
“超级明星脸”是一款基于深度学习的微信小程序,根据用户的上传照片匹配最相似的明星,推荐明星主演的电影。
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.