- 📫 How to reach me: [email protected].
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Name: Li Xiang
Type: User
Company: @diggerslab, UESTC
Bio: @Oneflow-Inc, @siliconflow.
Location: Shenzhen
Languages and Tools:
Technology being learned:
Favorite sites:
图书管理系统python-Django
LiTS - Liver Tumor Segmentation Challenge
liver tumor segmentation(2d UNet) for LITS2017
index
我的学术主页
非递归的预测分析
判断LL(1)文法和转换
java web login逻辑
人口增长模型参数预测
Using Low-rank adaptation to quickly fine-tune diffusion models.
A UI made in Pyside6 to make training LoRA/LoCon and other LoRA type models in sd-scripts easy
Frontend Theme Packs for Luogu Blog.
研究生数学建模,本科生数学建模、数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.
Official Code for our paper "Mutual Consistency Learning for Semi-supervised Medical Image Segmentation"
Mean Teacher with Medical Imaging Data Augmentation (torchio)
Implementation of Medfusion - A latent diffusion model for medical image synthesis.
[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)
[Pytorch] U-Net, R2U-Net, and Attention R2U-Net models for Image Segmentation. Results shown for STARE/DRIVE datasets.
Adapting Segment Anything Model for Medical Image Segmentation
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
The official repository for MedSAM: Segment Anything in Medical Images.
Official implementation of paper "MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model"
Multi-Scale GCN-Assisted Two-Stage Network for Joint Segmentation of Retinal Layers and Disc in Peripapillary OCT Images
Official PyTorch Implementation of MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation(CVPR 2023).
liver segmentation using deep learning
MICCAI 2020-2022 Open Source Papers
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.