Pinned Repositories
awesome-cs-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
awesome-source-free-test-time-adaptation
[2022] A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
Best_README_template
🌩最好的中文README模板⚡️Best README template
BraTS3Dpreprocessing
(3D网络)医学三维数据且又多模态多标签该如何预处理 https://zhuanlan.zhihu.com/p/137163095
break-the-ice-with-python
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
nnUNet
nnuent源码。
WORD
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
yn
A Hackable Markdown Note Application for Programmers. Version control, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, plug-in, and macro replacement.
Xinya-liuliu's Repositories
Xinya-liuliu/awesome-cs-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
Xinya-liuliu/awesome-source-free-test-time-adaptation
[2022] A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
Xinya-liuliu/nnUNet
nnuent源码。
Xinya-liuliu/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Xinya-liuliu/CLIP-Driven-Universal-Model
Rank first in Medical Segmentation Decathlon (MSD) Competition.
Xinya-liuliu/DAG4MIA
Domain Adaptation and Generalization for Medical Image Analysis
Xinya-liuliu/dataset
医学影像数据集列表 『An Index for Medical Imaging Datasets』
Xinya-liuliu/DTC
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Xinya-liuliu/Dual-Normalization
[CVPR‘22] Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization
Xinya-liuliu/hackingtool
ALL IN ONE Hacking Tool For Hackers
Xinya-liuliu/hecktor
20220707 这是2021年hecktor的数据预处理代码，三天前有更新，于是我重新fork了源库。
Xinya-liuliu/hecktor-1
前年hecktor排名第一的代码 yyds 20220708
Xinya-liuliu/i2pdbrowser
i2pd browser bundle
Xinya-liuliu/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
Xinya-liuliu/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Xinya-liuliu/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Xinya-liuliu/mini_gtest
C语言100行内仿 GoogleTest 测试框架（以及GitHub笔记）
Xinya-liuliu/nibabel
对一些常见的神经影像文件格式进行读/写访问 【20220708】 官方网址：https://nipy.org/nibabel/ Python package to access a cacophony of neuro-imaging file formats
Xinya-liuliu/PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.PaddleSeg是基于飞桨PaddlePaddle开发的端到端图像分割开发套件，涵盖了高精度和轻量级等不同方向的大量高质量分割模型。通过模块化的设计，提供了配置化驱动和API调用两种应用方式，帮助开发者更便捷地完成从训练到部署的全流程图像分割应用。分割在医疗上广泛应用，例如病灶分割，血管分割等。
Xinya-liuliu/Paper-Reading-Group
List shared papers in our group
Xinya-liuliu/Python
All Algorithms implemented in Python
Xinya-liuliu/python-small-examples
告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 Python中文网 http://www.zglg.work
Xinya-liuliu/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more csdn讲解：https://blog.csdn.net/a486259/article/details/123525448
Xinya-liuliu/RAM-DSIR
[ECCV'22] Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration
Xinya-liuliu/SegLoss
20220707有关分割的各种loss阐述。对应论文存在本地电脑 G:\1-Healthcare Intelligence Laboratory\3-Graduation project\2-ReadPaper\add_knowledge\seg_loss 中。A collection of loss functions for medical image segmentation
Xinya-liuliu/SimpleITK-Notebooks
20220709 SimpleITK-笔记本 Jupyter notebooks for learning how to use SimpleITK
Xinya-liuliu/tdesktop
Telegram Desktop messaging app
Xinya-liuliu/TUTORIAL
(20220709) 此存储库包含 SimpleITK 教程中使用的代码。 如果您正在寻找成为 SimpleITK 熟练用户的最快方法，我们强烈建议您完成本教程。 它包括几个小时的教学材料，非常值得投入时间。 因此，请访问网站并开始您的 Insight 之旅。+ 官方配套的教程是 ：https://simpleitk.org/TUTORIAL/
Xinya-liuliu/tutorials
20220709 从 CT 图像中进行肺病灶分割的 U-Net 模型 MONAI Tutorials
Xinya-liuliu/Web
千古前端图文教程，超详细的前端入门到进阶学习笔记。从零开始学前端，做一名精致优雅的前端工程师。