Name: Michael Jason
Type: User
Company: Zenaida Orn Company
Bio: Hi, I'm Michael Jason. I'm a big fan of Cristiano Ronaldo and love watching him play football. It's nice to meet you!"
Location: 0588 ,Emelia Rest ,Marceleneport ,Idaho ,Fiji
Michael Jason's Projects
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
C++那些事
搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
图解计算机网络、操作系统、计算机组成、数据库,共 1000 张图 + 50 万字,破除晦涩难懂的计算机基础知识,让天下没有难懂的八股文!🚀 在线阅读:https://xiaolincoding.com
计算机类常用电子书整理,并且附带下载链接,包括Java,Python,Linux,Go,C,C++,数据结构与算法,人工智能,计算机基础,面试,设计模式,数据库,前端等书籍
计算机书籍整理
[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
医学影像数据集列表
deep learning for image processing including classification and object-detection etc.
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
《Hello 算法》一本动画图解、能运行、可提问的数据结构与算法入门书
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
Official implementation of paper "MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model"
Config files for my GitHub profile.
Welcome to my vuepress blog
概率论与数理统计
A one-column minimal responsive Jekyll blog theme
PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
Make your vim more power and much easer.
最良心的 Python 教程:
Python - 100天从新手到大师
Image-to-Image Translation in PyTorch
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
The Minimum Viable Model website and Jekyll theme.
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.