Chao Suo (chaosuo888)

chaosuo888

Geek Repo

Location:China

Home Page:chaosuo@foxmail.com

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Chao Suo's repositories

MICCAI-OpenSourcePapers

MICCAI 2020 Open Source Papers

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MICCAI2021-OpenReviewAnalysis

Starting from MICCAI 2021, all accepted papers and their corresponding reviews are publicly available on OpenReview. This repo contains some high-level summarizations of this year's MICCAI papers based on OpenReview.

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PF-Net

Code for PF-Net (Pulmonary Fibrosis Segmentation Network)

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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AI-Job-Notes

AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)

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Ai-Learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

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ASNG

Code of ASNG@MICCAI-2020 (Auto Data Augmentation in Medical Image Segmentation)

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DeepLearningSystem

Deep Learning System core principles introduction.

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

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FLARE2021

Official repository of MICCAI Challenge: FLARE 2021.

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glslViewer

Console-based GLSL Sandbox for 2D/3D shaders

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H-DenseUNet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

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ImageProcessing100Wen

图像处理100题

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interview

2021秋招 计算机视觉算法岗面经整理——包含实习和校招等 内推整理

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machine-learning-deployment

Launch machine learning models into production using flask, docker etc.

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opencv-python-tutorial

image processing tutorial for beginners

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openmlsys-zh

《Machine Learning Systems: Design and Implementation》- Chinese Version

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Past-and-present-small-object-detection

Latest paper about small object detection

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TMUnet

Contextual Attention Network: Transformer Meets U-Net

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TNSCUI2020-Seg-Rank1st

This is the source code of the 1st place solution for segmentation task in MICCAI 2020 TN-SCUI challenge.

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Train_Custom_Dataset

标注自己的数据集,训练、评估、测试、部署自己的人工智能算法

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Transformer_for_medical_image_analysis

A collection of papers about Transformer in the field of medical image analysis.

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WORD

WORD: Revisiting Organs Segmentation in the Whole Abdominal Region

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