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dengjiongshen's Projects

ai-learn icon 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

asap icon asap

Program for the analysis and visualization of whole-slide images in digital pathology

camelyon icon camelyon

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

camelyon16-challenge icon camelyon16-challenge

This is the Challenge Project of ISBI 2016. Our result ranked in the 1st out of 20+ teams in the August 29 re-submission.

camelyon17 icon camelyon17

PyTorch implementation for Camelyon17 (Breast Tumor Classification)

catvsdog icon catvsdog

基于卷积神经网络的猫狗识别 web 应用(Can u give me a star)

cervical_cancer_object_detection icon cervical_cancer_object_detection

'Digitized Human Body' Visual Challenge - Intelligent Diagnosis of Cervical Cancer Risk 天池大赛项目:“数字人体”视觉挑战赛-宫颈癌风险智能诊断

chexnet icon chexnet

Implementation of the CheXNet network (PyTorch)

colortile icon colortile

使用 ggplot2 与colorspace 对多类型数据进行可视化heatmap 实现

deep-histopath icon deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

deep-learning-from-scratch icon deep-learning-from-scratch

深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》

deephistreg icon deephistreg

Code used to create the DeepHistReg submission to the ANHIR challenge.

deepin-screenshot icon deepin-screenshot

Deprecated (migrated into deepin-screen-recorder after v20), consider create and maintain your own fork if you love it.

deeplearning-tensorflow2 icon deeplearning-tensorflow2

本专栏我将使用谷歌TensorFlow2.0框架逐一复现经典的卷积神经网络:LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列,以及现在比较流行的:RCNN系列、SSD、YOLO系列等。

deeppath icon deeppath

Classification of Lung cancer slide images using deep-learning

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