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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
pandas学习课程代码仓库
Program for the analysis and visualization of whole-slide images in digital pathology
Google Brain AutoML
:metal: awesome-semantic-segmentation
Homepage for STAT 157 at UC Berkeley
Breast Cancer Classification using CNN and transfer learning
A webapp to classify Breast Cancers
The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.
This is the Challenge Project of ISBI 2016. Our result ranked in the 1st out of 20+ teams in the August 29 re-submission.
Implementation of Camelyon'16 grand challenge
PyTorch implementation for Camelyon17 (Breast Tumor Classification)
基于卷积神经网络的猫狗识别 web 应用(Can u give me a star)
'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
Implementation of the CheXNet network (PyTorch)
使用 ggplot2 与colorspace 对多类型数据进行可视化heatmap 实现
CVPR 2020 论文开源项目合集
数据科学的笔记以及资料搜集
Python数据分析教程的资料
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
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》
基于Tensorflow2的深度学习开源书籍
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Code used to create the DeepHistReg submission to the ANHIR challenge.
Deprecated (migrated into deepin-screen-recorder after v20), consider create and maintain your own fork if you love it.
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。
DeepLearning - Camelyon16 dataset
Classification of Lung cancer slide images using deep-learning
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.