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A Machine Learning Classifier for Lung & Colon Cancer Histograms.
:bank: 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)
Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.
Python notebook using data from Lung and Colon Cancer Histopathological Images from Kaggle using fastai
Classification of Lung cancer slide images using deep-learning
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Depthwise Over-parameterized Convolutional Layer
Implementation of Dynamic ReLU on Pytorch
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
This repo is for storing all the results for cancer related research on lung colon histopathological images
OpenMMLab Image Classification Toolbox and Benchmark
code and trained models for "Attentional Feature Fusion"
Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
[ICCV 2021] Code for approximated exponential maximum pooling
A PyTorch implementation of VGG16. This could be considered as a variant of the original VGG16 since BN layers are added after each conv. layer
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.