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A data augmentations library for audio, image, text, and video.
This is a 5 Class Image Classification Task based on a Kaggle dataset from Eye Images (Aravind Eye hospital) - APTOS 2019 Challenge. The goal is to predict the Blindness Stage (0-4) class from the Eye retina Image using Deep Learning Models (CNN). This Automated System would speed up Blindness detection on Patients
学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
计算机识别的简单练习
deep learning for image processing including classification and object-detection etc.
Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection
DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,
The Hamilton Eye Institute Macular Edema Dataset (HEI-MED) (formerly DMED) is a collection of 169 fundus images to train and test image processing algorithms for the detection of exudates and diabetic macular edema. The images have been collected as part of a telemedicine network for the diagnosis of diabetic retinopathy
双输入的模型
该资源为作者在CSDN的撰写Python图像处理文章的支撑,主要是Python实现图像处理、图像识别、图像分类等算法代码实现,希望该资源对您有所帮助,一起加油。
JAMA 2016; 316(22) Replication Study
Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination
An implementation of Grad-CAM with keras
Python code for common Machine Learning Algorithms
This project is built to detect and determine Diabetic Retinopathy which affects more than half a million people around the world.
📖 OpenCV-Python image processing tutorial for beginners
Transfer learning models for Image Classification
Multi-Input Deep Neural Networks with PyTorch-Lightning - Combine Image and Tabular Data
real-time network architecture for mobile devices and semantic segmentation
Retina blood vessel segmentation with a convolutional neural network
Bayesian linear survival analysis with shrinkage priors in Stan
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
U-Net Brain Tumor Segmentation
[ICCV2021] [Tensorflow] Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
Weakly Supervised Learning: Introduction and Best Practices
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.