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This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).
Numerical Tours of Signal Processing
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
Python Whole Slide Image Preprocessing
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
PyTorch implementation of UNet++ (Nested U-Net).
Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, DsenseASPP, RefineNet, RDFNet)
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
🕯 Offline rendering tools and utilities for research in computer graphics.
Collection of popular and reproducible image denoising works.
Residual Attention Network for Image Classification
Deep Reinforcement Learning (DRL) agents applied to medical images
Quantumult(X)、Surge 脚本集合,解锁VSCO/Tiktok/Terimius... 1.0.3 远程设备ID配置
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
pytorch版—使用resnet50迁移学习实现皮肤病图片的二分类
Natural Language Understanding Library for Apache Spark.
图像超分辨率算法的实现
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors
Computation using data flow graphs for scalable machine learning
Learning Deep Features for Discriminative Localization (2016)
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
机器学习相关教程
Repository containing code for "U-Net Fixed-Point Quantization for Medical Image Segmentation" paper at MICCAI2019
MICCAI2019:3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation
including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.
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.