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DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras
BCDU-Net : Medical Image Segmentation
crawler for baiduImage
implement CRNN in Keras with Spatial Transformer Network
D-Unet in PyTorch
Two-Phase Kernel Estimation for Robust Motion Deblurring
deep learning for image processing including classification and object-detection etc.
Simple demo of DenseNet with Spatial Transformer Network, trained on cifar-10
Grad-CAM implementation in Keras
Keras Implementation of EfficientNets
Keras documentation, hosted live at keras.io
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".
pyqt5调用本地摄像头
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Keras implementation of a res2net module with tf banckend
Calculate common metrics in semantic segmentation, PyTorch Implementation
Simple tensorflow implementation of "Selective Kernel Networks"
Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.
Image Registration via Spatial Transformer Networks for Fingernail Imaging Technique
第七届泰迪杯数据挖掘挑战赛-B题-直肠癌肿瘤分割
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Simple samples for TensorRT programming
U-Net model for Keras
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.