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:metal: awesome-semantic-segmentation
speech enhancement\speech seperation\sound source localization
README and scripts for the Cityscapes Dataset
里面会保存许多优秀的卷积神经网络结构,这些结构可以帮助我们更好的设计网络。
Face swapping, Image morphing, Image warping.
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Keras implementation of Deeplab v3+ with pretrained weights
Lane Segmentation Solution for Baidu AI PaddlePaddle Autonomous Driving Competition(1st Place)
Models and examples built with TensorFlow
🎮 🚀 Nice Vibrations and Lofelt Studio SDK source code repository
A collection of loss functions for medical image segmentation
I will upload many semantic segmentation models to this repository for you to learn
Deezer source separation library including pretrained models.
Noise Suppression Module Port From WebRTC
这是一个YoloV4-keras的源码,可以用于训练自己的模型。
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.