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A curated list of deep learning image classification papers and codes
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
deep learning for image processing including classification and object-detection etc.
Mask RCNN in TensorFlow
uni-app框架演示示例
结巴中文分词
Kaggle airbus ship detection challenge 21st solution
General code to convert a trained keras model into an inference tensorflow model
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
基于PyQt5的提取excel中指定列数据的小程序
PyTorch ,ONNX and TensorRT implementation of YOLOv4
CNN for multi-class image recognition in tensorflow
爬虫 : 爬取斗鱼TV的一些信息
A simple, fully convolutional model for real-time instance segmentation.
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.