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Qian Xingjian's Projects

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Implementation of Graph Convolutional Networks in TensorFlow

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According to the unified deployment of the Ministry of land and resources and the overall work arrangement of the overall land use planning of Shanghai, the relevant departments of Shanghai have formed the overall land use planning database of 2035 District, the general land use planning database of new towns, and other special planning databases. The purpose of the project is to further improve the efficiency of urban master plan and land use master plan review, strengthen the project technology and quality control, ensure the audit work to be carried out efficiently, accurately, completely and conveniently, and accumulate the overall land use planning results.

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golang语言打造高并发web即时聊天(IM)应用-支持10万人同时在线 学习源码

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『Java八股文』Java面试套路,Java进阶学习,打破内卷拿大厂Offer,升职加薪!

kddcup-starting-kit icon kddcup-starting-kit

The submission template for the Learning to Dispatch and Reposition Competition @ KDD2020.

keras-gat icon keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

mf-stn icon mf-stn

The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"

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Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

models icon models

Models and examples built with TensorFlow

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👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀

opencv_tutorial icon opencv_tutorial

基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像

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