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QinghaiZheng's Projects

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Spectral Perturbation Meets Incomplete Multi-view Data

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Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation

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Projective Low-rank Subspace Clustering via Learning Deep Encoder

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PRML algorithms implemented in Python

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Matlab code for machine learning algorithms in book PRML

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《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

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Python implementation of Robust Continuous Clustering

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Vim python-mode. PyLint, Rope, Pydoc, breakpoints from box.

pytorch-handbook icon pytorch-handbook

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

pytorch1.0-cn icon pytorch1.0-cn

PyTorch 1.0 官方文档 中文版,欢迎关注微信公众号:磐创AI

ratemysupervisor icon ratemysupervisor

永久免费开源的导师评价数据、数据爬虫、无需编程基础的展示网页以及新信息补充平台

rmkmcplus icon rmkmcplus

A reimplementation of the RMKMC algorithm with Kmeans++ initialization

rmsl icon rmsl

This is the CODE of Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering

robust-pca-rpca icon robust-pca-rpca

To implement movement and background segmentation in this regard, a novel solution of obtaining the movement of people and complex backgrounds by using RPCA has been created

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Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering

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This is a implementation of SDNE (Structural Deep Network embedding)

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Keras implementation of Structural Deep Network Embedding, KDD 2016

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