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Hi, I'm Xiang Fang 👋

  • 🔭 I am currently working toward the Ph.D. degree at Nanyang Technological University.
  • 🌱 My research interests include multi-modal learning, Out-of-distribution (OOD) detection, etc.

I am always open to any cooperation. Feel free to drop me an email ([email protected])!

Xiang Fang's Projects

interview icon interview

Everything you need to prepare for your technical interview

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

kmbox icon kmbox

Kernel Methods Toolbox for Matlab/Octave

kmeans icon kmeans

A CUDA implementation of the k-means clustering algorithm

learn-javascript icon learn-javascript

JavaScript全栈教程参考源码→ http://t.cn/R2Elz3O 赞助→ http://t.cn/R5bhVpf

learngit icon learngit

教程→ http://t.cn/zQ6LFwE 推送请使用UTF-8编码

leeml-notes icon leeml-notes

李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes

lrslibrary icon lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接

mmsc icon mmsc

code implementation of MMSC

mshadow icon mshadow

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

mvdata icon mvdata

Data sets for multi-view learning.

mvdscn icon mvdscn

:game_die: The official tensorflow implemention of the paper for "Multi-view Deep Subspace Clustering Networks"

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