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  1. My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1500+页)和视频链接

    Jupyter Notebook 3.8k 1.1k

  2. A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep learning, Geometric fitting, 3D pose, Video based tracking

    14 2

  3. This is a growing tutorial demonstrates some MATLAB examples and their equivalent code in Python

    Jupyter Notebook 63 23

  4. it contains all my python demo code accompanying my machine learning notes

    Jupyter Notebook 53 22

  5. it contains all the MATLAB demo code associated with my machine learning notes

    MATLAB 20 17

  6. My drawings during my 20s. Right now, I am just too busy with Machine Learning

    3

69 contributions in 2020

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Contribution activity

March 2020

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