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@adderbyte
adderbyte
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adderbyte

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Research Interest : high dimensional stats & prob., accelerated AI, robust decision-making, algorithmic foundations of massive data

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  1. GYM_XPLANE_ML GYM_XPLANE_ML Public

    GYM Environment for XPlane. Reinforcement Learning and Autonomous Piloting.

    Python 73 20

  2. Math_For_AI Math_For_AI Public

    Mathematical Materials for AI/Machine Learning/Studies

    10 2

  3. image_retrieval_paper_implementation image_retrieval_paper_implementation Public

    resnet image-retrieval similarity-measure ssim neural-network

    Jupyter Notebook 3 1

  4. statistical_mechanics statistical_mechanics Public

    Statistical Mechanics. Study and Implementation of (Non)Deterministic chaos models. Noise . Fractals. And Reservoir computing.

    Jupyter Notebook 2

  5. Vision-Language-Models-ReadingList Vision-Language-Models-ReadingList Public

    Reading List for Vision Language Models

    2

  6. ilya-sutskever-recommended-reading ilya-sutskever-recommended-reading Public

    Forked from dzyim/ilya-sutskever-recommended-reading

    It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.

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