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Achievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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tiskw/README.md

Tetsuya Ishikawa - @tiskw

Tetsuya Ishikawa is a research scientist of machine learning and applied mathematics at GLORY LTD., focusing all his efforts on making the world better through mathematics.

Now he is mainly engaged in research and development of machine learning technologies for robotics. He also has experience in data analysis and image processing, mainly in the fields of factory automation and driver monitoring systems, respectively. For more details, visit his website.

📊 GitHub Stats

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🛠️ Skills & Tools

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  1. random-fourier-features random-fourier-features Public

    Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

    Python 99 21

  2. patchcore-ad patchcore-ad Public

    Unofficial implementation of PatchCore and several additional experiments.

    Python 15 2

  3. pytorch-op-counter-layerwise pytorch-op-counter-layerwise Public

    Count the layer-wise MACs and the number of parameters of your PyTorch model.

    Python

  4. scorecam-pytorch scorecam-pytorch Public

    Unofficial PyTorch implementation of Score-CAM with additional functions

    Python

  5. mathematical-articles mathematical-articles Public

    Mathematical articles about calculus, probability and machine learning.

    TeX 3

  6. yadopt yadopt Public

    Yet another docopt, a human-friendly command line arguments parser.

    Python