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tiskw/README.md

Tetsuya Ishikawa - @tiskw

Tetsuya Ishikawa is a mathematical engineer at GLORY LTD., focusing all his efforts on making the world better through mathematics.

Now he is mainly working on research and development of machine learning and image processing for driver monitoring systems of vehicles. He also has experiences in data analysis, mainly in the field of factory operation improvements. For more details, visit his website.

📊 GitHub Stats

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🛠️ Skills & Tools

🤝 Get in Touch

Pinned

  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 83 19

  2. patchcore-ad patchcore-ad Public

    Unofficial implementation of PatchCore and several additional experiments.

    Python 12 1

  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. affine-image2image-transformation affine-image2image-transformation Public

    Unofficial implementation of "The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation"

    Python 1

  6. mathematical-articles mathematical-articles Public

    Mathematical articles about calculus, probability and machine learning.

    TeX 2