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peteryuX/README.md

Hi~ I'm Peter! 👋

I am a software engineer specializing in machine learning, with a strong passion for developing machine learning models for production. Currently, I have several years of experience working with the HTC VIVE team, where I have primarily focused on developing computer vision applications for AR / XR / VR devices using machine learning and deep learning techniques for visual understanding.

In my previous role, I served as a data scientist at Garena (Sea Group) for over a year. My primary focus there was on building a recommendation system for the BOOYAH! LIVE platform. Subsequently, I joined Dcard as an ML Engineer, where my main responsibility was to develop a post recommendation system that aimed to improve the user experience on the platform.

Reach my 🌐 Personal Website to get more details about me!

📧 Mail   Linkedin LinkedIn   GitHub GitHub

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  1. retinaface-tf2 retinaface-tf2 Public

    RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

    Python 272 97

  2. arcface-tf2 arcface-tf2 Public

    ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.

    Python 263 60

  3. esrgan-tf2 esrgan-tf2 Public

    ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

    Python 136 42

  4. pcdarts-tf2 pcdarts-tf2 Public

    PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

    Python 27 8

  5. tensorflow-GHM-loss tensorflow-GHM-loss Public

    The unofficial tensorflow implementation of loss weights of in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral). With Colab.

    Python 29 3

  6. 100Day-ML-Marathon 100Day-ML-Marathon Public

    Personal upload space for the 100Day-ML-Marathon, which is a marathon of training your machine learning skill on Kaggle in 100 consecutive days.

    Jupyter Notebook 7