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This is life: eat, drink, sleep.
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This is life: eat, drink, sleep.
141 followers · 32 following

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Achievement: Pull Sharkx2Achievement: Starstruckx3Achievement: Arctic Code Vault Contributor

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Achievement: Pull Sharkx2Achievement: Starstruckx3Achievement: Arctic Code Vault Contributor

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marsggbo/README.md

Hi 👋, I'm marsggbo

A student who keeps slim and smart

Personal Website

marsggbo

🇨🇳→🇭🇰→🇸🇬 I am currently a Research Scientist at A*star, Singapore, affiliated with CFAR, under the supervision of Prof Ong Yew Soon. Prior to this, I completed my Ph.D. in Computer Science at Hong Kong Baptist University (HKBU), where I was advised by Prof. Chu Xiaowen. I earned my Bachelor's degree with honors in the School of Electronic Information and Communications at Huazhong University of Science & Technology (HUST).

Looking for Research Interns:

  • Areas of:
    • AI cluster optimization
    • Large language model optimization
    • Resource-efficient ML systems
  • Requirements:
    • Python, PyTorch/TensorFlow
    • ML/Systems background
    • LLM background
  • Duration: 6-12 months (1 year available for PhD-track students)
  • Welcome: CSC scholars, Master/Bachelor students (planning to apply for PhD)

Contact Me

AutoML机器学习

marsggbo

Pinned Loading

  1. hyperbox hyperbox Public

    https://hyperbox-doc.readthedocs.io/en/latest/

    Python 25 4

  2. EAGAN EAGAN Public

    (ECCV2022) EAGAN: EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs

    Jupyter Notebook 11 2

  3. torchline torchline Public

    Easy to use Pytorch

    Python 71 2

  4. automl_a_survey_of_state_of_the_art automl_a_survey_of_state_of_the_art Public

    AutoML: A Survey of State-of-the-Art

    Python 14 7

  5. CovidNet3D CovidNet3D Public

    [AAAI2021] Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans

    Python 12 6

  6. deeplearning.ai_JupyterNotebooks deeplearning.ai_JupyterNotebooks Public

    DeepLearning.ai课程学习Jupyter Notebook作业

    Jupyter Notebook 580 322