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lucaswychan/README.md

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About Me👋

I am a prospective MPhil student at HKUST with a deep passion for artificial intelligence and quantitative research. I find immense joy in coding and continuously expanding my knowledge base. Through my research journey, I have had the opportunity to delve into the fascinating realms of AI and technology, allowing me to gain valuable insights.

Tools that I usually use💼

vscode logo python logo pytorch logo tensorflow logo keras logo numpy logo pandas logo scikitlearn logo huggingface logo javascript logo html5 logo css3 logo react logo c logo java logo git logo jupyter logo linux logo

Currently exploring

  • Contrastive learning
  • Multimodal learning
  • Large language model
  • Portfolio optimization

Social Media💻

Connect me via LinkedIn - linkedin logo

LeetCode account - linkedin logo



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  1. Federated-Edge-AI-For-6G Federated-Edge-AI-For-6G Public

    Combination of federated learning algorithm and 6G technology.

    Python 1

  2. Zelda-Multiplayer-Game Zelda-Multiplayer-Game Public

    JavaScript 1

  3. Retinal-Vessel-Segmentation Retinal-Vessel-Segmentation Public

    Using Autoencoder to perform automatic segmentation of retinal vessels.

    Python 2

  4. neural-stock-prophet neural-stock-prophet Public

    LSTM-ARIMA with Attention and multiplicative decomposition for sophisticated stock forecasting.

    Python 2 1

  5. car-plate-recognition car-plate-recognition Public

    Optical character recognition (OCR) for car plate recognition

    Python 1

  6. contrastive-resnet50 contrastive-resnet50 Public

    Employ contrastive learning to enhance the ResNet-50 performace for skin lesion classification.

    Python 1