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35 followers · 10 following
  • The University of Hong Kong

Achievements

Achievement: Galaxy BrainAchievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: Galaxy BrainAchievement: Pull SharkAchievement: Quickdraw

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kissjerryfan/README.md

Hi 👋, I'm Jerry Fan

A graduate student who likes programming and sharing stories with friends

kissjerryfan

Typing SVG

Status and language preference：

Streak status：

Activity graph:

Dreamer5201314's github activity graph

Some achievements:

kissjerryfan

Something about me:

  • 👀 I’m interested in deep learning and quantitative trading.

  • 🌱 I’m currently learning deep learning algorithms.

  • 💞️ I’m looking to collaborate on some quantitative trading projects.

  • 📫 How to reach me ... You can reach me by sending an email to craker-fan@foxmail.com

Quotation:

Languages and Tools:

git github python java javascript vuejs webpack yarn android androidstudio apache spring html5 css3 jquery mysql npm opencv pycharm pytorch filezilla

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  1. For_Girlfriend For_Girlfriend Public

    Maybe someday can be used

    JavaScript 3

  2. compkey_front compkey_front Public

    A front-end project for searching competitive words using compkey method.

    Vue 3

  3. financial-fraud-analytics-lab1 financial-fraud-analytics-lab1 Public

    Preprocess the data for fraud detection, using techniques such as missing values implementation, PCA, feature selection...

    R 1

  4. financial-fraud-analytics-lab2 financial-fraud-analytics-lab2 Public

    Build some deep learning models for predicting fraud cases, such as random forest, neural network and so on.

    R 1

  5. Natural-Language-Processing-Lab1 Natural-Language-Processing-Lab1 Public

    Implement prompt method of PoT, PHP with one shot and few shots. The accuracy can achieve 89%.This project uses Llama-3.1-8b-Instruct model.

    Python

  6. Natural-Language-Processing-Lab2 Natural-Language-Processing-Lab2 Public

    Explore the factors which affect the accuracy of LLMs performance on GSM8K. This project uses Llama-3.1-8b-Instruct model.

    Python