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@Probability-Statistics-Jupyter-Notebook @kaist-silab @ai4co
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cbhua/README.md

🧑🏼‍🚀 Hi! Here is Chuanbo.

Github Twitter GMAIL Ins

Welcome to my profile.

I am now a second year's Ph.D. candidate in Korea Advanced Institute of Science and Technology (KAIST). I am interested in machine learning about graph neural networks, anomaly detection and high-dimensional partial differential equations simulator and solver.

🎓 Experiences

⚙️ Technologies

git git C# C++ Javascript Markdown Unity IOS Ubuntu

💡 About

"Education does for the mind, experience does for the soul."

Thanks for visiting.

Follower

Pinned

  1. ai4co/rl4co ai4co/rl4co Public

    A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

    Jupyter Notebook 154 24

  2. kaist-silab/awesome-graph-pde kaist-silab/awesome-graph-pde Public

    Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation

    69 6

  3. DiffEqML/pde-dataset-generator DiffEqML/pde-dataset-generator Public

    A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2

    Jupyter Notebook 27 5

  4. kaist-silab/graphsplinenets kaist-silab/graphsplinenets Public

    [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"

    Jupyter Notebook 4

  5. peak-over-threshold peak-over-threshold Public

    Algorithms about Peaks-over-Threshold, including POT, Stream POT, and DSPOT.

    Jupyter Notebook 40 10

  6. illustration-collection illustration-collection Public

    The collection of my research papers' illustrations.

    JavaScript 10

511 contributions in the last year

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Contribution activity

December 2023

Created 1 commit in 1 repository
13 contributions in private repositories Dec 2 – Dec 8

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