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@Probability-Statistics-Jupyter-Notebook @kaist-silab @ai4co

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cbhua/README.md

Hi! Here is Chuanbo.

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I am now a second-year Ph.D. candidate at Korea Advanced Institute of Science and Technology (KAIST). I'm doing research with my colleagues at the Systems Intelligence Laboratory (SILab) suprevised by Prof. Jinkyoo Park. I am also working with great peers at the AI4CO open source group and the DiffEqML open source group.

You may find additional info on my homepage.

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  1. ai4co/rl4co ai4co/rl4co Public

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

    Python 455 84

  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

    89 7

  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 36 7

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

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

    Jupyter Notebook 15 1

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

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

    Jupyter Notebook 58 12

  6. pytorch/rl pytorch/rl Public

    A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

    Python 2.4k 321