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Achievement: Starstruckx2Achievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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anthony-wang/README.md

Hi, I'm Anthony 👋

A passionate Data Scientist from Germany

  • 🔭 I’m currently working on my PhD at the Technische Universität Berlin

    • Topic keywords: deep learning, machine learning, data science and visualization, materials science

  • 🛠 I use the following Python tools:

    • AI/ML: PyTorch, TensorFlow, scikit-Learn
    • Data wrangling: Pandas, NumPy, SQLite
    • Data visualization: Matplotlib, Seaborn, Plotly, Datashader

  • ☁️ I also have experience with cloud computing and HPC:

    • Colab / Jupyter / Kaggle notebooks
    • Grid.ai
    • Model training and deployment on SageMaker
    • High-performance computing at the TU Berlin

  • 🌱 I’m currently learning reinforcement learning and code golfing

  • 📄 More about me & contact info: https://anthonywang.de/

  • 💬 Ask me about our latest work, CrabNet for the accurate and inspectable predictions of materials properties based on the Transformer architecture!

Anthony Wang's GitHub stars

Most-used programming languages by Anthony Wang

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  1. BestPractices BestPractices Public

    Things that you should (and should not) do in your Materials Informatics research.

    Jupyter Notebook 181 75

  2. CrabNet CrabNet Public

    Predict materials properties using only the composition information!

    Python 96 29

  3. MakieOrg/Makie.jl MakieOrg/Makie.jl Public

    Interactive data visualizations and plotting in Julia

    Julia 2.5k 317

  4. deep-learning-v2-pytorch deep-learning-v2-pytorch Public

    Forked from udacity/deep-learning-v2-pytorch

    Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

    Jupyter Notebook 1

  5. speedcomplainer speedcomplainer Public

    Forked from sw82/speedcomplainer

    A Python app that tests your internet connection and then complains to your Internet Service Provider (and logs to a data store if you'd like). May not be for the faint of heart.

    Python 3 2

  6. gsoc_blog gsoc_blog Public

    Anthony Wang's GSoC 2018 blog

    Ruby 1 1