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🔭 I’m currently working on my PhD at the Technische Universität Berlin
- Topic keywords: deep learning, machine learning, data science and visualization, materials science
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🛠 I use the following Python tools:
- AI/ML: PyTorch, TensorFlow, scikit-Learn
- Data wrangling: Pandas, NumPy, SQLite
- Data visualization: Matplotlib, Seaborn, Plotly, Datashader
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☁️ I also have experience with cloud computing and HPC:
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🌱 I’m currently learning reinforcement learning and code golfing
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📄 More about me & contact info: https://anthonywang.de/
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💬 Ask me about our latest work,
CrabNet
for the accurate and inspectable predictions of materials properties based on the Transformer architecture!
👨🔬🖥
Experienced Senior Data Scientist with 5+ years of overall professional experience across industries, including AI Research, Retail/Consumer, Energy, Banking.
- Düsseldorf, Germany
- https://anthonywang.de/
- in/wanganthony
- @aytwang
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BestPractices
BestPractices PublicThings that you should (and should not) do in your Materials Informatics research.
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MakieOrg/Makie.jl
MakieOrg/Makie.jl PublicInteractive data visualizations and plotting in Julia
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deep-learning-v2-pytorch
deep-learning-v2-pytorch PublicForked 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
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speedcomplainer
speedcomplainer PublicForked 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.
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