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• 🔭 I’m currently working on machine learning research in my spare time. I'm also looking at ways to improve machine learning inference in battle-tested production systems.
• 🌱 I’m currently learning Golang, Kotlin and Rust
• 📫 How to reach me: Simply @ me by raising an issue in my personal repository

Recent Projects

• Decision Engine with Rust and Python bindings

My ML Algorithm implementations and/or tutorials:

I am one of the original authors of scikit-learn's category encoders

• Crank ML: What if scikit-learn was differentiable? Implementations of decision trees, linear models, decomposition, preprocessing all in pytorch
• Scene Completion: An implementation of "Scene Completion Using Millions of Photographs"
• Graph Differential Pooling: A short tutorial/implementation of graph differential pooling to understand how it works
• Hoeffding Trees: A minimal implemention of Hoeffding trees with visualizations to understand how they work
• Feature Rich Encodings: An implementation of feature rich encodings for NLP applications

My foray into parsers and compilers:

• Ramble: A combinatory parser for the R programming language
• Stan: A SAS transcompiler to Python for the SAS programming language