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Scikit-learn core developer and ML educator building accessible machine learning tools and teaching materials.

Scikit-learn library development and maintenanceMachine learning education and workshopsApplied ML with Python practical systemsTime-series and anomaly detectionProduction ML and experiment trackingStructured learning and graphical models

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Los Gatos

Andreas Mueller

Top 29%
@amueller

Principal Research SDE at Microsoft and scikit-learn core developer who creates both production ML tools and learning resources. Maintains gah for reusable utilities while running workshops like water_hackweek_2020_machine_learning and tutorials such as amueller/strata-nyc-2016.

amueller.github.io

Dabl. I built a tool that visualizes data and finds strong models automatically.

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Notebooks. I collected a set of random notebooks exploring different ideas.

2

Figures. I made a collection of diagrams and drawings for talks.

3

Structured Prediction Talk. I made slides explaining structured prediction and PyStruct.

6

Damascene. I built GPU-accelerated image segmentation for faster photo analysis.

14

Scikit-learn Tutorial. I created a hands-on tutorial for learning machine learning with Python.

16

ImageNet Explorer. I made a Python tool to explore the ImageNet image database.

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Water Hackweek ML Workshop. I made a machine learning workshop teaching practical data analysis with Python.

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Gah. I collected the code snippets I write all the time into one place.

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GPU Quickshift. I built Python bindings for a really fast image segmentation algorithm.

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Vim Config. I shared my Vim editor configuration for others to learn from.

2

CV. I made a resume template that compiles from source code.

9

NYC WiMLDS Scikit-learn Sprint. I organized a community sprint to help people contribute to scikit-learn.

17

MLflow. I built a tool to track machine learning experiments and models.

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ML Intro for CUNY. I created an introduction to machine learning course for CUNY.

5

Scikit-learn Tutorial. I made a complete machine learning tutorial with videos and examples.

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Scikit-learn Workshop. I made interactive Jupyter notebooks for learning machine learning.

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Open Source Directions. I collected webinar materials on Scikit-learn's open source direction.

5

Columbia Website. I made a simple Jekyll theme for personal websites and blogs.

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