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Hi there, I'm Max šŸ‘‹

Iā€™m a Data Science & Engineering practitioner from Hamburg, Germany. Iā€™m an avid open source contributor, author of machine learning & technology books, speaker and Coursera instructor.

I specialize in Deep Learning and its applications and can build machine learning solutions and data products from first prototype to production. As Ray contributor, DL4J core developer, Keras contributor, Hyperopt maintainer and author of a range of open source libraries, I have a distinct view on ML engineering and the data science ecosystem.

Here's what I'm up to right now

  • šŸ“– Check out my new book with O'Reilly called "Learning Ray", which helps you get started with distributed Python with Ray. Most content is available on my homepage.
  • šŸ”­ Some of the materials from my courses as Data Science professor at IU can be found here. My teaching centers around programming Python, big data technologies and reinforcement learning.
  • šŸ”­ If you have interesting freelance opportunities, don't hesitate to get in touch with me.
  • šŸ’¬ Ask me about anything Python or Data Science related. I'm happy to discuss!
  • āš” Fun fact: I get asked for directions by total strangers all the time, even in foreign countries (and I have yet to figure out why).

Interesting things I've been doing in the past

And here's how you can get in touch with me

šŸ“ˆ GitHub Stats

Max's meaningless GitHub stats

Max Pumperla's Projects

aetros-cli icon aetros-cli

AETROS CLI + SDK. Command line application to manage/monitor machine learning training in AETROS Trainer

betago icon betago

BetaGo: AlphaGo for the masses, live on GitHub.

elephas icon elephas

Distributed Deep learning with Keras & Spark

entropy-mdlp icon entropy-mdlp

Minimum description length principle algorithm in Python, for optimal binning of continuous variables

hyperas icon hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

iot-demo icon iot-demo

Sketching a Real-Time Analytics Pipeline in Python

microdist icon microdist

A tiny distributed neural network implementation based on micrograd and Ray

neuralforecast icon neuralforecast

Time Series Prediction: A Non Linear Approach with Neural Networks

pyreadme icon pyreadme

pyreadme - Python interface for the readme.io HTTP API

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rl-course-exercises icon rl-course-exercises

Public notebook for colab-hosted exercises for https://applied-rl-course.netlify.app/

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