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Hi, I'm a Technical Writer, Product Manager, Blog Author, and a Google Developer Expert (GDE) 2019 in Machine Learning. I occasionally post projects and educational documentation outside of my job. My interests are deep learning and NLP, with occasional leaps and bounds into adjacent topics.



Little Brags I'm Proud Of

  • 🏅 Recognized as a Google Developer Expert (GDE) in Machine Learning 2019
  • 📘 Author of Cooking a Black Box book, Bootstrap ML, Graffiti AI
  • 🎤 Featured technical writer at TensorFlow Dev Summit 2019
  • 🌟 Top contributor to TensorFlow documentation
  • 🎓 Mentored 30+ open-source writers, students and IC product contributors

Top Contributed Repositories

💻 Featured YouTube Videos

Andrew Stepin Docs at TensorFlow Dev Summit 2019 Graffiti AI Training

💻 Books and Publications

💼 Projects

  • 🤖 Bootstrap ML: A comprehensive collection of pre-written code for machine learning and deep learning use cases, all in one convenient place. Whether you're a seasoned practitioner or just starting your ML journey, this repository provides a solid foundation to build upon.

  • 📓 TensorFlow Notebooks: A curated compilation of all TensorFlow runnable Jupyter Notebooks in Russian, making it easier for Russian-speaking countries to dive into the world of TensorFlow and explore its capabilities through interactive coding environments.

  • 📓 TensorFlow Docs: The official documentation repository for TensorFlow, containing guides, tutorials, and API references for the popular machine learning framework. (All community docs and translations moved to tensorflow/docs-l10n for localization efforts.)

  • 🔄 TensorShort: TensorShort is a fork of TensorFlow that introduces shorter, cleaner, and more Pythonic naming conventions for functions and methods, making the codebase more readable and easier to work with.

  • 🎨 Graffiti AI: An out-of-control package that continuously generates new graffiti artworks based on feed image data. Unleash your creativity and explore the boundaries of AI-generated art with this unique project.

  • 📓 Doc'n'Code: 10 fast rock'n'roll rules for documenting software for non-technical writers.

  • 📚 Visual PEPs: A collection of visualized Pythonic code conventions, designed to facilitate faster learning and better understanding of best practices in Python programming.

  • 📝 Analitika: An automated text summarizer powered by NLTK (Natural Language Toolkit), helping you quickly grasp the essence of lengthy documents and articles.

Feel free to explore my projects and reach out if you have any questions or if you'd like to collaborate!

Python TensorFlow Keras PyTorch Scikit-Learn Jupyter Notebook Pandas NumPy Matplotlib Seaborn Markdown Git

Andrew Stepin's Projects

tfjs-website icon tfjs-website

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

tpu icon tpu

Reference models and tools for Cloud TPUs.

translate-1 icon translate-1

Useful localization tools with Python API for building localization & translation systems

tswift-detection icon tswift-detection

Using the TensorFlow Object Detection API and Cloud ML Engine to build a Taylor Swift detector

visual-peps icon visual-peps

☂️ All Python Enhancement Proposals written in short easy-to-grasp form

xray-16 icon xray-16

X-Ray Engine 1.6 expansion. Join our IRC channel #openxray on freenode.org, or our Discord channel: https://discord.gg/sjRMQwv

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