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followers: 32.0 following: 11.0 repos: 110.0 gists: 0.0

Name: Andrew Stepin

Type: User

Company: @graffiti-ai

Bio: Technical writer, PM & Mentor. I write documentation for TensorFlow, PyTorch, Python. Care about AI/ML and developer tooling? Feel free to contribute!

Twitter: anstepin

Location: Dubai, UAE

Blog: 0101011.github.io

🐦 Follow me on X • 💻 Website • 💻 Hashnode Blog Articles

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

💻 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!

Andrew Stepin's Projects

freebsd

FreeBSD src tree (read-only mirror)

genetic-programming

Genetic programming for math equations with prefix expression trees.

gorgeous-plots

🌈 Gorgeous Plots and How To Use Them

hadoop

Mirror of Apache Hadoop

handwriting-recognition-ru

io

Datasets and filesystem extensions maintained by SIG-IO

keras-deep-learning

Code and deep learning use cases using Keras API taught by "Deep Learning with Python" by F. Chollet

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

langdata

Source training data for Tesseract for lots of languages

lingvo

Lingvo

linux

Linux kernel source tree

linux-1

Kernel source tree for Raspberry Pi Foundation-provided kernel builds. Issues unrelated to the linux kernel should be posted on the community forum at https://www.raspberrypi.org/forum

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

magenta-js

Magenta.js: Music and Art Generation with Machine Intelligence in the Browser

mlir

"Multi-Level Intermediate Representation" Compiler Infrastructure

mongo

The MongoDB Database

mongodb-pypi-clone

Quick PyPi clone with MongoDB schema implementation similar to the original service

natural-language-understanding-nodejs

:new: Demo code for the Natural Language Understanding Service.

neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

neuronblocks

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

nginx

An official read-only mirror of http://hg.nginx.org/nginx/ which is updated hourly. Pull requests on GitHub cannot be accepted and will be automatically closed. The proper way to submit changes to nginx is via the nginx development mailing list, see http://nginx.org/en/docs/contributing_changes.html