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Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx2

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alexheat/README.md

I work full-time as a product manager on the Microsoft 365 Copilot team and studied data science at UC Berkeley. As a side-project, I mantain a Python package called PyLabel to help manage computer vision datasets. Check it out at https://github.com/pylabel-project/pylabel/.

I try to help people with object detection questions on Stack Overflow and build up my reputation:

profile for alexheat at Stack Overflow, Q&A for professional and enthusiast programmers

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  1. pylabel-project/pylabel pylabel-project/pylabel Public

    Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

    Python 321 57

  2. Random-User-Declarative-Agent- Random-User-Declarative-Agent- Public

    Sample declarative agent for Microsoft 365 Copilot using the public random user generator API https://randomuser.me/

    1

  3. spacy-aspect-extraction spacy-aspect-extraction Public

    Using the spaCy NLP library for aspect extraction from user generated online reviews.

    Jupyter Notebook

  4. Spark-Data-Pipeline Spark-Data-Pipeline Public

    An end-to-end data pipeline using Kafka, Spark, Presto and other services running in Docker containers.

    Python 2 1

  5. BigQuery BigQuery Public

    Sample queries and visualizations using Google BigQuery in a Python notebook.

    Jupyter Notebook

  6. Character-Recognition Character-Recognition Public

    Digit classification using K nearest neighbors and naive bayes models.

    Jupyter Notebook 1