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tgsmith61591/README.md

Hi there 👋

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About me

I'm Taylor Smith, Principal ML Engineer at Toyota Connected. In my day-to-day, I work on training and deploying Tensorflow language models into our Kubernetes cluster to support dozens of microservices. In my spare time, I actively maintain pmdarima, Python's leading equivalent to R's auto.arima.

Come work with me! Contribute to one of my active issues or check out careers at Toyota Connected.

Publications

Check out some of my publications and courses:

Pinned

  1. A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

    Python 933 173

  2. A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

    Python 53 11

  3. A suite of classification clustering algorithm implementations for Java. A number of partitional, hierarchical and density-based algorithms including DBSCAN, k-Means, k-Medoids, MeanShift, Affinity…

    Java 117 54

  4. Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

    Python 104 29

  5. A practical library for recommenders that wraps the Implicit package, providing various CV & model selection tools

    Python 2

343 contributions in the last year

Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Mon Wed Fri

Contribution activity

July 2021

Created 2 commits in 1 repository
Opened 1 pull request in 1 repository
alkaline-ml/pmdarima
1 merged
Reviewed 2 pull requests in 1 repository
4 contributions in private repositories Jul 19 – Jul 23

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