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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:

Taylor G Smith's Projects

addons icon addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

apriori icon apriori

Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules

bear icon bear

Streamline python project creation, including setup scripts, CI/CD pipelines & documentation

clust4j icon clust4j

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 Propagation, HDBSCAN and more.

datatableutils icon datatableutils

A class "DataTableWritable" which will render a formatted C# DataTable in the console

deepqa icon deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

giovanni icon giovanni

Montecarlo simulations for shiny hunters

h2o-3 icon h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)

icml2016 icon icml2016

Notes, demos and lessons from ICML 2016.

icml2017 icon icml2017

These are notes I took, and code I wrote RE: presentations given at ICML 2017, Sydney.

implicit icon implicit

Fast Python Collaborative Filtering for Implicit Datasets

pewpew icon pewpew

Cool utilities for writing better, more efficient code

reclab icon reclab

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

seq2seq icon seq2seq

Sequence to Sequence Learning with Keras

serving icon serving

A flexible, high-performance serving system for machine learning models

silhouetter icon silhouetter

A function to compute a Euclidean silhouette score to assess clustering efficacy.

skoot icon skoot

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.

skutil icon skutil

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

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