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Hi, I'm Stephanie 👋

I'm a full-stack developer specialized in ml ops currently living in Arlington, MA.

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Things I code with

AWS Azure Python Github Actions Docker Postgres Redshift Sagemaker TypeScript React GraphQL

Stephanie Marker's Projects

batchai_retinanet_horovod_coco icon batchai_retinanet_horovod_coco

Sample code showing how to perform distributed training of a Fizyr Keras-RetinaNet model on the COCO dataset using Horovod on Batch AI

chattybot icon chattybot

Hubot Chatbot with Slack as an Adapter and the Spotify API

cntk icon cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

codess2018 icon codess2018

Structured Spark Streaming workshop for Codess 2018

faster-rcnn icon faster-rcnn

Contains training and prediction scripts for CNTK Faster-RCNN Object Detection

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

interpret-community icon interpret-community

The Interpret Community extends Interpret repo with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

jupyter-githook-sample icon jupyter-githook-sample

Sample template for generating plots and code separately from jupyter notebooks using nbconvert

spark-infotheoretic-feature-selection icon spark-infotheoretic-feature-selection

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

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