Stephanie Marker's Projects
Apache Atlas
Distributed training with Batch AI
Workshop to run YOLOv3 object detection with Azure BatchAI
Sample code showing how to perform distributed training of a Fizyr Keras-RetinaNet model on the COCO dataset using Horovod on Batch AI
Hubot Chatbot with Slack as an Adapter and the Spotify API
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Docker images adjusted for running Faster RCNN CNTK examples.
Structured Spark Streaming workshop for Codess 2018
Benchmark to compare serialization and compression algorithms
Convolutional Neural Networks
Contains training and prediction scripts for CNTK Faster-RCNN Object Detection
Topic Modelling for Humans
A toolkit for developing and comparing reinforcement learning algorithms.
The Interpret Community extends Interpret repo with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
ML materials for Americas East offsite
Sample template for generating plots and code separately from jupyter notebooks using nbconvert
MLOps using Azure ML Services and Azure DevOps
www.stephaniemarker.com
python meetup slides
Repository for all parts of the Fortis architecture
A Python CLI for Batch AI
my implementations of exercises in udacity's pytorch notebooks
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.