4 citations · 7 across the 3 of their papers we have counts for
3 papers
MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales
Mark Hamilton, Sudarshan Raghunathan, Ilya Matiach +13
We introduce Microsoft Machine Learning for Apache Spark (MMLSpark), an ecosystem of enhancements that expand the Apache Spark distributed computing library to tackle problems in D…
Flexible and Scalable Deep Learning with MMLSpark
Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala +11
In this work we detail a novel open source library, called MMLSpark, that combines the flexible deep learning library Cognitive Toolkit, with the distributed computing framework Ap…
Stepping Lazy Programs
Stephen Chang, John Clements, Eli Barzilay +1
Debugging lazy functional programs poses serious challenges. In support of the "stop, examine, and resume" debugging style of imperative languages, some debugging tools abandon laz…