Search Results for author: Allen Lavoie

Found 2 papers, 1 papers with code

TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning

1 code implementation • 27 Feb 2019 • Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai

TensorFlow Eager is a multi-stage, Python-embedded domain-specific language for hardware-accelerated machine learning, suitable for both interactive research and production.

BIG-bench Machine Learning

187,312

Paper
Code

How to show a probabilistic model is better

no code implementations • 11 Feb 2015 • Mithun Chakraborty, Sanmay Das, Allen Lavoie

We present a simple theoretical framework, and corresponding practical procedures, for comparing probabilistic models on real data in a traditional machine learning setting.

BIG-bench Machine Learning

Paper
Add Code

Cannot find the paper you are looking for? You can Submit a new open access paper.