51 citations · 77 across the 3 of their papers we have counts for
3 papers
cs.DC2017★ 17 cited
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks
Heng-Tze Cheng, Zakaria Haque, Lichan Hong +12
We present a framework for specifying, training, evaluating, and deploying machine learning models. Our focus is on simplifying cutting edge machine learning for practitioners in o…
cs.DC2016★ 51 cited
TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning
Yuan Tang
TF.Learn is a high-level Python module for distributed machine learning inside TensorFlow. It provides an easy-to-use Scikit-learn style interface to simplify the process of creati…
stat.AP2016★ 9 cited
lfda: An R Package for Local Fisher Discriminant Analysis and Visualization
Yuan Tang, Wenxuan Li
Local Fisher discriminant analysis is a localized variant of Fisher discriminant analysis and it is popular for supervised dimensionality reduction method. lfda is an R package for…