In our work, we present CasFusionNet, a novel cascaded network for point cloud semantic scene completion by dense feature fusion.
In this paper, we introduce Katib: a scalable, cloud-native, and production-ready hyperparameter tuning system that is agnostic of the underlying machine learning framework.
Previous database systems extended their SQL dialect to support ML.
metric-learn is an open source Python package implementing supervised and weakly-supervised distance metric learning algorithms.
The autoplotly package provides functionalities to automatically generate interactive visualizations for many popular statistical results supported by ggfortify package with plotly and ggplot2 style.
1 code implementation • 8 Aug 2017 • Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie
Our focus is on simplifying cutting edge machine learning for practitioners in order to bring such technologies into production.
Local Fisher discriminant analysis is a localized variant of Fisher discriminant analysis and it is popular for supervised dimensionality reduction method.