MLOSS 2017

10 papers

Auto-WEKA 2.0: Automatic Model Selection and Hyperparameter Optimization in WEKA Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown

GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis Eemeli Leppäaho, Muhammad Ammad-ud-din, Samuel Kaski

GPflow: A Gaussian Process Library Using TensorFlow Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, James Hensman

Imbalanced-Learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning Guillaume Lemaître, Fernando Nogueira, Christos K. Aridas

JSAT: Java Statistical Analysis Tool, a Library for Machine Learning Edward Raff

openXBOW -- Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit Maximilian Schmitt, Björn Schuller

POMDPs.jl: A Framework for Sequential Decision Making Under Uncertainty Maxim Egorov, Zachary N. Sunberg, Edward Balaban, Tim A. Wheeler, Jayesh K. Gupta, Mykel J. Kochenderfer

Refinery: An Open Source Topic Modeling Web Platform Daeil Kim, Benjamin F. Swanson, Michael C. Hughes, Erik B. Sudderth

SnapVX: A Network-Based Convex Optimization Solver David Hallac, Christopher Wong, Steven Diamond, Abhijit Sharang, Rok Sosič, Stephen Boyd, Jure Leskovec

The MADP Toolbox: An Open Source Library for Planning and Learning in (Multi-)Agent Systems Frans A. Oliehoek, Matthijs T. J. Spaan, Bas Terwijn, Philipp Robbel, João V. Messias