ML Anthology

MLOSS 2016

9 papers

CVXPY: A Python-Embedded Modeling Language for Convex Optimization Steven Diamond, Stephen Boyd
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fastFM: A Library for Factorization Machines Immanuel Bayer
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Harry: A Tool for Measuring String Similarity Konrad Rieck, Christian Wressnegger
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JCLAL: A Java Framework for Active Learning Oscar Reyes, Eduardo Pérez, María del Carmen Rodríguez-Hernández, Habib M. Fardoun, Sebastián Ventura
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LIBMF: A Library for Parallel Matrix Factorization in Shared-Memory Systems Wei-Sheng Chin, Bo-Wen Yuan, Meng-Yuan Yang, Yong Zhuang, Yu-Chin Juan, Chih-Jen Lin
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Megaman: Scalable Manifold Learning in Python James McQueen, Marina Meilă, Jacob VanderPlas, Zhongyue Zhang
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MEKA: A Multi-label/Multi-Target Extension to WEKA Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes
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MLlib: Machine Learning in Apache Spark Xiangrui Meng, Joseph Bradley, Burak Yavuz, Evan Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, Db Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar
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Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches Jure Žbontar, Yann LeCun
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