CONTRIBUTIONS

Individual Contributions:

Histogram

Let the numbers speak: number of commits per developer (last updated: 9. Nov 2014)

git log --format='%aN' | sort | uniq -c | sort -nr

   4325 Soeren Sonnenburg
   2280 Heiko Strathmann
   1546 Sergey Lisitsyn
    690 Viktor Gal
    560 Sebastian Henschel
    358 Fernando Iglesias
    265 iglesias
    265 Gunnar Raetsch
    226 Shashwat Lal Das
    218 Chiyuan Zhang
    213 Thoralf Klein
    177 lambday
    165 Evgeniy Andreev
    150 Wu Lin
    141 Jonas Behr
    134 Baozeng Ding
    129 Parijat Mazumdar
    116 Christian Widmer
     96 Abhijeet
     85 Fabio De Bona
     83 puffin444
     82 Roman Votyakov
     77 tklein23
     74 khalednasr
     69 Kevin
     57 Alesis Novik
     56 D. Lehmann
     48 Andre Noll
     46 van51
     44 pl8787
     44 Alexander Zien
     41 Justin Patera
     40 Björn Esser
     40 Alexander Binder
     38 Saurabh
     36 pluskid
     32 abinashpanda
     31 Michal Uricar
     28 Daniel Pyrathon
     27 hushell
     25 Kevin Hughes
     25 Christian Gehl
     24 Yuyu Zhang
     22 Konrad Rieck
     21 jiaolong
     20 Jakub Jirku
     19 Vojtech Franc
     19 [email protected]
     19 Soumyajit De
     17 ptizoom
     17 Evan Shelhamer
     15 Saurabh7
     15 Cheng Soon Ong
     13 Abinash Panda
     12 Torsten Werner
     12 Sunil Mahendrakar
     10 Siddharth Kherada
      9 cameron
      9 Andrew
      8 Marcin Copik
      8 Harshit Syal
      7 Philippe Tillet
      7 Abhinav Maurya
      6 Patrick Pletscher
      6 lionelc
      6 Koen van de Sande
      6 ahcorde
      5 root
      5 frank0523
      4 vipints
      4 vigsterkr
      4 Victor Sadkov
      4 Rafał Surowiecki
      4 Mikio Braun
      4 Miguel Angel Bautista
      4 M.A. Bautista
      4 hwl596
      4 heiko
      4 dhruv13j
      3 Ziyuan Lin
      3 Yaroslav Halchenko
      3 thereisnoknife
      3 monicadragan
      3 Matt Huska
      3 Hidekazu Oiwa
      2 ZhengyangL
      2 Wittawat Jitkrittum
      2 Vipin T Sreedharan
      2 Monique
      2 liqiang
      2 Jacob Walker
      2 Dhruv Jawali
      1 zhh210
      1 Vladimir Perić
      1 Vipin
      1 Steve Lianoglou
      1 Sergey Bartunov
      1 ryan
      1 rahul
      1 pl
      1 Peter Romov
      1 parijat
      1 Orion Poplawski
      1 Nightrain
      1 Nico Goernitz
      1 Matt Aasted
      1 Live session user
      1 lisitsyn
      1 Kyle McQuisten
      1 Kyle
      1 kislayabhi
      1 Josh Klontz
      1 jey1401
      1 jacobw
      1 itsuper7
      1 Ingvaras Merkys
      1 foulwall
      1 Elpmis Lee
      1 dmkorn
      1 deerishi
      1 Daniel Matthew Korn
      1 cwidmer
      1 Christoph Lampert
      1 Cesar Fuentes
      1 asia
      1 Ameer Ayoub
      1 AlexBinder
      1 Abhinav Agarwalla

Individual contributions

Alex J. Smola * the pr_loqo optimizer

Antoine Bordes * LaRank

Thorsten Joachims * SVMLight

Chih-Chung Chang and and Chih-Jen Lin * LibSVM

Xiang-Rui Wang and Chih-Jen Lin * LIBLINEAR

Thomas Serafini, Luca Zanni, Gaetano Zanghirati * the Gradient Projection Decomposition Technique (GPDT) - SVM

Vikas Sindhwani * SVM-lin: Fast SVM Solvers for Supervised and Semi-supervised Learning

Vojtech Franc * Generalized Nearest Point Problem Solver based L2 (slacks) SVM * Optimized Cutting Plane Support Vector Machines (Ocas)

Jean-Philippe Vert and Hiroto Saigo * Local Alignment Kernel

Leon Bottou * Stochastic Gradient Descent (SGD) SVM

Marius Kloft * 2-norm and q-norm MKL * SMO based true Multi-Class SVM

Alexander Zien * Newton based q-norm MKL * POIM code for WD kernels

Christian Gehl * Distance Metrics

Christian Widmer * Dual and Multitask Learning * Serialization support

Jonas Behr * Structured Learning

Elpmis Lee * Translation of the documentation to Chinese

Baozeng Ding * Support for modular java, c#, ruby, lua interfaces

Shashwat Lal Das * Streaming / Online Feature Framework for SimpleFeatures, SparseFeatures, StringFeatures, SGD-QN, Online SGD, Online Liblinear, Online Vowpal Vabit

Heiko Strathmann * Model selection/Cross-validation for arbitrary Machines * Statistics module * Subset support in features * Various bugfixes and structural improvements * Serialization improvements and fixes/ Migration framework * Machine Locking for precomputed kernel matrices * Statistical hypothesis testing framework / Kernel Two-Sample/Independence tests

Alesis Novik * Gaussian Mixture Models

Evgeniy Andreev: * FibonacciHeap * Python 3 support * CoverTree * HashSet

Justin Patera * Ruby examples

Daniel Korn * C# examples

Fernando José Iglesias Garcia * Generic multiclass OvO training * Quadratic Discriminant Analysis

J. Liu, S. Ji and J. Ye * SLEP: A Sparse Learning Package C and ported code

J. Zhou, J. Chen and J. Ye * MALSAR: Multi-tAsk Learning via StructurAL Regularization ported code