API design for machine learning software: experiences from the scikit-learn project

OpenMP: an industry standard API for shared-memory programming

L. Dagum and R. Menon · 1998

Earlier work this paper cites.

An open graph visualization system and its applications to software engineering

E. R. Gansner and S. C. North · 2000

Earlier work this paper cites.

Orange: From experimental machine learning to interactive data mining

J. Demšar, B. Zupan, G. Leban, and T. Curk · 2004

Earlier work this paper cites.

Matplotlib: A 2d graphics environment

J. D. Hunter · 2007

Earlier work this paper cites.

IPython: a system for interactive scientific computing

F. Perez and B. E. Granger · 2007

Earlier work this paper cites.

LIBLINEAR: A library for large linear classification

R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin · 2008

Earlier work this paper cites.

Pmml: An open standard for sharing models

A. Guazzelli, M. Zeller, W.-C. Lin, and G. Williams · 2009

Earlier work this paper cites.

The WEKA data mining software: an update

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten · 2009

Cited alongside, same era.

Large scale learning to rank

D. Sculley · 2009

Cited alongside, same era.

Coders at Work: Reflections on the Craft of Programming

P. Seibel · 2009

Cited alongside, same era.

Feature hashing for large scale multitask learning

K. Weinberger, A. Dasgupta, J. Langford, A. Smola, and J. Attenberg · 2009

Cited alongside, same era.

Software framework for topic modelling with large corpora

R. Řehůřek and P. Sojka · 2010

Cited alongside, same era.

Cython: the best of both worlds

S. Behnel, R. Bradshaw, C. Citro, L. Dalcin, D. S. Seljebotn, and K. Smith · 2011

Cited alongside, same era.

Scikit-learn: Machine learning in Python

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011

Later among the works it cites.

The NumPy array: a structure for efficient numerical computation

S. van der Walt, S. C. Colbert, and G. Varoquaux · 2011

Later among the works it cites.

Random search for hyper-parameter optimization

J. Bergstra and J. Bengio · 2012

Later among the works it cites.

Introduction to astroML: Machine learning for astrophysics

J. Vanderplas, A. Connolly, Ž. Ivezić, and A. Gray · 2012

Later among the works it cites.

Block coordinate descent algorithms for large-scale sparse multiclass classification

M. Blondel, K. Seki, and K. Uehara · 2013

Closest in time.

Python scientific lecture notes, 2013

V. Haenel, E. Gouillart, and G. Varoquaux · 2013