Modular Toolkit for Data Processing (MDP): A Python Data Processing Framework

By Tiziano Zito, Niko Wilbert, Laurenz Wiskott, Pietro Berkes. 2008

Subfields: Natural Language Processing

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Petr Sojka
2. Radim Rehurek
3. Laurenz Wiskott
4. Alexandre Passos
5. Alexandre Gramfort
6. Gilles Louppe
7. Robert A. Legenstein
8. Tiziano Zito

Citations in the corpus

• Scikit-learn: Machine Learning in Python (2011, methodology): “, 2009), MDP (Zito et al., 2008) and Shogun (Sonnenburg et al.”
• Reinforcement Learning on Slow Features of High-Dimensional Input Streams (2010, methodology): “All required building blocks for the hierarchical network are available in the ‘‘Modular toolkit for Data Processing’’ (MDP) library [33].”
• An extension of slow feature analysis for nonlinear blind source separation (2014, methodology): “The simulations were done in PYTHON using the modular data processing toolbox (MDP) developed by Zito et al. (2008).”
• Software Framework for Topic Modelling with Large Corpora (2010, methodology): “, 2002), Mallet (McCallum, 2002), MDP (Zito et al., 2008), Nieme (Maes, 2009), Gate (Cunningham, 2002), Orange (Demšar et al.”