2026-08-10T16:17:47Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:8448 2024-03-06T10:30:14Z ddc:004 open_access

Hey there's DALILA: a DictionAry LearnIng LibrAry Tozzo, Veronica D'Amario, Vanessa Barla, Annalisa Machine learning dictionary learning representation learning alternating proximal gradient descent parallel computing Dictionary Learning and Representation Learning are machine learning methods for decomposition, denoising and reconstruction of data with a wide range of applications such as text recognition, image processing and biological processes understanding. In this work we present DALILA, a scientific Python library for regularised dictionary learning and regularised representation learning that allows to impose prior knowledge, if available. DALILA, differently from the others available libraries for this purpose, is flexible and modular. DALILA is designed to be easily extended for custom needs. Moreover, it is compliant with the most widespread ML Python library and this allows for a straightforward usage and integration. We here present and discuss the theoretical aspects and discuss its strength points and implementation. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Veronica Tozzo and Vanessa D'Amario and Annalisa Barla 2018 Is Part Of OASIcs, Volume 60, 2017 Imperial College Computing Student Workshop (ICCSW 2017) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.ICCSW.2017.6 urn:nbn:de:0030-drops-84483 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICCSW.2017.6 eng https://creativecommons.org/licenses/by/3.0/legalcode