claudio-lucchese
Associate Professor with the Ca’ Foscari University of Vencie. Topics of interest: data mining, information retrieval, high performance computing.
Ca' Foscari University of Venice and @hpclabPisa
Pinned Repositories
claudio-lucchese.github.io
Claudio Lucchese | Associate Professor @ UniVe
IntroCoding
Repository for Introduction to Coding
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
vectorized-quickscorer
Official repository of Vectorized Quickscorer: Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles.
treant
LtR-Tutorial
Efficiency/Effectiveness Trade-offs in Learning to Rank
quickrank
Official repository of QuickRank: A C++ suite of Learning to Rank algorithms.
quickscorer
Official repository of Quickscorer: a fast algorithm to rank documents with additive ensembles of regression trees.
rankeval
Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.
claudio-lucchese's Repositories
claudio-lucchese/claudio-lucchese.github.io
Claudio Lucchese | Associate Professor @ UniVe
claudio-lucchese/IntroCoding
Repository for Introduction to Coding
claudio-lucchese/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
claudio-lucchese/vectorized-quickscorer
Official repository of Vectorized Quickscorer: Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles.