Nicola Tonellotto (tonellotto)

tonellotto

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Company:ISTI-CNR

Location:Pisa

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Nicola Tonellotto's repositories

bigdata

Code samples, summaries, cheatsheets and other study material for Hadoop MapReduce and Apache Spark

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clue

command line tool for Apache Lucene

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datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++

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deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)

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DND-5e-LaTeX-Template

A Small Template For 5e D&D Material

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docker-cheat-sheet

Docker Cheat Sheet

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FEL

Fast Entity Linker Toolkit for training models to link entities to KnowledgeBase (Wikipedia) in documents and queries.

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freebase-triples

A methodology to process triples data from the Freebase data dumps.

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generalized-kmeans-clustering

This project generalizes the Spark MLLIB Batch and Streaming K-Means clusterers in every practical way.

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google-interview-university

A complete daily plan for studying to become a Google software engineer.

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graph-bisection

Dhulipala, Laxman, et al. "Compressing Graphs and Indexes with Recursive Graph Bisection." arXiv preprint arXiv:1602.08820 (2016).

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hadoop-docker

Hadoop docker image

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homebrewery

Create authentic looking D&D homebrews using only markdown

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ircodecs

ircodecs: compresión de enteros aplicada a IR (para Python)

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java8-the-missing-tutorial

Java 8 for all of us

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JustEnoughScalaForSpark

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

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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.

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MDPRank

MDP for ranking, policy gradient

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modern-cpp-features

A cheatsheet of modern C++ language and library features.

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python-lecture

lecture slides for python

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RankingComplexLayouts

Repository for SIGIR'18 paper: "Ranking for Relevance and Display Preferences in Complex Presentation Layouts"

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RL

A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm

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SparkMaxFlow

Spark implementation of Ford-Fulkerson algorithm

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tagme

Entity Linking system by A3 lab

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TextSegmenter

A text segmenter based on unigram/bigram statistics in Java, inspired by the segmenter by Peter Norvig

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