Nicola Tonellotto (tonellotto)

tonellotto

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Company:ISTI-CNR

Location:Pisa

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Nicola Tonellotto's repositories

Information-Retrieval

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

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cnnimageretrieval-pytorch

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

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faiss_tips

Some useful tips for faiss

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pytorch-Deep-Learning

Deep Learning (with PyTorch)

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programming-ebooks

These are all the programming ebooks that I have collected.

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nanopq

Pure python implementation of product quantization for nearest neighbor search

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consistent_weighted_sampling

Software of 0-bit Consistent Weighted Sampling

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terrier-ef

Elias-Fano compression for Terrier 5

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CWS

Implementation of Consistent Weighted Sampling (CWS), a similarity-preserving hashing technique for weighted Jaccard similarity

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transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

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mathematical-python

Introduction to Mathematical Computing with Python and Jupyter

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ReQue

A Benchmark Workflow and Dataset Collection for Query Refinement

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Optimal-Freshness-Crawl-Scheduling

Dataset and code for three Web crawling-related papers from SIGIR-2019, NeurIPS-2019. and ICML-2020.

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conversationalIR

Overview of datasets and venues relevant for conversational search.

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EloquentMicroML

Eloquent algorithms of Machine learning for microcontrollers

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teaching

Information Retrieval Courses @ TU Wien

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practical-python

Practical Python Programming (course by @dabeaz)

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cedr

Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.

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ThinkPython2

LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.

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HiBench

HiBench is a big data benchmark suite.

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git

Some (hopefully) ready-to-use notes to start working with Git.

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randomfun

Notebooks and various random fun

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academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

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TREC-2019-Deep-Learning

Website for the TREC Deep Learning Track 2019

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leaf

Leaf: A Benchmark for Federated Settings

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