Luca Di Liello (lucadiliello)

lucadiliello

Geek Repo

Company:Amazon Alexa

Location:San Francisco

Home Page:lucadiliello.github.io

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Luca Di Liello's repositories

pytorch-apple-silicon-benchmarks

Performance of PyTorch on Apple Silicon

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bleurt-pytorch

BLEURT implementation in PyTorch

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semantic-loss-pytorch

PyPSDD porting to Python 3 + PyTorch equivalent tree construction.

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compressed-dictionary

A dictionary which values are compressed to save memory.

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sweep-line-algorithm-python

Python2 Implementation of the Sweep Line Algorithm

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transformers-framework

SOTA training framework based on PyTorch Lightning and Transformers

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answer-selection

New datasets for Answer Sentence Selection task

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datasets_augmentation

Increment datasets size retrieving similar sentences from large sources

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jsonboard

Fancy interface for ML experiments based on JSONL log files.

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mrqa-lightning

MRQA test suite on PyTorch Lightning

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natural-question-answering

Natural Question dataset adapted to be a Question-Answering benchmark.

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bart-small

bart-small model release page

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python_regex_generator

A C++ program to generate Python regex from a list of strings

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asnq-challenging

ASNQ without trivial negative answers.

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italian-faq-dataset

FAQs in italian collected from companies websites worldwide.

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python-multiprocessing-generator

Easily process data from a generator in multicore and return another generator.

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wqa-multi-sentence-inference

This repository contains code used for our Multi Sentence Inference NAACL'22 paper.

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CCQA

CCQA A New Web-Scale Question Answering Dataset for Model Pre-Training

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datasets-news-please

Download Common Crawl data directly into an HuggingFace dataset.

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EnergonAI

Large-scale model inference.

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lucadiliello

Profile description

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lucadiliello.github.io

My personal website

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news-please

news-please - an integrated web crawler and information extractor for news that just works

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opus-dataset-parser

Parse OPUS parallel dataset to create multilingual parallel corpora ready to be used for NLP

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wikiextractor

A tool for extracting plain text from Wikipedia dumps

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