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Vittorio Torri's Projects

clinkart-2023-polimi icon clinkart-2023-polimi

Models developed for the participation to the CLinkaRT task of the EVALITA 2023 challenge

ecco icon ecco

Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).

gpt-2-simple icon gpt-2-simple

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

imodelsx icon imodelsx

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

ing-sw-2019-20 icon ing-sw-2019-20

Progetto di ingegneria del software, implementazione del gioco da tavolo Adrenalina con architettura client-server MVC, comunicazione socket e RMI, CLI e GUI

neuralnetworkschallenges icon neuralnetworkschallenges

Three small projects for the course of Artificial Neural Networks and Deep Learning @ Polimi, A.Y. 2020/2021

pubtator_loader icon pubtator_loader

A Python ๐Ÿ package to load PubTator Documents ๐Ÿงพ, tokenize and convert them to BILUO Format.

ssd_keras icon ssd_keras

A Keras port of Single Shot MultiBox Detector

synthetic_hpi_ner icon synthetic_hpi_ner

This repository contains the supplementary data and codes for the paper: Are Synthetic Clinical Notes Useful for Real Natural Language Processing Tasks: A Case Study on Clinical Entity Recognition

text2graphapi icon text2graphapi

Python library to convert documents into a graph-based representation. Original code is from versione 0.2.0 https://pypi.org/project/text2graphapi/ (no github repo available for that)

tner icon tner

Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"

transformer-explainability icon transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

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