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Davide Rigoni's Projects

ban-vqa icon ban-vqa

Bilinear attention networks for visual question answering

conditionalcgvae icon conditionalcgvae

Conditional Constrained Graph Variational Autoencoders (CCGVAE) for Molecule Design

exoplanethuntingindeepspace icon exoplanethuntingindeepspace

Quick analysis with trees and a neural network to both the wine and the Kaggle dataset: Exoplanet Hunting in Deep Space

linqedin icon linqedin

A Qt project that implements MVC pattern, inheritance and polymorphism

master-thesis-presentation icon master-thesis-presentation

Presentation for "Weakly Supervised Visual-Textual Grounding based on Concept Similarity" (MS thesis at University of Padua, Italy) - PyTorch implementation: https://github.com/lparolari/weakvtg

moflow icon moflow

MoFlow: an invertible flow model for generating molecular graphs

molgallery icon molgallery

A Gradio component designed for displaying an interactive gallery of both 2D and 3D molecular structures.

openimages2coco icon openimages2coco

Convert Open Images annotations into MS Coco format to make it a drop in replacement

rankfusion-irproject icon rankfusion-irproject

Rank fusion project is about meta search and implements CombSUM, CombMAX, CombMNZ and ProbFuse algorithms with final evaluation

rgcvae icon rgcvae

RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design

sitesboard icon sitesboard

Site WCAG 2.0 accessible with 2 stars, built with Perl, XHTML 1.0, CSS, Javascript, XML, XML Schema, XSLT

sprm icon sprm

This repository contains the code used to produce the results reported in the paper: Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement.

tictactoe-aiproject icon tictactoe-aiproject

A Tic tac toe variant (noughts and crosses) that implements more than one algorithm of AI

tumflow icon tumflow

TumFlow: an AI model for predicting new anticancer molecules with a focus on the melanoma SK-MEL-28 cell line.

volta icon volta

[TACL 2021] Code and data for the framework in "Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs"

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