Francesco Fabbri (FraFabbri)

FraFabbri

Geek Repo

Company:Spotify

Location:Barcelona, Spain

Home Page:frafabbri.github.io

Twitter:@fra_fabbri

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Francesco Fabbri's starred repositories

DataDreamer

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

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chato-notes

A LaTeX package for notes / todo / questions / answers. Useful while writing academic papers

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dspy

DSPy: The framework for programming—not prompting—foundation models

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RS-BGExplainer

Explanation of recommendations in bipartite graph

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HyperNets

Hypercomplex Neural Networks with PyTorch

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pytorch_geometric

Graph Neural Network Library for PyTorch

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floweaver

View flow data as Sankey diagrams

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storage.portale

Ricerca App

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cornac

A Comparative Framework for Multimodal Recommender Systems

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gcmc

Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)

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GraphSmote

Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021

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awesome-mlss

List of summer schools in machine learning + related fields across the globe

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GNN4Traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

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PairwiseFairRepresentations

Operationalizing Individual Fairness with Pairwise Fair Representations

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iFair

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making

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RePBubLik

Code repository of the paper.

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QGAN

Official PyTorch repository for Quaternion Generative Adversarial Networks.

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QVAE

Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).

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gomorra-sql

SQL made uagliò.

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shifterator

Interpretable data visualizations for understanding how texts differ at the word level

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uncertainty_modeller

Machine learning library for uncertainty estimation of black-box classification systems

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absorbing-centrality

An implementation of the absorbing random-walk centrality

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radicalization_youtube

Code for the paper "Auditing Radicalization Pathways on YouTube" (FAT* 2020)

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stat453-deep-learning-ss20

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

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fliptest

Code for the paper "FlipTest: Fairness Testing via Optimal Transport", presented at the ACM Conference on Fairness, Accountability, and Transparency, 2020.

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