Name: Interdisciplinary Physics Team (InPhyT)
Type: Organization
Bio: Complex Systems Modelling Group: Computational Social Science, Epidemiology and Neuroscience.
Twitter: In_Phy_T
Location: Turin, Italy
Blog: https://inphyt.github.io
Interdisciplinary Physics Team (InPhyT)'s Projects
Special repository containing the profile directory of InPhyT.
Agent-based modeling framework in Julia
Computational Social Science Project: "Algorithmic Bias in Echo Chamber Formation".
COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.
An optimized graphs package for the Julia programming language
BERT Sentiment Classification on the IMDb Large Movie Review Dataset.
Special repository hosting the InPhyT website.
Organization page
A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.
Dataset Analysis and CNN Models Optimization for Plant Disease Classification.
Data for the Quantitative Single-Neuron Modeling Competition (2007).
Data for the Quantitative Single-Neuron Modeling Competition (2009).
Kaggle Challenge: User Gender Classification on Reddit using NLP.
Ego Graph Analysis on Social Media.
Repository hosting all the resources and contents related to public talks conducted by InPhyT members.
A repository used to learn how to schedule code executions using GitHub Actions.
A Julia package to deconvolve ("unroll") moving averages of time series to get the original ones back.