This service annotates chemical named entities using the open source OSCAR4 tagger. As well as the names of the detected entities the tagger also returns their structure in...

A Python library to explain machine learning models by hierarchically aggregating single explanations of its predictions. Explanations are provided as decision rules...

The graph ensemble package contains a set of methods to build fitness based graph ensembles from marginal information. These methods can be used to build randomized ensembles...

NuMeTris is a package for Maximum-Entropy models for triadic pattern detection. It contains known models such as DBCM and RBCM for binary motif analysis, and contain mixture...

The method implements a maximum entropy model tailored for weighted bipartite graphs. This model incorporates constraints on degree sequences/topology and strength sequences.

This package contains classes and functions for the structural analysis of ego networks. An ego network is a simple model that represents a social network from the point of...

This method reconstructs socio-economic and financial networks from partial information, i.e., the knowledge of intrinsic node-specific properties and of the number of...

F1-Communities is a novel approach to evaluate community detection algorithms on ground truth. It leverages precision and recall to provide a scalable measure that allows to...

DEMON is a local-first approach to community discovery, able to unveil the modular organization of real complex networks. This is achieved by democratically letting each node...

QuickRank is an efficient Learning to Rank toolkit providing multi-threaded C++ implementation of several algorithms: GBRT, LambdaMART, Oblivious GBRT / LambdaMART,...

This method reconstructs a bipartite network by using the Maximum Entropy principle. This method is useful to assess aggregated and single bank's systemicness and vulnerability...

This method constructs a causality network by implementing Granger-causality tests for extreme events in multivariate time series.

ArchiveSpark is an Apache Spark framework for easy data access, processing, extraction as well as derivation for Web archives and archival collections. It has a simple and...

Framework to model and analyze multidimensional networks

Network Diffusion Library REST Service. This project offers a REST interface for the NDlib Python library.

This tool creates a dictionary with inverse document frequency (idf) values from the Google NGrams dataset.

Ndlib is a Network diffusion library that contains a set of models to simulate disease spreading and opinion dynamics.

Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed...

python library to unify soccer data and algorithms

Instagram is currently the social media platform most associated with online images (and their analysis), but images from other platforms also can be collected and grouped,...