QuaPy is an open source framework for quantification (a.k.a. supervised prevalence estimation, or learning to quantify) written in Python. read more of QuaPy

A collection of Python methods intended as a practical tool for fetching and preprocessing data related to climate and weather conditions, useful in climate science studies. Developed by AMIGO s.r.l. for the ARIA project, part of the I-NERGY 2nd Open Cal... read more of Toolkit for the retrieval and preprocessing of climate and meteorological data

Apache StreamPipes is a self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams. The Apache StreamPipes Python Client is a new library targeted at data scientists, which helps to easily interact... read more of Apache StreamPipes Python Client

This jupyter notebook is how a prediction system for heat energy demand was implemented in context of I-NERGY project. read more of I-NERGY Heat Forecasting

This jupyter notebook is how a prediction system for cold energy demand was implemented in context of I-NERGY project. read more of I-NERGY Cold Forecasting

This jupyter notebook is how a decision support system (DSS) was implemented in context of I-NERGY project. read more of I-NERGY Heat Decision

This jupyter notebook is how a decision support system (DSS) was implemented in context of I-NERGY project. read more of I-NERGY Cold Decision

Diffprivlib is a general-purpose library for experimenting with, investigating and developing applications in, differential privacy. read more of Diffprivlib: The IBM Differential Privacy Library

A set of NiFi templates in XML format together with python scripts that serve as a starting point for creating your own DataFlow pipeline to collect data for ML/DL Models training and testing. read more of NiFi Dataflow templates and scripts

The Unified Planning Framework (UPF) library makes it easy to formulate planning problems and to invoke automated planners. read more of Unified Planning Framework