AIDApy

AI package for heliophysics providing machine learning and statistical methods for spacecraft data analysis

The Python package aidapy centralizes and simplifies access to spacecraft data from heliospheric missions, space physics simulations, advanced statistical tools, and Machine Learning/Deep Learning algorithms and applications. It provides a simple mechanism for downloading multi-dimensional time-series from various sources and analyzing them by extracting different meaningful statistics. The package includes four main sub-packages: Mission tool, Event search tool, Velocity distribution function tool, and Machine learning tool. It features easy data download from heliophysics missions, xarray data structures for statistical analysis, sophisticated event identification, multiple heliophysics use-cases ready to use, simple interface based on configuration files, easy mechanism to add custom metrics and datasets, visualization and logging of training/validation procedures, and optimization techniques such as Hyper-Parameter Optimization (HPO) and pruning.