HOI : High-Performance Estimation of Higher-Order Interactions

HOI (Higher Order Interactions) is a Python package to go beyond pairwise interactions by quantifying the statistical dependencies between 2 or more units using information-theoretical metrics. The package is built on top of Jax allowing computations on CPU or GPU.

Familiar API

HOI provides a familiar Scikit-learn style API for ease of adoption by researchers and engineers.

Metrics

HOI provides cutting-edge and most up-to-date metrics to estimate higher-order interactions

Run Anywhere

The same code executes on multiple backends, including CPU, GPU, & TPU

Install hoi

Installation

List of functions

List of classes and functions

Examples

Examples

Get involved

If you want to contribute to HOI, please checkout the Developer Documentation

Funding

The HOI package has been supported by the Google Summer of Code 2023. We also acknowledge the A*Midex Foundation of Aix-Marseille University project “Hinteract” (AMX-22-RE-AB-071) and the EU’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreements No. 101147319 (EBRAINS 2.0 Project).

License

This project is licensed under the BSD 3-Clause License.