Documentation

A generalization-first, multi-task evaluation suite for electromagnetic signal foundation models.

A configurable framework for generating synthetic, multimodal RF datasets for foundation-model training and evaluation.

A PyTorch-native system for learning from radio-frequency (RF) in-phase and quadrature (I/Q) signals.

An open, profile-free format and Python library for immutable, indexed storage of large-scale multidimensional signal records.