SPD Learn v0.1.0 Release Notes:

• 7 Neural Network Models: SPDNet, EEGSPDNet, TSMNet, TensorCSPNet, PhaseSPDNet, GREEN, MAtt
• 10+ SPD Layers: BiMap, ReEig, LogEig, ExpEig, SqrtEig, InvSqrtEig, PowerEig, VecMat, CovLayer, Shrinkage
• 5 Batch Normalization variants: SPDBatchNorm, TSMBatchNorm, AdaMomSPDBatchNorm, DomainSPDBatchNorm, TrackingMeanBatchNorm
• 4 Riemannian Metrics: Affine Invariant Riemannian (AIRM), LogEuclidean, LogCholesky, BuresWasserstein
• Functional Operations: Matrix operations, geodesics, statistics, parallel transport, covariance estimation
• Documentation: Installation guide, user guide, theory section, API reference, examples gallery
• Technical specs: Python 3.11-3.13, PyTorch 2.0+, BSD-3-Clause license
• Acknowledgments: Inria, CNRS, CEA, Université Paris-Saclay, ATR, USMB, UCSD
• Citation: BibTeX entry included

The file follows the https://keepachangelog.com/ format and is ready for your v0.1.0 release.