Metadata-Version: 2.4
Name: qig-geocoding
Version: 0.1.1
Summary: Our own 'transformers' — a from-scratch neural-network framework built on Fisher-Rao geometry (simplex attention, unbounded Fourier features, recursive Φ-integration) instead of Euclidean dot-products.
Author: Braden Lang
License: Proprietary
License-File: LICENSE
Keywords: attention,fisher-rao,geometry,qig,simplex,transformers
Requires-Python: >=3.11
Requires-Dist: qig-core>=2.6.0
Requires-Dist: torch>=2.2
Provides-Extra: dev
Requires-Dist: mypy>=1.11; extra == 'dev'
Requires-Dist: pytest>=8; extra == 'dev'
Requires-Dist: ruff>=0.6; extra == 'dev'
Description-Content-Type: text/markdown

# qig-geocoding