TAGTorch
A comprehensive suite of tools for analyzing and leveraging symmetry, equivariance, and topological properties in PyTorch deep learning models
Area: Artificial intelligence
CASS member: LEADS
Description
Topology, Algebra, and Geometry Torch (TAGTorch) is an open-source PyTorch library that provides reusable implementations of geometry-, topology-, and symmetry-based methods for machine learning. The library brings together tools for building mathematically informed neural networks as well as analyzing datasets and trained models through a unified, PyTorch-native interface.
Target audience
TAGTorch is designed for both machine learning researchers and domain scientists interested in incorporating mathematically grounded methods into existing PyTorch workflows without requiring expertise in computational topology, differential geometry, or group theory.
License: BSD-2-Clause