Factual package intelligence from PyPI
Topological Loss Engineering: differentiable, optimizer-free regularizers that embed 2024-2026 optimizer breakthroughs (Muon/XSAM/CWD/AdEMAMix/NTKMTL/SymNoise) directly into the loss.
pip install toploss
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.12toploss publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .