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Neural robust state space models in PyTorch
pip install neural-ssm
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.2>=1.23>=4.66>=3.7>=0.6>=4.5>=0.4.26>=0.4.26The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.
neural-ssm publishes 1 wheel and 1 source archive for version 0.42. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 20 releases with files. The first dated release is ; 20 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .