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Differentiable selected inverse (plus log-det, Gaussian sampling, and solve) for sparse block-structured SPD and non-symmetric matrices, via Gaussian belief propagation / the Takahashi recurrence.
pip install gabp-sparse-inv
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.2gabp-sparse-inv publishes 1 wheel and 1 source archive for version 0.3.3. Wheel platform tags: any.
Declared Python classifiers: 3.12, 3.13.
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 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .