PyLandscape
Introduction
pylandscape is a Pytorch library for loss landscape analysis of neural networks. The library enables computing the following metrics:
NOTE: All the functionalities relative to the computation of the Hessian metrics have been embedded via PyHessian. If your interested in learning more about how these metrics are computed have a look to their Repository.
Usage
Install from Pip
You can install the library from pip:
pip install pylandscape
Metadata
Release files for pylandscape 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pylandscape-0.1.3.tar.gz | 15.0 kB | With provenance | Details for pylandscape-0.1.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pylandscape-0.1.3-py3-none-any.whl | Python 3 | none | any | Details for pylandscape-0.1.3-py3-none-any.whl |
Total release size: 33.8 kB
Release files / pylandscape-0.1.3.tar.gz
| Download URL | pylandscape-0.1.3.tar.gz |
|---|---|
| Size | 15.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / pylandscape-0.1.3-py3-none-any.whl
| Download URL | pylandscape-0.1.3-py3-none-any.whl |
|---|---|
| Size | 18.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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Transparency logSecurity for pylandscape 0.1.3
Provenance
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Attestation for pylandscape-0.1.3.tar.gz
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Apr 3, 2026.
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