Weight-Space Engineering (WSE)
A reproducible framework for programmatic and agent-driven neural network weight editing.
This release is a placeholder for the project's name and contains no functionality. The first functional release will be published together with the open-source release of the code.
WSE turns weight-space interventions into reproducible, auditable experiments:
- it inspects a model's weights and internal activations;
- it applies targeted edits as exact patches with before-and-after tensor hashes;
- it evaluates how the model's behavior changes;
- it runs agent-driven experiments under explicit budgets, with every action audited.
1 maintainer
Metadata
1 maintainer
Release files for wse 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| wse-0.0.1.tar.gz | 1.1 kB | Without provenance | Details for wse-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| wse-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for wse-0.0.1-py3-none-any.whl |
Total release size: 2.8 kB
Release files / wse-0.0.1.tar.gz
| Download URL | wse-0.0.1.tar.gz |
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| Size | 1.1 kB |
| Tags | Source |
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Release files / wse-0.0.1-py3-none-any.whl
| Download URL | wse-0.0.1-py3-none-any.whl |
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| Size | 1.8 kB |
| Tags | Python 3 |
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Security for wse 0.0.1
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