⚙️ artifact-torch
Declarative builder toolkit for reusable deep learning workflows.
📋 Overview
artifact-torch provides PyTorch integration for Artifact-ML.
It offers the tools to build reusable deep learning workflows declaratively.
It stands alongside:
artifact-core: a declarative interface for the computation of validation artifacts in ML experiments.artifact-experiment: experiment orchestration extension for building reusable validation workflows with integrated tracking.
🚀 Installation
Install the latest release from PyPI by running:
pip install artifact-torch
To install from source (e.g. for development, or to run the bundled demos), consult the getting started guide.
📚 Documentation
Documentation for artifact-torch is available at artifact-torch docs.
🤝 Contributing
Contributions are welcome!
Please consult our contribution guidelines document.
📄 License
This project is licensed under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for artifact-torch 0.1.5
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 |
|---|---|---|---|---|
| artifact_torch-0.1.5.tar.gz | 23.0 kB | With provenance | Details for artifact_torch-0.1.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| artifact_torch-0.1.5-py3-none-any.whl | Python 3 | none | any | Details for artifact_torch-0.1.5-py3-none-any.whl |
Total release size: 79.4 kB
Release files / artifact_torch-0.1.5.tar.gz
| Download URL | artifact_torch-0.1.5.tar.gz |
|---|---|
| Size | 23.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / artifact_torch-0.1.5-py3-none-any.whl
| Download URL | artifact_torch-0.1.5-py3-none-any.whl |
|---|---|
| Size | 56.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 19, 2026.
Transparency logSecurity for artifact-torch 0.1.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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Attestation for artifact_torch-0.1.5.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 19, 2026.
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