AI Scan
This is a scanner that will scan your AI models for problems. Currently it focuses on bias testing. It is currently pre-alpha.
How to Use
First install it:
pip install aiscan
Run it in this manner (currently supports models from HuggingFace’s repository):
aiscan --huggingface roberta-base --task fill-mask
Here is another example with a different bias task.
aiscan --huggingface cross-encoder/nli-distilroberta-base --task zero-shot-classification
That’s it for now. More will come.
Future Work
More bias tests. More metrics for bias testing based on the research in the field.
Integration with other types of testing (eg. adversarial robustness)
More kinds of models besides HuggingFace models. We are especially interested in MLFlow integration.
Documentation.
Please contribute if you can. Help is always helpful.
License
Apache
Credit
A project of IQT Labs.
Release files for aiscan 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aiscan-0.1.0.tar.gz | 4.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aiscan-0.1.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 12.7 kB
Release files / aiscan-0.1.0.tar.gz
| Download URL | aiscan-0.1.0.tar.gz |
|---|---|
| Size | 4.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
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Release files / aiscan-0.1.0-py2.py3-none-any.whl
| Download URL | aiscan-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 8.6 kB |
| Tags | Python 2 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? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.13
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