Data and Network Introspection Kit (DNIKit)
Data and Network Introspection Kit (DNIKit) uses the activations at hidden layers of a neural network to understand the network’s behavior and how it is learning, with respect to a given dataset. DNIKit algorithms can be applied to many problems, including network compression, failure and bias analysis, dataset QA, and more.
To learn more, please see the docs.
Installation
pip install dnikit
See available installation extensions also in the docs.
1 maintainer
Metadata
1 maintainer
Release files for dnikit 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dnikit-2.0.0.tar.gz | 126.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dnikit-2.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 259.9 kB
Release files / dnikit-2.0.0.tar.gz
| Download URL | dnikit-2.0.0.tar.gz |
|---|---|
| Size | 126.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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python-requests/2.31.0
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Release files / dnikit-2.0.0-py3-none-any.whl
| Download URL | dnikit-2.0.0-py3-none-any.whl |
|---|---|
| Size | 133.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
python-requests/2.31.0
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