A set of tools for implementing triplet networks in tensorflow/keras. The toolbox includes a set of loss functions that plug in to tensorflow/keras neural network seamlessly, transforming your model into a one-short learning triplet model
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Release files for triplet-tools 0.2.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| triplet-tools-0.2.3.tar.gz | 10.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| triplet_tools-0.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.3 kB
Release files / triplet-tools-0.2.3.tar.gz
| Download URL | triplet-tools-0.2.3.tar.gz |
|---|---|
| Size | 10.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.11.7
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Release files / triplet_tools-0.2.3-py3-none-any.whl
| Download URL | triplet_tools-0.2.3-py3-none-any.whl |
|---|---|
| Size | 5.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.11.7
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Security for triplet-tools 0.2.3
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