Set Transformer Framework
An unofficial implementation of the Set Transformer framework in Tensorflow/Keras based on the paper: Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks.
The official pytorch repository is available at: https://github.com/juho-lee/set_transformer.
Installation
The set transformer framework can be installed by executing the following command:
pip install tf-settransformer
Metadata
Release files for tf-settransformer 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tf-settransformer-0.3.1.tar.gz | 6.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tf_settransformer-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.7 kB
Release files / tf-settransformer-0.3.1.tar.gz
| Download URL | tf-settransformer-0.3.1.tar.gz |
|---|---|
| Size | 6.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.8.15
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Release files / tf_settransformer-0.3.1-py3-none-any.whl
| Download URL | tf_settransformer-0.3.1-py3-none-any.whl |
|---|---|
| Size | 6.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.15
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