Metadata-Version: 2.1
Name: tf-settransformer
Version: 0.3.0
Summary: 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
Author-email: David Ludwig <davidludwigii@gmail.com>
License: MIT License
        
        Copyright (c) 2020 Juho Lee
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
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        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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Project-URL: Homepage, https://github.com/DLii-Research/tf-settransformer
Project-URL: Bug Tracker, https://github.com/DLii-Research/tf-settransformer/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# 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](https://arxiv.org/abs/1810.00825).

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:

```bash
pip install tf-settransformer
```
