https://github.com/naturomics/scan-tensorflow

A Tensorflow implementation of DeepMind's Symbol-Concept Association Network(SCAN: Learning Abstract Hierarchical Compositional Visual Concepts)
https://github.com/naturomics/scan-tensorflow

compositional-visual-concepts scan symbol-concept tensorflow

Last synced: about 1 year ago
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A Tensorflow implementation of DeepMind's Symbol-Concept Association Network(SCAN: Learning Abstract Hierarchical Compositional Visual Concepts)

• Host: GitHub
• URL: https://github.com/naturomics/scan-tensorflow
• Owner: naturomics
• License: apache-2.0
• Created: 2017-08-17T07:44:53.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2017-10-11T03:03:30.000Z (over 8 years ago)
• Last Synced: 2025-03-30T11:41:37.859Z (about 1 year ago)
• Topics: compositional-visual-concepts, scan, symbol-concept, tensorflow
• Language: Python
• Homepage:
• Size: 69.3 KB
• Stars: 38
• Watchers: 5
• Forks: 13
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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README

          
# SCAN in Tensorflow

[![Gitter](https://img.shields.io/gitter/room/nwjs/nw.js.svg?style=plastic)](https://gitter.im/SCAN-Tensorflow/Lobby)

[![Contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=plastic)](CONTRIBUTING.md)

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg?style=plastic)](https://opensource.org/licenses/Apache-2.0)

A Tensorflow implementation of DeepMind's Symbol-Concept Association Network ([SCAN: Learning Abstract Hierarchical Compositional Visual Concepts](https://arxiv.org/abs/1707.03389)).

SCAN is a framework for learning concepts paired with visual primitived. By teaching logical operators to SCAN, it even can learn to imagine new concepts from logical operators. See [the paper](https://arxiv.org/abs/1707.03389) and [DeepMind blog](https://deepmind.com/blog/imagine-creating-new-visual-concepts-recombining-familiar-ones/) for more details.



	



# Usage

## Prerequisites

* Python 3.4

* DeepMind Lab

* [Tensorflow 1.2](https://github.com/tensorflow/tensorflow/tree/r1.2)

This is my configuration, other versions might work, too. If don't, let me know.

It is worth mentioning that [the origin DeepMind Lab repo](https://github.com/deepmind/lab) hasn't been updated for months, and it doesn't support python3. On the other hand, I'm used to work on my Gentoo Linux with Python3. In order to make it work, I have forked this repo to [my github](https://github.com/naturomics/lab) and make it Gentoo and python3 supportable. If you are also using an unsupported platform or environment, see [here](https://github.com/naturomics/lab) for details.

## Instructions for runing

```shell

$ git clone https://github.com/naturomics/SCAN-tensorflow.git

$ cd SCAN-tensorflow

```

```shell

$ python main.py

```

# Results

# Author

Naturomics Liao - [@naturomics](https://github.com/naturomics)