https://github.com/crazydonkey200/neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
https://github.com/crazydonkey200/neural-symbolic-machines

deep-learning deep-reinforcement-learning program-synthesis reinforcement-learning rnn semantic-parsing tensorflow

Last synced: 2 months ago
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Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

• Host: GitHub
• URL: https://github.com/crazydonkey200/neural-symbolic-machines
• Owner: crazydonkey200
• License: apache-2.0
• Created: 2018-07-03T08:03:37.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-11-21T20:59:23.000Z (about 2 years ago)
• Last Synced: 2024-08-04T10:01:13.138Z (6 months ago)
• Topics: deep-learning, deep-reinforcement-learning, program-synthesis, reinforcement-learning, rnn, semantic-parsing, tensorflow
• Language: Python
• Size: 53.5 MB
• Stars: 376
• Watchers: 27
• Forks: 69
• Open Issues: 4

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