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.

Date Created 2018-07-03 (6 years ago)

Commits 98 (last one 3 years ago)

Stargazers 376 (0 this week)

Watchers 27 (0 this week)

Forks 69

License apache-2.0

Ranking

RepositoryStats indexes 609,392 repositories, of these crazydonkey200/neural-symbolic-machines is ranked #114,947 (81st percentile) for total stargazers, and #82,006 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #19,603/122,942.

crazydonkey200/neural-symbolic-machines is also tagged with popular topics, for these it's ranked: deep-learning (#2,492/8640), tensorflow (#807/2274), reinforcement-learning (#357/1367), deep-reinforcement-learning (#112/372)

Other Information

crazydonkey200/neural-symbolic-machines has 3 open pull requests on Github, 8 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 26 closed issues.

All Topics

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

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updated: 2025-01-21 @ 06:21pm, id: 139549274 / R_kgDOCFFaWg