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 377 (0 this week)
Watchers 27 (0 this week)
Forks 69
License apache-2.0
Ranking

RepositoryStats indexes 598,157 repositories, of these crazydonkey200/neural-symbolic-machines is ranked #113,309 (81st percentile) for total stargazers, and #81,871 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #19,202/120,073.

crazydonkey200/neural-symbolic-machines is also tagged with popular topics, for these it's ranked: deep-learning (#2,473/8538),  tensorflow (#803/2257),  reinforcement-learning (#353/1340),  deep-reinforcement-learning (#111/368)

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.

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0 commits on the default branch (master) since jan '22

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updated: 2024-12-09 @ 08:14am, id: 139549274 / R_kgDOCFFaWg