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.

tensorflow

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384 Stars

69 Forks

384 Watchers

Python Language

apache-2.0 License

100 SrcLog Score

Cost to Build

$4.45M

Market Value

$9.73M

How is this calculated?

Growth over time

8 data points · 2021-08-01 → 2026-04-01

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What is the crazydonkey200/neural-symbolic-machines GitHub project? Description: "Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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