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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380 Stars

69 Forks

380 Watchers

Python Language

apache-2.0 License

Cost to Build

$4.40M

Market Value

$14.42M

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2025-07-01

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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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