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.
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Free · no card · unsubscribe anytimeNeural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
neural-symbolic-machines has 385 stars on GitHub. It has been forked 68 times. neural-symbolic-machines is written mainly in Python. It has been in active development since 2018. neural-symbolic-machines is available under the Apache-2.0 license. Its main topics are deep-learning, deep-reinforcement-learning, program-synthesis, reinforcement-learning.
What is 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.
Is neural-symbolic-machines open source?
neural-symbolic-machines is an open-source project. It is released under the Apache-2.0 license.
Is neural-symbolic-machines free?
Yes. neural-symbolic-machines is free and open source — you can use, modify and self-host it.
What license does neural-symbolic-machines use?
neural-symbolic-machines is available under the Apache-2.0 license.
What language is neural-symbolic-machines written in?
neural-symbolic-machines is written mainly in Python.
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