liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
Train models that work with continuous-time data using specialized neural network techniques in Python.
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liquid_time_constant_networks has 1.8k stars on GitHub. It has been forked 336 times. liquid_time_constant_networks is written mainly in Python. It has been in active development since 2020. liquid_time_constant_networks is available under the Apache-2.0 license. Its main topics are deep-learning, liquid-neural-networks, recurrent-neural-networks, sequence-modeling.
What is liquid_time_constant_networks?
Code Repository for Liquid Time-Constant Networks (LTCs)
Is liquid_time_constant_networks open source?
liquid_time_constant_networks is an open-source project. It is released under the Apache-2.0 license.
Is liquid_time_constant_networks free?
Yes. liquid_time_constant_networks is free and open source — you can use, modify and self-host it.
What license does liquid_time_constant_networks use?
liquid_time_constant_networks is available under the Apache-2.0 license.
What language is liquid_time_constant_networks written in?
liquid_time_constant_networks is written mainly in Python.
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