accel-brain-code
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learnin
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Free · no card · unsubscribe anytimeThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learnin
accel-brain-code has 327 stars on GitHub. It has been forked 91 times. accel-brain-code is written mainly in Python. It has been in active development since 2017. accel-brain-code is available under the GPL-2.0 license. Its main topics are auto-encoder, automatic-summarization, combinatorial-optimization, deep-learning.
What is accel-brain-code?
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learnin
Is accel-brain-code open source?
accel-brain-code is an open-source project. It is released under the GPL-2.0 license.
Is accel-brain-code free?
Yes. accel-brain-code is free and open source — you can use, modify and self-host it. Its GPL-2.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does accel-brain-code use?
accel-brain-code is available under the GPL-2.0 license.
What language is accel-brain-code written in?
accel-brain-code is written mainly in Python.
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