loss-of-plasticity | Contains the implementation of continual supervised learning problem where we can show loss of plast

 by   shibhansh Python Version: Current License: No License

kandi X-RAY | loss-of-plasticity Summary

kandi X-RAY | loss-of-plasticity Summary

loss-of-plasticity is a Python library. loss-of-plasticity has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This repository contains the implementation of three continual supervised learning problems. In our forthcoming paper Maintaining Plasticity in Deep Continual Learning, we show the loss of plasticity in deep learning in these problems. A talk about this work can be found here, and a previous version of the paper is available on arxiv.
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              loss-of-plasticity has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              loss-of-plasticity has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of loss-of-plasticity is current.

            kandi-Quality Quality

              loss-of-plasticity has no bugs reported.

            kandi-Security Security

              loss-of-plasticity has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              loss-of-plasticity does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              loss-of-plasticity releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

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