deep-fakes-detection | Detection of deep fakes using face embeddings and triplets

 by   AshishGusain17 Jupyter Notebook Version: Current License: No License

kandi X-RAY | deep-fakes-detection Summary

kandi X-RAY | deep-fakes-detection Summary

deep-fakes-detection is a Jupyter Notebook library. deep-fakes-detection has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Detection of deep fakes using face embeddings and triplets
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            kandi-support Support

              deep-fakes-detection has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              deep-fakes-detection has no issues reported. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of deep-fakes-detection is current.

            kandi-Quality Quality

              deep-fakes-detection has no bugs reported.

            kandi-Security Security

              deep-fakes-detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              deep-fakes-detection 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.

            kandi-Reuse Reuse

              deep-fakes-detection releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            deep-fakes-detection Key Features

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            deep-fakes-detection Examples and Code Snippets

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            Vulnerabilities

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            Install deep-fakes-detection

            You can download it from GitHub.

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