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GitHub / pouyasattari / Automatic-Generative-Code-with-Neural-Machine-Translation-for-data-security-purpose

Transformers, including the T5 and MarianMT, enabled effective understanding and generating complex programming codes. Consequently, they can help us in Data Security field. Let's see how!

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pouyasattari%2FAutomatic-Generative-Code-with-Neural-Machine-Translation-for-data-security-purpose
PURL: pkg:github/pouyasattari/Automatic-Generative-Code-with-Neural-Machine-Translation-for-data-security-purpose

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 130 KB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago

Topics: attention-mechanisms, fine-tuning, levenshtein-distance, neural-machine-translation, nmt, npl, tokenization, transfer-learning, transformers, zero-shot-classification

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