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GitHub / Ogunfool / EncoderTransformerArchitecture-FromScratch

An EncoderTransformer Architecture developed from scratch using pytorch's neural network module as the base class. The developed model used for sentiment analysis and time series prediction tasks.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ogunfool%2FEncoderTransformerArchitecture-FromScratch
PURL: pkg:github/Ogunfool/EncoderTransformerArchitecture-FromScratch

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 36.1 KB
Dependencies parsed at: Pending

Created at: about 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago

Topics: sentiment-classification, timeseries-data, timeseries-prediction, transformer-pytorch, transformers-bert

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