Document-Classifier-LSTM and self-attention-classification

These are competitors offering alternative implementations of the same architectural pattern—both apply LSTM with attention mechanisms for document classification—so you would typically choose one based on factors like code quality, documentation, or specific attention variant rather than using both together.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 20/25
Stars: 173
Forks: 50
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 114
Forks: 30
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
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About Document-Classifier-LSTM

AlexGidiotis/Document-Classifier-LSTM

A bidirectional LSTM with attention for multiclass/multilabel text classification.

About self-attention-classification

nn116003/self-attention-classification

document classification using LSTM + self attention

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