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
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Stale 6m
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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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