Seq2Seq-PyTorch and seq2seq
These are competitors—both are standalone, educational implementations of sequence-to-sequence models with attention mechanisms for NMT, designed to teach or prototype the same architecture rather than work together or serve different roles in a shared ecosystem.
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
25/25
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
25/25
Stars: 742
Forks: 161
Downloads: —
Commits (30d): 0
Language: Python
License: WTFPL
Stars: 703
Forks: 168
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m
No Package
No Dependents
Archived
Stale 6m
No Package
No Dependents
About Seq2Seq-PyTorch
MaximumEntropy/Seq2Seq-PyTorch
Sequence to Sequence Models with PyTorch
About seq2seq
keon/seq2seq
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
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