memn2n and MemN2N-tensorflow
These are competing implementations of the same paper, both offering standalone Tensorflow-based approaches to End-To-End Memory Networks without functional interdependencies, making them alternatives to choose from rather than tools designed to work together.
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: 341
Forks: 131
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 827
Forks: 248
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About memn2n
domluna/memn2n
End-To-End Memory Network using Tensorflow
About MemN2N-tensorflow
carpedm20/MemN2N-tensorflow
"End-To-End Memory Networks" in Tensorflow
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