devsisters/pointer-network-tensorflow
TensorFlow implementation of "Pointer Networks"
This project offers a TensorFlow implementation of Pointer Networks, a type of neural network. It helps machine learning engineers and researchers explore and apply this architecture. It takes numerical data representing sequences (like coordinates for optimization problems) as input and outputs optimized sequences or orderings.
477 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or developer interested in implementing or experimenting with Pointer Networks for sequence-to-sequence problems, especially those involving ordering or permutation.
Not ideal if you are a non-developer seeking a ready-to-use solution for a specific real-world optimization problem without needing to understand or modify machine learning code.
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477
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135
Language
Python
License
MIT
Category
Last pushed
Mar 01, 2017
Commits (30d)
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