attention-mechanisms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

keras natural-language-processing tensorflow

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378 Stars

87 Forks

378 Watchers

Python Language

mit License

100 SrcLog Score

Cost to Build

$30.0K

Market Value

$66.2K

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Growth over time

13 data points · 2021-08-01 → 2026-04-01

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What is the uzaymacar/attention-mechanisms GitHub project? Description: "Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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