kyegomez/AttentionGrid
A network of attention mechanisms at your fingertips. Unleash the potential of attention mechanisms for diverse AI applications. AttentionGrid is all you need!
This project helps machine learning practitioners and researchers easily integrate advanced attention mechanisms into their AI models. It takes in raw data or model outputs and applies sophisticated attention techniques to produce more focused and performant AI model results. It's for anyone building or experimenting with AI models who wants to leverage the power of attention to improve their model's ability to interpret data.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning practitioner, researcher, or enthusiast looking to easily incorporate various attention mechanisms into your AI models to enhance their performance and focus.
Not ideal if you are an end-user of AI applications and not involved in the actual development or training of AI models.
Stars
7
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 27, 2023
Commits (30d)
0
Dependencies
3
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