lucidrains/fast-weight-attention
Implementation of Fast Weight Attention
This is a developer tool designed to enhance the memory capabilities of AI models. It processes sequences of data, maintaining an "episodic memory" that influences how the model interprets new information. Machine learning engineers and researchers building advanced AI architectures would use this to improve model performance on tasks requiring context retention.
22 stars and 1,631 monthly downloads. Available on PyPI.
Use this if you are a machine learning engineer or researcher developing advanced AI models and need to integrate a more sophisticated, attention-based memory mechanism.
Not ideal if you are an end-user looking for a ready-to-use application or someone unfamiliar with deep learning model development.
Stars
22
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 25, 2026
Monthly downloads
1,631
Commits (30d)
0
Dependencies
5
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