g0lemXIV/LambdaNetworks

Implementation of LambdaNetworks, a framework for capturing long-range interaction between structured contextual information. Tensorflow-2.x implementation.

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This project offers a TensorFlow-based implementation of LambdaNetworks, which is a framework for effectively processing complex, structured information, especially when dealing with long-range relationships within data. It helps deep learning researchers and practitioners experiment with an alternative to attention mechanisms for capturing dependencies in data like images (2D) or sequences (1D). You provide structured input data, and it outputs a transformed representation that better captures these interactions.

No commits in the last 6 months.

Use this if you are a deep learning researcher or practitioner working with TensorFlow and want to explore novel architectures for capturing long-range dependencies in structured data, moving beyond traditional attention mechanisms.

Not ideal if you are looking for an out-of-the-box solution for a specific application, or if you prefer a PyTorch environment, as this is a TensorFlow-specific implementation.

deep-learning-research neural-network-architecture computer-vision sequence-modeling machine-learning-engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

9

Forks

2

Language

Python

License

MIT

Last pushed

Nov 23, 2020

Commits (30d)

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