Ryu1845/hyena-jax

Implementation of Hyena Hierarchy in JAX

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Emerging

This project provides an implementation of the Hyena Hierarchy architecture within the JAX framework. It takes in neural network models and allows researchers and practitioners to experiment with an efficient alternative to traditional transformer models for sequence processing tasks. This would be used by machine learning researchers and engineers exploring novel neural network architectures.

No commits in the last 6 months.

Use this if you are a machine learning practitioner working with JAX and are looking for an alternative, efficient sequence modeling architecture to transformers.

Not ideal if you are not familiar with JAX or are looking for a pre-trained model for immediate use rather than an architectural implementation.

neural-networks sequence-modeling machine-learning-research deep-learning-architectures
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

10

Forks

2

Language

Python

License

Apache-2.0

Last pushed

Apr 30, 2023

Commits (30d)

0

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