realamirhe/tsnn

Probably the world most FC implementation of transformers with SNNs

12
/ 100
Experimental

This project aims to implement transformer networks using spiking neural networks (SNNs), representing a third generation of natural language processing networks. It takes text data as input and processes it through a novel neural network architecture to produce enhanced language understanding. This would be used by researchers and practitioners in advanced AI and machine learning who are exploring energy-efficient or biologically inspired computational models for language tasks.

No commits in the last 6 months.

Use this if you are an AI researcher or a machine learning engineer interested in exploring cutting-edge, energy-efficient neural network architectures for natural language processing.

Not ideal if you are looking for a plug-and-play solution for standard NLP tasks or a library for conventional deep learning models.

Spiking Neural Networks Natural Language Processing Research AI Model Architecture Computational Neuroscience Efficient AI
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

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Language

Python

License

Last pushed

Jul 22, 2022

Commits (30d)

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