IBM/neuroaikit

Neuro-inspired AI Toolkit

34
/ 100
Emerging

This toolkit helps AI researchers and deep learning practitioners experiment with and build neural networks inspired by biological brain dynamics. It takes your existing TensorFlow 2.x models and allows you to incorporate biologically-inspired components, specifically SNU-based networks. The output is a more energy-efficient and potentially more robust neural network architecture.

No commits in the last 6 months.

Use this if you are a deep learning researcher or practitioner interested in exploring novel, biologically-inspired neural network architectures for more efficient AI.

Not ideal if you are looking for a plug-and-play solution for general deep learning tasks without specific interest in neuro-inspired computing or modifying network architectures.

AI-research deep-learning neural-networks brain-inspired-computing computational-neuroscience
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 9 / 25

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Stars

28

Forks

3

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Sep 17, 2025

Commits (30d)

0

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