Published December 17, 2025
| Version 3.0.3
Software documentation
Open
Rockpool Documentation
Contributors
- 1. SynSense
Description
Rockpool is a Python machine-learning package for designing, building and deploying event-driven neural network applications, particularly for Neuromorphic computing hardware. Rockpool provides a simple and comfortable API for working with spiking neural networks. Along with PyTorch and Jax support, Rockpool provides accellerated training for SNNs, and an extensible deployment pipeline.
Files
rockpool.pdf
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Additional details
Related works
- Is cited by
- Book chapter: 978-87-7022-820-6 (ISBN)
- Book chapter: arXiv:2208.12991 (arXiv)
- Technical note: arXiv:2406.15112 (arXiv)
- Is documented by
- https://rockpool.ai (URL)
Funding
- European Commission
- ANDANTE - Ai for New Devices And Technologies at the Edge 876925
- European Commission
- SYNCH - A SYnaptically connected brain-silicon Neural Closed-loop Hybrid system 824162
- European Commission
- EdgeAI - Edge AI Technologies for Optimised Performance Embedded Processing 101097300
- European Commission
- TEMPO - Technology and hardware for neuromorphic computing 826655
Software
- Repository URL
- https://github.com/synsense/rockpool
- Programming language
- Python
- Development Status
- Active