Published October 14, 2024
| Version 2.9.1
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
Files
(94.5 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:44d6f1fc2d331e048e264b19cb9d285c
|
94.5 MB | Preview Download |
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