fangwei123456 / spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Why this job: says: deep learning framework; topics: deep-learning, machine-learning, pytorch
What it does
- Memory-efficient training with spike compression (memopt)
- Experimental distributed execution for multi-GPU workloads
- Precision policy tools for large-scale training and inference
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 2,186
- +7 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 83% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 73% closed
- 126 still open
- Pull requests
- 254 merged
- 0 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 83%
- Jupyter Notebook 15%
- Cuda 2%
- Shell <1%
Topics
- pytorch
- spiking-neural-networks
- snn
- deep-learning
- machine-learning
- dvs
Project record
- JobAI libraries and models
- StatusListed
- Commits3,142
- Forks334
- Watching16
- Stars in 28 days+29
- CreatedDec 17, 2019
- First seen by usNov 7, 2026
- CheckedNov 12, 2026