fangwei123456/spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
This framework helps AI researchers and deep learning engineers build and experiment with Spiking Neural Networks (SNNs) for more energy-efficient and biologically-inspired AI. It takes neural network architectures and dataset inputs, similar to traditional deep learning, and outputs trained SNN models. Researchers focused on neuromorphic computing or low-power AI applications would use this.
1,931 stars. Actively maintained with 2 commits in the last 30 days. Available on PyPI.
Use this if you are a deep learning researcher or engineer interested in building, training, and optimizing Spiking Neural Networks using a PyTorch-based framework.
Not ideal if you are looking for a plug-and-play solution for conventional deep learning tasks without specific interest in neuromorphic computing or SNNs.
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299
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Python
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Last pushed
Mar 12, 2026
Commits (30d)
2
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6
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