Shypd.aiThe largest open index of AI toolsSpikingJelly is an open-source deep learning framework for Spiking Neural Networks (SNN) based on PyTorch. It simplifies SNN building and offers fast ANN-SNN conversion with CUDA/Triton-enhanced neurons.
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SpikingJelly is an open-source deep learning framework specifically designed for Spiking Neural Networks (SNNs), built upon the PyTorch ecosystem. It aims to simplify the development and research of SNN-based AI applications, offering an intuitive way to construct SNNs similar to building ANNs in PyTorch. Key features include fast and handy ANN-SNN conversion capabilities, CUDA/Triton-enhanced neurons for accelerated training, and support for various neuromorphic datasets. The framework also provides multi-step neuron backends (torch, cupy, triton) for flexible coding and debugging, alongside optimized training speed. SpikingJelly is actively maintained, with ongoing improvements and future plans including NIR support and memory optimization.
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