snnTorch is a Python package for performing gradient-based learning with spiking neural networks. It extends PyTorch’s GPU-accelerated tensor computation to networks of spiking neurons, integrating pre-designed spiking neuron models as recurrent activation units that can be trained using standard PyTorch optimizers and workflows.