SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
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Updated
Jun 16, 2025 - Python
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Deep and online learning with spiking neural networks in Python
Simulation of spiking neural networks (SNNs) using PyTorch.
Pure python implementation of SNN
Brian is a free, open source simulator for spiking neural networks.
Deep learning with spiking neural networks (SNNs) in PyTorch.
Brain Dynamics Programming in Python
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its…
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)
Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)
Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
NGC-Learn: Neurobiological Systems Design and Simulation in Python
Event-Based Angular Velocity Regression with Spiking Networks
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Long short-term memory Spiking Neural Networks
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
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