SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
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Updated
Dec 6, 2024 - Python
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
[IEEE TCYB 2023] The first large-scale tracking dataset by fusing RGB and Event cameras.
EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras
Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023
STBP (Spatio Temporal Back Propagation) implemented on SL-Animals-DVS dataset for training Spiking Neural Networks
Python tools to process and visualize address-event data from dynamic vision sensors such as DVS128
Machine Learning tools for Dynamic Vision Sensors such as DVS128
SLAYER (Spiking Layer Error Reassignment in Time) implemented on SL-Animals-DVS dataset for training Spiking Neural Networks
DECOLLE (Deep Continuous Local Learning) implemented on SL-Animals-DVS dataset for training Spiking Neural Networks
PushBot experiments in the Neurorobotics Platform
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