Deep learning with spiking neural networks (SNNs) in PyTorch.
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Updated
Jul 11, 2024 - Python
Deep learning with spiking neural networks (SNNs) in PyTorch.
Publicly available event datasets and transforms.
A Software Framework for Neuromorphic Computing
Neuromorphic mathematical optimization with Lava
Deep Learning library for Lava
Coding projects by the community for the community
Neuromorphic Intermediate Representation reference implementation
Integrating Symbolic Programming and Neuromorphic Modeling with NVIDIA Jetson and GPU-based DNN/ML Systems for Edge Labs
Open source SDK to create applications leveraging event-based vision hardware equipment
A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
[IEEE TCYB 2023] The first large-scale tracking dataset by fusing RGB and Event cameras.
Simulation of Advanced Neuromorphic Architectures for Fast Exploration
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
An open-source package that offer fully-functional spike-based bio-inspired hippocampal memory models implemented with SNN technology in the SpiNNaker hardware in Python
Accurate Detection of Spiking Motifs in Neurobiological Data by Learning Heterogeneous Delays of a Spiking Neural Network
Public website, hosted through GitHub pages.
A Python package for decoding RAW and DAT files (Prophesee) to structured NumPy arrays of events.
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