Pure python implementation of SNN

Flutter UI challenge (with Box2D physic)- Smart washing machine app

Deep learning with spiking neural networks (SNNs) in PyTorch.

A Software Framework for Neuromorphic Computing

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

Publicly available event datasets and transforms.

List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.

Open source SDK to create applications leveraging event-based vision hardware equipment

Deep Learning library for Lava

Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.

[IEEE TCYB 2023] The first large-scale tracking dataset by fusing RGB and Event cameras.

Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper

Spyx: Spiking Neural Networks in JAX

[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"

Neuromorphic Intermediate Representation reference implementation

Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols

Neuromorphic mathematical optimization with Lava

A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.

[ICRA'23] Dataset of Moving Object Detection; Official Implementation of "RGB-Event Fusion for Moving Object Detection in Autonomous Driving"