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.

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

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

Deep Learning library for Lava

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

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.

Spyx: Spiking Neural Networks in JAX

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

Neuromorphic Intermediate Representation reference implementation

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.

Dynamic Neural Fields with Lava

Multi-Hypothesis Asynchronous Tracking of Events. Alzugaray & Chli, BMVC 2020 / 3DV 2019

A unified framework for event-based video. Encoder/transcoder/decoder for ADΔER (Address, Decimation, Δt Event Representation) video streams.