Popular GitHub Repositories for Neuromorphic

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Pure python implementation of SNN

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.

螺旋熵减系统

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

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

Deep Learning library for Lava

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

Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024，Spotlight 3%)

Spyx: Spiking Neural Networks in JAX

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network

Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.

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

Neuromorphic mathematical optimization with Lava

A curated list of awesome neuromorphic frameworks, libraries, resources, and other things

NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch

Kaspersky Neuromorphic Platform

Low-level Python APIs for Accessing Neuromorphic Devices.