neuromorphic-computing
There are 84 repositories under neuromorphic-computing topic.
666DZY666/micronet
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
lava-nc/lava
A Software Framework for Neuromorphic Computing
jiaxiaogang/he4o
螺旋熵减系统
mikeroyal/Neuromorphic-Computing-Guide
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
BICLab/Spike-Driven-Transformer
Offical implementation of "Spike-driven Transformer" (NeurIPS2023)
prophesee-ai/openeb
Open source SDK to create applications leveraging event-based vision hardware equipment
open-neuromorphic/open-neuromorphic
List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.
htm-community/htm.core
Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python
lava-nc/lava-dl
Deep Learning library for Lava
dynexcoin/Dynex
Dynex is the world’s only accessible neuromorphic quantum computing cloud for solving real-world problems, at scale.
jiaxiaogang/HELIX_THEORY
螺旋熵减理论
zhouchenlin2096/Awesome-Spiking-Neural-Networks
A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码,正在持续更新中。
BICLab/Spike-Driven-Transformer-V2
Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)
IGITUGraz/LSNN-official
Long short-term memory Spiking Neural Networks
bollossom/GAC
Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
intel-nrc-ecosystem/models
This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.
combra-lab/spiking-ddpg-mapless-navigation
Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
electronicvisions/norse
Deep learning for spiking neural networks
zhouchenlin2096/Spikingformer
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
bollossom/VTSNN
Public code for VTSNN: A Virtual Temporal Spiking Neural Network (Fron. Neur.)
lava-nc/lava-optimization
Neuromorphic mathematical optimization with Lava
haoxiangsnr/spiking-fullsubnet
Official repository of Spiking-FullSubNet, the Intel N-DNS Challenge Algorithmic Track Winner.
lava-nc/lava-dnf
Dynamic Neural Fields with Lava
metr0jw/Spiking-Neural-Network-on-FPGA
Leaky Integrate and Fire (LIF) model implementation for FPGA
zhouchenlin2096/Spikingformer-CML
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
combra-lab/snn-eeg
PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware
duguyue100/pyaer
Low-level Python APIs for Accessing Neuromorphic Devices.
thomastiotto/Memristor-Models
Python implementations and simulations of HP Labs Ion Drift and Yakopcic memristor models.
ajayarunachalam/pynmsnn
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
Merterm/BRAIN-M
Brilliantly Radical Artificially Intelligent Neural Machine
Aayush-Ankit/traNNsformers
Structured clustering for memristive crossbar based neuromorphic architectures
dodo47/SpikE
Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".
dynexcoin/Dynex-Neuromorphic-Chip
Dynex has also developed a proprietary circuit design, the Dynex Neuromorphic Chip, that complements the Dynex ecosystem and turns any modern G into a neuromorphic computing chip by simulating its equations of motion. This implementation proofs the mathematical model.
genema/Noisy-Spiking-Neuron-Nets
[CELL PATTERNS] Official repo of Noisy Spiking Neural Networks
Windere/ASGL-SNN
Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023