GitHub topics: neuromorphic-computing

Repositories

lartpang/TopicSpecificPaper-DailyArxiv Fork of SpikingChen/SNN-Daily-Arxiv

Update arXiv daily papers about the specific topics like Spiking Neural Networks...

Language: Python - Size: 35.5 MB - Last synced at: about 7 hours ago - Pushed at: about 8 hours ago - Stars: 5 - Forks: 0

prophesee-ai/openeb

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

Language: C++ - Size: 105 MB - Last synced at: about 13 hours ago - Pushed at: about 13 hours ago - Stars: 191 - Forks: 50

jiaxiaogang/he4o

螺旋熵减系统

Language: Objective-C - Size: 225 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 325 - Forks: 49

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。

Size: 228 KB - Last synced at: 4 days ago - Pushed at: 15 days ago - Stars: 416 - Forks: 38

ZhangHanN1/SGLFormer

Spiking Global-Local Fusion Transformer

Language: Python - Size: 246 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 17 - Forks: 1

jiaxiaogang/HELIX_THEORY

螺旋熵减理论

Language: Objective-C - Size: 90.3 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 138 - Forks: 36

BICLab/Spike-Driven-Transformer

Offical implementation of "Spike-driven Transformer" (NeurIPS2023)

Language: Python - Size: 2.7 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 249 - Forks: 23

BICLab/SpikeYOLO

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)

Language: Python - Size: 8.83 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 167 - Forks: 7

AXYZdong/awesome-snn-conference-paper

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Size: 63.5 KB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 319 - Forks: 20

dylanperdigao/Bayesian-Optimization-1D-CSNN

Source code of the paper entitled "Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization", and presented at EPIA 2024, the 23rd International Conference on Artificial Intelligence.

Language: Jupyter Notebook - Size: 22.3 MB - Last synced at: 2 days ago - Pushed at: 12 days ago - Stars: 2 - Forks: 0

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)

Language: Python - Size: 4.86 MB - Last synced at: 5 days ago - Pushed at: 12 months ago - Stars: 174 - Forks: 22

sandialabs/Fugu

Language: Python - Size: 185 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 25 - Forks: 3

Dengyu-Wu/snncutoff

SNN Cutoff Evaluation.

Language: Python - Size: 37.7 MB - Last synced at: 14 days ago - Pushed at: 8 months ago - Stars: 16 - Forks: 0

lava-nc/lava

A Software Framework for Neuromorphic Computing

Language: Jupyter Notebook - Size: 30.1 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 600 - Forks: 153

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

Language: Python - Size: 6.58 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 2,239 - Forks: 476

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.

Language: Python - Size: 926 KB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 432 - Forks: 59

cplab/sapicore

A PyTorch-based framework for neuromorphic modeling.

Language: Python - Size: 5.41 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 2 - Forks: 2

chakravarthi589/Event-based-Vision_Resources

Resources Related to Event-based Vision | Event Cameras | DVS

Size: 27.8 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 163 - Forks: 23

sandialabs/Whetstone

Language: Python - Size: 272 KB - Last synced at: 19 days ago - Pushed at: over 6 years ago - Stars: 49 - Forks: 15

lava-nc/lava-dl

Deep Learning library for Lava

Language: Jupyter Notebook - Size: 103 MB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 157 - Forks: 74

haoxiangsnr/spiking-fullsubnet

Official repository of Spiking-FullSubNet, the Intel N-DNS Challenge Algorithmic Track Winner.

Language: Python - Size: 154 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 90 - Forks: 15

BICLab/Spike-Driven-Transformer-V3

Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)

Language: Python - Size: 6.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 51 - Forks: 5

lava-nc/lava-docs

Documentation source for Lava

Language: Python - Size: 3.54 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 13

lava-nc/lava-optimization

Neuromorphic mathematical optimization with Lava

Language: Jupyter Notebook - Size: 7.38 MB - Last synced at: 21 days ago - Pushed at: about 1 month ago - Stars: 55 - Forks: 27

lava-nc/lava-dnf

Dynamic Neural Fields with Lava

Language: Jupyter Notebook - Size: 13 MB - Last synced at: 20 days ago - Pushed at: about 1 month ago - Stars: 45 - Forks: 17

pookaPlay/ohm

Ordered Hypothesis Machines

Language: Python - Size: 12.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

IGITUGraz/LSNN-official

Long short-term memory Spiking Neural Networks

Language: Python - Size: 185 KB - Last synced at: 12 days ago - Pushed at: about 5 years ago - Stars: 102 - Forks: 24

kangh1/rhythmic_sharing

Glial-inspired ANN algorithm for unsupervised classification and zero-shot prediction of nonstationary dynamics. Based on dynamical systems theory with a bit of simplicial homotopy theory. Preprint of the manuscript available in the URL.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1

shieldforever/NeuronQuant

[ASP-DAC 2025] "NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks" Official Implementation

Language: Python - Size: 438 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 10 - Forks: 2

ajayarunachalam/pynmsnn

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

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 29 - Forks: 7

PGI15/snnax

Spiking neural networks in JAX with equinox.

Language: Python - Size: 4.28 MB - Last synced at: 8 days ago - Pushed at: 8 months ago - Stars: 21 - Forks: 8

thomastiotto/Memristor-Models

Python implementations and simulations of HP Labs Ion Drift and Yakopcic memristor models.

Language: Jupyter Notebook - Size: 28.2 MB - Last synced at: 4 days ago - Pushed at: almost 2 years ago - Stars: 31 - Forks: 3

KIT-Neuromorphic-Computing/ADAPT-pNC

ADAPT-pNC: A robustness-aware framework for printed neuromorphic circuits. This project integrates second-order learnable filters, data augmentation, and variation-aware training to enhance temporal data processing in IoT applications.

Language: Python - Size: 239 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

htm-community/htm.core Fork of numenta/nupic.core-legacy

Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python

Language: C++ - Size: 294 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 151 - Forks: 74

Nicola97/Spiking-Implementation-of-the-Recurrent-Forward-Forward-Algorithm

An implementation of Recurrent Forward-Forward from Hinton's paper, later ported to the spike domain using SnnTorch.

Language: Python - Size: 3.2 MB - Last synced at: 13 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

narduzzi/AMLD2025-SpikingTutorial

AMLD25 - Tutorial on Neuromorphic Computing

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AdamDHines/LENS

Code for LENS, fully neuromorphic place recognition integrating sensors, hardware, and algorithms for robotic localization.

Language: Python - Size: 5.17 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 6 - Forks: 0

IGITUGraz/SE-adlif

Code for "Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation"

Language: Python - Size: 91.6 MB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 5 - Forks: 4

danielathome19/pyorganoid

A Python package for the simulation of organoids for the purpose of studying Organoid Intelligence (OI) and Organoid Learning (OL).

Language: Python - Size: 7.44 MB - Last synced at: 2 days ago - Pushed at: 9 months ago - Stars: 5 - Forks: 0

HuuYuLong/Complementary-LIF

Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024 spotlight)

Language: Python - Size: 484 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 16 - Forks: 1

Qubit-xyz/Neuromorphic-Compute-Framework

Combining neuromorphic compute to create scalable agents on-chain 🏗️

Language: Python - Size: 241 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

alexanderleonidas/federated-neuromophic

This is a project that will explore the use of neuromorphic learning for privacy aware federated systems

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BrosnanYuen/tt07-Neuromorphic-ASIC-with-96-Neurons

Neuromorphic ASIC with 96 neurons on Tiny Tapeout 7

Language: Verilog - Size: 8.1 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 8 - Forks: 0

JeremieMelo/ADEPT

Automatic differentiable design of photonic tensor cores

Language: Python - Size: 2.65 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 2

zhouchenlin2096/QKFormer

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

Language: Python - Size: 1.85 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 85 - Forks: 2

danielathome19/Pianoid-EEG-NN

A Bidirectional LSTM Network and EEG-Response Organoid for simulating neural responses to classical piano music.

Language: Python - Size: 4.11 GB - Last synced at: 2 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

jamielohoff/synaptax

The only true e-prop implementation.

Language: Python - Size: 929 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 1

zhouchenlin2096/Spikingformer

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

Language: Python - Size: 593 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 81 - Forks: 5

shilpakancharla/event-based-velocity-prediction-snn

Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and signal conductance mechanisms. Neuromorphic processors can run spiking neural networks (SNNs) that mimic how biological neurons function, particularly by emulating the emission of electrical spikes. A key benefit of using SNNs and neuromorphic technology is the ability to optimize the size, weight, and power consumed in a system. SNNs can be trained and employed in various robotic and computer vision applications; we attempt to use event-based to create a novel approach in order to the predict velocity of objects moving in frame. Data generated in this work is recorded and simulated as event camera data using ESIM. Vicon motion tracking data provides the ground truth position and time values, from which the velocity is calculated. The SNNs developed in this work regress the velocity vector, consisting of the x, y, and z-components, while using the event data, or the list of events associated with each velocity measurement, as the input features. With the use of the novel dataset created, three SNN models were trained and then the model that minimized the loss function the most was further validated by omitting a subset of data used in the original training. The average loss, in terms of RMSE, on the test set after using the trained model on the omitted subset of data was 0.000386. Through this work, it is shown that it is possible to train an SNN on event data in order to predict the velocity of an object in view. (Spring 2022 MS Computer Science Thesis - North Carolina State University)

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electronicvisions/norse

Deep learning for spiking neural networks

Language: Python - Size: 8.83 MB - Last synced at: 5 months ago - Pushed at: 12 months ago - Stars: 66 - Forks: 10

thennen/StochasticSynapses.jl

Fast model for large arrays of solid-state stochastic synapses

Language: Julia - Size: 9.09 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

keskival/sleeping_machines

A manifesto for temporal computing where memory indexing is replaced by temporal delays and referencing.

Size: 843 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0

cepdnaclk/e16-4yp-neuromorphic-architecture

Neuromorphic architectures are hardware architectures that use the biologically inspired neural functions as the basis of operation. Information processing based on spiking neuron architectures have caught considerable attention in recent years due to its low power consumption compared to traditional artificial neural networks. In this project, as the first stage, we are implementing parallel multiple processing elements based on RISC-V architecture to represent biological neurons. Single neurons can be implemented as a single processor with local memory access or since the spike time of biological neurons is in the millisecond order multiple neurons can be virtualized to a single processor. At the second stage of the process, we are expecting to design encoders and decoders to benchmark the architecture by solving classical machine learning problems.

Language: VHDL - Size: 1.25 GB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 3

MarcosOriolPago/LAVA_SNN_ripples

End to end implementation of Spiking Neural Network for the detection of Neural Signals.

Language: HTML - Size: 80.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1

SpiNNakerManchester/SpiNNCer

Bio-inspired neuromorphic cerebellum

Language: Python - Size: 43.5 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 1

pabogdan/neurogenesis

This repository contains my current doctoral research at the University of Manchester

Language: Python - Size: 227 MB - Last synced at: 20 days ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 2

ankushgpta2/Vision2DeepManifold

Pipeline Consisting of LSTM + Variational and Transformer Based Autoencoders + PCA/UMAP (Parameterized and Non-Parameterized) For Generating Low-Dim Manifold Representation of V1 Neural Activity

Language: Python - Size: 87.9 KB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

duguyue100/pyaer

Low-level Python APIs for Accessing Neuromorphic Devices.

Language: Python - Size: 737 KB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 26 - Forks: 3

etherealcomputing/Converge

A human-AI developed programming language for Neuromorphic Engineering

Size: 34.2 KB - Last synced at: 2 days ago - Pushed at: 11 months ago - Stars: 11 - Forks: 1

bollossom/GAC

Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)

Language: Python - Size: 1.53 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 82 - Forks: 2

metr0jw/Spiking-Neural-Network-on-FPGA

Leaky Integrate and Fire (LIF) model implementation for FPGA

Language: Verilog - Size: 69.3 KB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 4

m4urin/quantized-liquid-state-machines

A Liquid State Machine using quantized neurons that are operating on lower-bit representations and fixed point computations. It provides a next step towards the implementation of efficient accelerators that can be used in the field of neuromorphic computing.

Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 1

dynexcoin/Dynex

Dynex is the world’s only accessible neuromorphic quantum computing cloud for solving real-world problems, at scale.

Language: C++ - Size: 66.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 128 - Forks: 44

ssgier/morphine

A software-based neuromorphic computing engine

Language: Rust - Size: 206 KB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

newwhitecheng/ECE590-02

Language: Python - Size: 12.7 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

Geekdude/aurora-ack

Language: VHDL - Size: 768 KB - Last synced at: 15 days ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

helq/doryta

Neuromorphic event-driven simulator in C and MPI (successor of NeMo https://github.com/markplagge/NeMo)

Language: C - Size: 633 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

zhouchenlin2096/Spikingformer-CML

Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation

Language: Python - Size: 1.11 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 30 - Forks: 2

open-neuromorphic/open-neuromorphic

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

Size: 6.93 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 114 - Forks: 14

AndrzejKucik/SNN4Space

ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.

Language: Python - Size: 1.92 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 1

Mike-Morin/MAGI

Public tools, devices, and data for the characterization and development of neuromorphic computing hardware.

Language: KiCad Layout - Size: 5.53 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

AlessandroPierro/automl-lava-tutorial

Tutorial on neuromorphic computing with Lava, hosted at the AutoML Fall School 2023

Language: Jupyter Notebook - Size: 4.79 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Liamdev631/neuromorphic-pancreas

Repository for the paper "Spiking Neural Networks for Low-Energy Glucose Monitoring"

Language: Jupyter Notebook - Size: 3.63 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

johnberroa/Duel-of-the-Numbers

A mixing of neuromorphic and quantum computing for the Comparative Machine Learning class

Language: Python - Size: 29.3 MB - Last synced at: 14 days ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 4

wngfra/tac3d

Tactile Exploration and Perception for Robots with Neuromorphic Computing

Language: Python - Size: 411 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

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.

Language: Jupyter Notebook - Size: 33.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 69 - Forks: 26

michaelgzt/loihi-control-loop-demo

A demo for robotic control loop with Intel's Loihi neuromorphic chip used in our papers

Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

combra-lab/spiking-ddpg-mapless-navigation

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

Language: Python - Size: 12.3 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 53 - Forks: 10

ubsuny/Josephson_Junction_Neuromorphic-Raspi4-

A repository for the project of creating a simple neural network by the use of coupled Josephson junctions acting as neurons

Language: Jupyter Notebook - Size: 193 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

genema/Noisy-Spiking-Neuron-Nets

Official repo of Noisy Spiking Neural Networks

Language: Python - Size: 712 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

himstien/aperture-robust-multiscale-optical-flow

Event based aperture robust flow

Language: C++ - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1

siddharth130500/memRNN

Long Short-Term Memory Implementation Exploiting Passive RRAM Crossbar Array

Language: MATLAB - Size: 29.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

09208079/09208079

Config files for my GitHub profile.

Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

dynexcoin/Dynex-Whitepaper

With the end of Moore’s law approaching and Dennard scaling ending, the computing community is increasingly looking at new technologies to enable continued performance improvements. A neuromorphic computer is a nonvon Neumann computer whose structure and function are inspired by biology and physics. Today, such systems can be built and operated using existing technology, even at scale, and are capable of outperforming current quantum computers.

Size: 4.16 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 6

dynexcoin/Dynex-Wallet-App

Dynex is a next-generation platform for neuromorphic computing based on a new flexible blockchain protocol.

Language: C++ - Size: 55.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 25 - Forks: 34

ssgier/morphyne

Accelerated SNN simulator for neuromorphic computing and research in Python

Language: Python - Size: 123 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

cortical-team/neko

Language: Python - Size: 58.6 KB - Last synced at: 4 days ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 4

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.

Language: C++ - Size: 83.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 4