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Brain-inspired Cognitive Intelligence Engine (BrainCog)
BrainPy: a simulation toolbox for researches in computational neuroscience and brain-inspired computation
Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
The official git repository for Contiki, the open source OS for the Internet of Things
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
just a try
FPGA project
IOT-hommework
A Chinese edition of the Not So Short Introduction to LaTeX2ε
Benchmark framework of synaptic device technologies for a simple neural network
Neuromorphic Computing Guide
Simple Python simulation of a one-hidden-layer spiking neural network for digit classification on sklearn's "digits" dataset.
Simple Python simulation of a single LIF neuron learning a digit pattern using Hebbian learning.
中文 Python 笔记
mmyun
Neuromorphic computing is a new technology which uses very-large-scale integration (VLSI) systems containing electrical analogs that mimic neurobiological structures. Such technology can be simulated using the Python framework snnTorch, a derivative of the deep learning framework PyTorch that has the capacity to run spiking neural networks (SNNs) w
A Spiking Neural Network Architecture for MNIST Digit Recognition
Deep and online learning with spiking neural networks in Python
A Spiking Convolutional Neural Network implemented using brian2 package.
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
Stereo depth estimation with Spiking Neural Networks (SNN) on Dynamic Vision Sensor (DVS) data
Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"
This project aims doing unsupervised learning of digit recognition task using Spiking neural network and Spike timing Dependent Plasticity so as to bring the representation of neural network more towards how actually the brain works. This project is still under progress.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.