zhongruiwang / memristorCNN

Memristor Reinforcement Learning

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

Memristor Reinforcement Learning

#计算机科学#A Simulation Framework for Memristive Deep Learning Systems

This Pytorch-based framework demonstrates a sentiment analysis task in the IMDB movie reviews dataset using an SNN with a statistic memristor model

神经网络的实现，包括bp神经网络和rbf神经网络

FPGA Design of a Spiking Neural Network.

In this repository I have simulated Memristors using Python3 and also created GUI for easy use by researchers to visualise the functioning of a Memristor.

Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)

#计算机科学#Deep and online learning with spiking neural networks in Python

Memristor modeling artifacts (including a model for use with LTspice)

#学习与技能提升#Nengo implementation of neuromorphic learning using simulated SrTiO3 memristors.

#计算机科学#SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

for 神经计算建模实战

Physical memristor/RRAM/resistive switching device SPICE compact model, that is able to accurately fit both unipolar/bipolar devices settling to its current-voltage relationship.

Attachment Manager for Zotero

FPGA based Leaky Integrate and Fire (LIF) neuron model accelerator for PyTorch

Brian is a free, open source simulator for spiking neural networks.

Modeling of memristors in LTSpise environment