A Simulation Framework for Memristive Deep Learning Systems
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Updated
May 13, 2024 - Python
A Simulation Framework for Memristive Deep Learning Systems
A Python tool for computing and plotting currents and voltages in passive crossbar arrays.
[Nature Machine Intelligence 2023] "Echo state graph neural networks with analogue random resistive memory arrays."
Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”
Implementation of "Low-Cost and Effective Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks." 2021 58th ACM/IEEE Design Automation Conference (DAC).
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
A solver for Memristor Crossbar Arrays
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