There are 3 repositories under rram topic.
A Simulation Framework for Memristive Deep Learning Systems
This repository includes the Resistive Random Access Memory (RRAM) Compiler which is designed in the context of the research project of Dimitris Antoniadis (PG Taught Student) at Imperial College London
Python tools for generating and testing SPICE netlists/waveforms involving crossbar memory arrays in various configurations
A well-posed RRAM SPICE model implemented in Verilog-A, based on Stanford/ASU filamentary model, using code developed at UC Berkeley
Series of ReRAM characterization modules compatible with Keithley Semiconductor Characterization Systemsinstruments
Code and repository for RRAM RADAR programming method: https://doi.org/10.1109/TED.2021.3097975
Long Short-Term Memory Implementation Exploiting Passive RRAM Crossbar Array
Memristor model: Various implementations of the simplified memristor model "JART-TUD VCM"
[Nature Communications 2025] "Random resistive memory-based extreme point learning machine for unified visual processing."
RRAM resistive switching behavior evaluation and prediction, based on fabrication conditions. Applied Machine learning\Deep learning models to predict SET voltage distribution in Honey-based RRAM devices. Simulating the basic operations of RRAM crossbars in image classification tasks, investigating the robustness of in situ vs. ex situ training.
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
NI RRAM programming in Python