In-sensor reservoir computing for language learning via two-dimensional memristors
-
Updated
Feb 16, 2023 - Jupyter Notebook
In-sensor reservoir computing for language learning via two-dimensional memristors
Structured clustering for memristive crossbar based neuromorphic architectures
Spiking neural network simulator based on memrisor characteristics
built Memristor model and simulated learning circuit with python
HSPICE implementation of hybrid CMOS/Memristor BAM
Crossbar Parasitics Simulator – A tool for benchmarking parasitic resistance models in RRAM crossbars and evaluating neural networks under realistic hardware constraints.
Research-grade framework for memristive crossbar security analysis, fault injection, side-channel attacks, and PUF-based hardware defenses using MemTorch + PyTorch.
A solver for Memristor Crossbar Arrays
Aspirational floating-gate arm of memristive-crossbar (02): can in-fabric learning run on a real analog floating-gate array (tunneling/injection writes)? Verdict-gated, H5-first, provisional.
Production-ready framework for training robust computer vision models. Features multi-GPU support, EMA tracking, label smoothing, and comprehensive robustness evaluation across 4 noise types. Includes scalable TF.Data pipeline, automated testing, Docker support, and CLI tools. Install: pip install robust-vision
Hardware-transfer arm of memristive-crossbar (02): does in-fabric learning survive a real floating-gate FPAA? Verdict-gated, H5-first.
Add a description, image, and links to the memristive-crossbar topic page so that developers can more easily learn about it.
To associate your repository with the memristive-crossbar topic, visit your repo's landing page and select "manage topics."