Projects in Awesome Lists tagged with hardware-aware-ml
A curated list of projects in awesome lists tagged with hardware-aware-ml .
https://github.com/christopher-altman/sqnt-hardware-demo
Adaptive quantum networks in practice: superposed graph topologies and operator-space spatialization, with reproducible hardware-relevant demos and figures.
adaptive-quantum-networks deterministic-experiments graph-neural-networks hardware-aware-ml identifiability inverse-problems mixture-models model-identifiability numpy operator-space pennylane qiskit quantum-compilation quantum-machine-learning quantum-neural-networks reproducible-research superposed-graph-topologies superpositional-topologies support-recovery topology-learning
Last synced: 22 Jan 2026
https://github.com/or4k2l/robust-vision
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
autonomous-driving computer-vision confidence-estimation deep-learning docker hardware-aware-ml implicit-regularization jax kitti-dataset machine-learning memristive-crossbar multi-gpu neuromorphic-computing neuromorphic-hardware noise-robustness pattern-recognition production-ml python robust-ml
Last synced: 22 Feb 2026
