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1. HyperGCN HyperGCN Public

   Multi-layer, multi-exit Graph Neural Network for efficient hyperspectral image classification — published in IJRS 2024.

   Python 1

2. Retina Retina Public

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   Scientific Visualization Using Matplotlib and Plotly

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3. EEDNN-EdgeCloud EEDNN-EdgeCloud Public

   Interactive edge–cloud framework for Early-Exit Deep Neural Networks (EEDNNs). Enables adaptive inference, multi-exit control, and real-time performance analytics with dynamic edge–cloud offloading…

   Python

4. early-exit-dnn-survey early-exit-dnn-survey Public

   This work unifies 150+ studies on early-exit and dynamic inference models, analyzing their architectures, training strategies, exit policies, application domain, and open challenges and future dire…

5. compute-profiler compute-profiler Public

   A lightweight PyTorch-based toolkit to profile deep neural networks — computing FLOPs, parameter counts, and model complexity across MLP, CNN, and GNN architectures. Modular, extensible, and produc…

   Python

6. GNN-HSI-XAI GNN-HSI-XAI Public

   This repository implements an explainable analysis for Graph Neural Networks (GNNs) applied to hyperspectral image classification. It integrates popular XAI methods to visualize the influence of sp…

   Python