Implementation of a Hybrid Hypergraph Attention Network for hyperspectral image classification. Includes data preprocessing with PCA and SLIC, scripts for data downloading, training, evaluation, and Jupyter notebooks for experimentation. Uses DL frameworks and scientific computing libraries.
Quantization Aware Training
This repository contains documentation for the ROCm AI ecosystem: framework installation and setup, large-scale model training, LLM and diffusion serving, and performance optimization on AMD GPUs. The ecosystem builds on the ROCm Core SDK, which provides GPU runtimes (HIP), compilers, and math libraries for accelerated workloads.
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