This repository provides a collection of deep learning algorithms for reconstructing hyperspectral images from compressed measurements. It implements transformer-based architectures including MST, CST, DAUHST, BiSCI, and HDNet, which are designed for snapshot compressive imaging reconstruction tasks. The codebase includes training scripts, evaluation tools, and pre-trained models, with implementations built on PyTorch.