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attractor_network

基于元胞自动机吸引子特征的神经网络尝试

dynamic-residual-attractor-network

dynamic-residual-feature-aggregation-network-dra-net-for-image-classification

ozone-level-prediction-using-attention-based-state-space-model

This repository contains the implementation of an attention-based state space model for predicting ozone levels in cities. The model combines attention mechanisms and state space modeling techniques to capture long-term dependencies and dynamic variations in time series data.

setransformerfusion-a-multimodal-fusion-model-for-image-and-blood-data

SETransformerFusion is a novel multimodal fusion model that combines visual features from images and blood test data to perform classification tasks. It leverages the power of Squeeze-and-Excitation (SE) blocks and Transformer architecture to effectively capture and fuse the information from both modalities.

xiaorui-assistant

A streaming large-scale model assistant web app based on Django.