The implementation of GWRBoost.

[3DV'25] 3D Reconstruction with Spatial Memory

Indonesia's COVID-19 daily new cases prediction using LSTM-GCN method.

Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit

Efficient vision foundation models for high-resolution generation and perception.

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanhui Liang, Yu Lin, and Qin Lu.

Ospark is an opensource for quickly builder of former model series.

In this study, we propose an end-to-end deep learning model-RCL-Learning that integrates ResNet and ConvLSTM.

Using to predict the highway traffic speed

Self-Attention ConvLSTM for Spatiotemporal Prediction, described in `https://ojs.aaai.org//index.php/AAAI/article/view/6819`, test on MovingMNIST.

An Open Source Spatio-Temporal Prediction Package

Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionne…