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Code and data for Kuro Siwo flood mapping dataset
CALM-Aug is a lightweight, class-aware data augmentation framework designed to alleviate long-tail distribution and domain shift problems in agricultural object detection datasets such as PlantDoc.
Convolutional LSTM for Precipitation Nowcasting
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
High-resolution spatiotemporal nowcasting of urban flooding with U-RNN
Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
The dataset includes 4248 samples collected during the composting process using a dedicated sensor system.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
(Journal of Hydrology 2025) U-RNN High-resolution spatiotemporal nowcasting of urban flooding
[IEEE TIP] TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes
This repository contains the dataset for the research titled: "Compost Maturity Prediction and Gas Emissions Monitoring: A Sensor-Based and Interpretable Machine Learning Approach".
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials