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Tongji University
- Shanghai, China
- https://orcid.org/0000-0001-6898-2176
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Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.
Bayesian Methods for the calibration and control of storm water networks
A clean and robust Pytorch implementation of SAC on discrete action space
Library with some less common or extended spatial functions
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Code repository for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"
This is the repository of the paper
🚰 Interactive hydrodynamic solver for pipe and channel networks
Source code for Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems paper.
Repository for Kerimov, Bulat, et al. "Assessing the performances and transferability of graph neural network metamodels for water distribution systems." Journal of Hydroinformatics (2023)
TRC: ''Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs''.
Geographic simulation knowledge
Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Python wrapper for HEC-RAS controller. win32com based
Interpretable rainfall-runoff models automatically from data.
An open-source toolbox for designing real-time control of urban drainage systems
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)