Pinned Repositories
airfoil-opt-gan
Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"
ASTGCN
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
ASTIR
Citywide Crowd Flow Prediction
Autoware
Open-source software for urban autonomous driving.
awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
clusterNet
Deep neural network framework for multiple GPUs
CNN-for-Airfoil
CNN for airfoil lift-to-drag-ratio prediction
Cplusplus-Concurrency-In-Practice
A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》
Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
Hejiandong's Repositories
Hejiandong/airfoil-opt-gan
Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"
Hejiandong/ASTGCN
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
Hejiandong/ASTIR
Citywide Crowd Flow Prediction
Hejiandong/Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
Hejiandong/DeepCFD
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
Hejiandong/deepflame-dev
A deep learning empowered open-source platform for reacting flow simulations
Hejiandong/DeepVIV
Deep Learning of Vortex Induced Vibrations
Hejiandong/Dynamic-Morphing-Wing
This project contains the user-defined functions (UDF) necessary to perform unsteady computational fluid dynamics (CFD) analysis of dynamically morphing wings equipped with morphing flaps.
Hejiandong/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Hejiandong/finitevolume-python
Finite Volume simulation of the Kelvin-Helmholtz Instability
Hejiandong/FVENS
Finite volume Euler / Navier-Stokes solver
Hejiandong/GCN-tffc
比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。
Hejiandong/GCN_predict-Pytorch
Traffic flow predict. Implementation of graph convolutional network with PyTorch
Hejiandong/Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
Hejiandong/lily-pad
Real-time two-dimensional fluid dynamics simulations in Processing. Initiated by Dr G D Weymouth:
Hejiandong/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
Hejiandong/PINN-in-Pytorch
Implementation of PINN from Raissi in Pytorch
Hejiandong/PINN-laminar-flow
Physics-informed neural network for solving fluid dynamics problems
Hejiandong/pinn_cavity
Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
Hejiandong/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Hejiandong/PINNs-TF2.4.0
Contains implementation of PINN using Tensorflow 2.4.0
Hejiandong/PointNetCFD
Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)
Hejiandong/PyDMD
Python Dynamic Mode Decomposition
Hejiandong/PythonRobotics
Python sample codes for robotics algorithms.
Hejiandong/SeismicMesh
2D/3D serial and parallel triangular mesh generation tool for finite element methods.
Hejiandong/Self-Driving-Truck
Self-driving smallscale truck with wireless charging - Master thesis @ NTNU 2019
Hejiandong/space_time_pde
MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution
Hejiandong/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Hejiandong/ToGCN-V2X
The official implementation of the paper "Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction"
Hejiandong/tvmathew1986-Physics_Informed_Neural_Network_for_Continuum_Mechanics_application
The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed Neural Network implementation in Tensorflow using Jupyter notebooks.