hejiandong's 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
Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
DeepCFD
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
deepflame-dev
A deep learning empowered open-source platform for reacting flow simulations
DeepVIV
Deep Learning of Vortex Induced Vibrations
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.
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
finitevolume-python
Finite Volume simulation of the Kelvin-Helmholtz Instability
FVENS
Finite volume Euler / Navier-Stokes solver
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。
GCN_predict-Pytorch
Traffic flow predict. Implementation of graph convolutional network with PyTorch
Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
lily-pad
Real-time two-dimensional fluid dynamics simulations in Processing. Initiated by Dr G D Weymouth:
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
PINN-in-Pytorch
Implementation of PINN from Raissi in Pytorch
PINN-laminar-flow
Physics-informed neural network for solving fluid dynamics problems
pinn_cavity
Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
PINNs-TF2.4.0
Contains implementation of PINN using Tensorflow 2.4.0
PointNetCFD
Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)
PyDMD
Python Dynamic Mode Decomposition
PythonRobotics
Python sample codes for robotics algorithms.
SeismicMesh
2D/3D serial and parallel triangular mesh generation tool for finite element methods.
Self-Driving-Truck
Self-driving smallscale truck with wireless charging - Master thesis @ NTNU 2019
space_time_pde
MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution
T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
ToGCN-V2X
The official implementation of the paper "Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction"
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.