Pinned Repositories
Adaptive-TgDLF
cayman
Cayman is a Jekyll theme for GitHub Pages
Chaoli_Page.github.io
ChaoliMao.github.io
My Blog / Jekyll Themes / PWA
ChaoliMao_old.github.io
cnn_drag_prediction
A convolutional neural network for drag prediction in laminar flows
conv-social-pooling
Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018
NGSIM-Extract-Vehicle-Data
NGSIM-FORECASTING-WITH-LSTM
NLP-Loss-Pytorch
Implementation of some unbalanced loss like focal_loss, dice_loss, DSC Loss, GHM Loss et.al
ChaoliMao's Repositories
ChaoliMao/EnergyTS-GANomaly-with-Parallel-Reconstruction
Code for our paper "Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection" and its extension.
ChaoliMao/ENigMA
A multiphysics framework with robust mesh generation capabilities
ChaoliMao/FlipLogGPT_LLM
Interactive LLM for logs and security analysis with vectorstores
ChaoliMao/florence
A finite element framework for Python's scientific stack: arbitrary order planar/curvilinear mesh generation and finite element methods for linear and nonlinear analysis of coupled multiphysics problems
ChaoliMao/FourCastNet
Initial public release of code, data, and model weights for FourCastNet
ChaoliMao/FuXi
A cascade machine learning forecasting system for 15-day global weather forecast
ChaoliMao/GANs
Generative adversarial network (GAN) models for generating synthetic time series data used in integrated energy systems design, analysis, and optimization.
ChaoliMao/gmds
GMDS, for Generic Mesh Data Structures and Services, provide a set of libraries to represent and handles meshes in the context of numerical simulation. It mainly targets quad and hex mesh generation and adaptation.
ChaoliMao/graphcast
ChaoliMao/graphs4cfd
Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)
ChaoliMao/Heat2D_solver_cpp
Finite element analysis of 2D heat transfer problems. This is a new version to previous solver
ChaoliMao/Image2Flow
Image2Flow: Fast calculation of pulmonary artery flow fields directly from 3D cardiac MRI using graph convolutional neural networks
ChaoliMao/LinFlo-Net
Diffeomorphic whole heart mesh generation
ChaoliMao/Medial-HexMeshing
Medial hex-meshing: high-quality all-hexahedral mesh generation based on medial mesh
ChaoliMao/MeshAC
A 3D Mesh Generation and Adaptation Package for Multiscale Coupling Simulation for Materials Defects
ChaoliMao/MeshDQN
Using deep reinforcement learning for refining meshes in computational fluid dynamics
ChaoliMao/MeshGenerationPOC
ChaoliMao/MeshGenerator
Mesh generation in 2D for Finite Element Method and Virtual Element Method
ChaoliMao/MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
ChaoliMao/NiuTrans.NMT
A Fast Neural Machine Translation System developed in C++.
ChaoliMao/pyems
High-level python interface to OpenEMS with automatic mesh generation
ChaoliMao/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
ChaoliMao/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
ChaoliMao/RRB
Official implementation of "Injecting Knowledge in Data-driven Vehicle Trajectory Predictors", Published in Transportation research part C.
ChaoliMao/solFEM_v3
A small open source Finite Element program with basic mesh generation, solver and viewer.
ChaoliMao/tmr
Toolkit for parallel semi-structured quadtree and octree mesh generation with specialized tools for topology optimization
ChaoliMao/Transformer-based-Federated-Learning-for-Load-Forecasting
Source code for our ICCEP paper "Secure short-term load forecasting for smart grids with transformer-based federated learning".
ChaoliMao/Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-Architecture
本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势,无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.
ChaoliMao/VanillaNet
ChaoliMao/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch