ChaoliMao

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/pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

ChaoliMao/SeismicMesh

2D/3D serial and parallel triangular mesh generation tool for finite element methods.

ChaoliMao/FCN-pytorch

🚘 Easiest Fully Convolutional Networks

ChaoliMao/machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

ChaoliMao/Adaptive-TgDLF

ChaoliMao/shapes

A 2D shape generator using Bezier curves

ChaoliMao/mixture-density-network

Mixture density network implemented in PyTorch.

ChaoliMao/Modeling-PV-Power-On-6yrs-Spatiotemporal-Data

Forecasting the output power of photovoltaic (PV) arrays using 3 & 6 years of weather and PV output power data using both machine & deep learning

ChaoliMao/numpy-ml

Machine learning, in numpy

ChaoliMao/transformer

PyTorch Implementation of "Attention Is All You Need"

ChaoliMao/tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

ChaoliMao/stock_predict_with_LSTM

Predict stock with LSTM supporting pytorch, keras and tensorflow

ChaoliMao/T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

ChaoliMao/NLP-Loss-Pytorch

Implementation of some unbalanced loss like focal_loss, dice_loss, DSC Loss, GHM Loss et.al

ChaoliMao/Chaoli_Page.github.io

ChaoliMao/SLA-VAE

A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems

ChaoliMao/LeNet-5

PyTorch implementation of LeNet-5 with live visualization

ChaoliMao/THT-CNN

Prediction of turbulent heat transfer using convolutional neural networks (CNNs)

ChaoliMao/ElegantBook

Elegant LaTeX Template for Books

ChaoliMao/nnPostProcess

Statistical Postprocessing of Local Numerical Weather Prediction Model Forecasts using Deep Learning

ChaoliMao/ms-gat

Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction

ChaoliMao/IoV-SFDL-Swarm-Federated-Deep-Learning

LSTM network to verify trajector prediction on the NGSIM dataset based on IoV-SFDL framework

ChaoliMao/DelaunayMesh-2D

Source code for “Automatic Delaunay mesh generation method and physically-based mesh optimization method on two-dimensional regions”

ChaoliMao/pinf_smoke

The pytorch implementation of the paper, "Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data" (SIGGRAPH 2022 https://people.mpi-inf.mpg.de/~mchu/projects/PI-NeRF/), from M. Chu, L. Liu, Q. Zheng, E. Franz, H.P. Seidel, C. Theobalt, R. Zayer.

ChaoliMao/traffic_prediction

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

ChaoliMao/NGSIM_flexible_Testbed

A testbed for the digital twin with autonomous driving controller/algorithms based on NGSIM dataset

ChaoliMao/Reconstruction_pxw

A deep learning method based on patchwise training for reconstructing temperature field

ChaoliMao/SIT_TrajectoryPrediction

Trajectory prediction on the NGSIM dataset.

ChaoliMao/DePO_NGSIM

Code for ICML 2021 paper "Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization" on NGSIM dataset

ChaoliMao/PythonRobotics

Python sample codes for robotics algorithms.