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/lstm-gcn-traffic

Code for the thesis of 'Applicability of Graph Convolutional Networks for Traffic Congestion Prediction' at KU Leuven.

ChaoliMao/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

ChaoliMao/deer

DEEp Reinforcement learning framework

ChaoliMao/jpdaf_tracker

ChaoliMao/PINNs

ChaoliMao/ChaoliMao.github.io

My Blog / Jekyll Themes / PWA

ChaoliMao/conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

ChaoliMao/ChaoliMao_old.github.io

ChaoliMao/DeepHPMs

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

ChaoliMao/FBSNNs

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

ChaoliMao/HFM

Hidden Fluid Mechanics

ChaoliMao/ukfLib

Unscented Kalman Filter (UKF)

ChaoliMao/viznet

network visualization toolkit

ChaoliMao/graph-network-explainability

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

ChaoliMao/Privacy-and-Performance-in-Power-Consumption-Curve-Generation-with-GANs

This repository contains several GAN models for artificial power consumption curve generation, along with the code to train them and evaluate their privacy using membership inference attacks.

ChaoliMao/sensor-fusion

Kalman filters (KF, EKF, UKF), LIDAR object detection

ChaoliMao/cayman

Cayman is a Jekyll theme for GitHub Pages

ChaoliMao/jpdaf_tracking

A tracker based on joint probabilistic data association filtering.

ChaoliMao/photocatalytic-material-searching

A matlab code for searching photocatalytic materials of mp_index.

ChaoliMao/liblbfgs

libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)

ChaoliMao/testing_PINNs

I am testing the PINNs algorithm to infer hidden parameters in PDEs using neural networks.

ChaoliMao/Voxel-Hashing-SDF

Implemented large scale 3d mesh generation in parallel using CUDA.

ChaoliMao/GpuMesh

Mesh generation and adaptation algorithms adapted for GPU

ChaoliMao/Kalman-Filters

To predict and estimate the state of charge of the battery (SoC). This computational method narrows down the errors and re-estimates it.

ChaoliMao/gps-automatic-mapping

Map a previously unmapped road with good precision after several walks and runs carrying a cheap GPS sensor (calculate average path).

ChaoliMao/lsoftmax-pytorch

The Pytorch Implementation of L-Softmax

ChaoliMao/vnet.pytorch

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

ChaoliMao/KalmanFilter

Kalman Filter Based On STM32, using for ADXL345 and MPU3050

ChaoliMao/SVD_C

Singular Value Decomposition in C

ChaoliMao/SVD-Jacobi

CPSC 440 Numerical Computation Assignment: Implementing Jacobi method to calculate SVD in C