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chaoli mao's Projects

lenet-5 icon lenet-5

PyTorch implementation of LeNet-5 with live visualization

liblbfgs icon liblbfgs

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

lstm-gcn-traffic icon lstm-gcn-traffic

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

ms-gat icon ms-gat

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

ngsim-tools icon ngsim-tools

This repository collects a set of tools for extracting, visualizing, and simulating Next Generation Simulation (NGSIM) dataset. The tools are originally developed by Stanford Intelligent Systems Laboratory.

ngsim_flexible_testbed icon ngsim_flexible_testbed

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

nlp-loss-pytorch icon nlp-loss-pytorch

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

nnpostprocess icon nnpostprocess

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

pinf_smoke icon 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.

pytorch-cifar100 icon 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)

pytorch-seq2seq icon pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

reconstruction_pxw icon reconstruction_pxw

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

rrb icon rrb

Official implementation of "Injecting Knowledge in Data-driven Vehicle Trajectory Predictors", Published in Transportation research part C.

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