chaolimao Goto Github PK

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.

pinns

pythonrobotics

Python sample codes for robotics algorithms.

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-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-mdn

Mixture Density Networks for PyTorch

pytorch-seq2seq

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

reconstruction-ngsim-trajectory-with-dmd-and-res_unet_plus

This contains the model and data for reconstructing NGSIM dataset

reconstruction_pxw

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

rrb

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

sensor-fusion

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

sit_trajectoryprediction

Trajectory prediction on the NGSIM dataset.

solar_weather_forecast

Solar flares forecast using deep learning.

stag-gcn

Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting

stock_predict_with_lstm

Predict stock with LSTM supporting pytorch, keras and tensorflow

svd-jacobi

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

svd_c

Singular Value Decomposition in C

t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

tensor2tensor

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

testing_pinns

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

tht-cnn

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

togcn-v2x

The official implementation of the paper "Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction"

torchgraphs

A PyTorch library for Graph Convolutional Networks.

traffic-prediction

traffic-prediction using LSTM and GCN by pytorch

traffic_data_projection_using_graph-convolution

Using GCN and ChebNet implement traffic flow data prediction.

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).

trajectory-transformer

Code for "Transformer Networks for Trajectory Forecasting"

transformer

PyTorch Implementation of "Attention Is All You Need"

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".

ukflib

Unscented Kalman Filter (UKF)