deerta0103

GAN

运用GAN来进行交通流预测和数据修复

Fusion-3DCNN-Traffic-congestion

S1S2VHSR

Multi-sensor and Multi-scale data fusion through Convolutional Neural Networks

Traffic-dYnamic-gRaph-modEl

STG2Seq

Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

TumorSegmentation

Liver Tumor Semantic Segmentation based on PyTorch

ADST

Liver-Segmentation-with-AttentionUNet

Automatic Liver Segmentation of CT Volumes Using 2D Attention-UNet

Zero-Learning-Fast-Medical-Image-Fusion

A real-time image fusion method using pre-trained neural networks

DeepST

Reconstruction of DeepST

MyGeoMan

MIM

Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" (CVPR 2019)

UrbanPy

STAR

STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction, MDM, 2019

assignment1-rhyben94

assignment1-rhyben94 created by GitHub Classroom

E3D-LSTM

Unofficial PyTorch implementation of E3D-LSTM

traffic_prediction-1

The source code for citywide wireless traffic prediction based on deep learning (DenseNet)

Liver_And_Tumor_Segmentation_UI

a PyQt5 Implementation

VNet

MSc. Thesis - 3D Convolutional Neural Network for Liver Tumor Segmentation

Liver-Tumor-Segmentation

Liver and liver tumors segmentation using deep learning