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pytorch_classification icon pytorch_classification

利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码

research-v4d icon research-v4d

V4D: 4D Convolutional Neural Networks for Video-level Representation Learning

rpconvformer icon rpconvformer

Improved Transformer based on Tensoflow implementation for traffic flow predictive modeling

sa-det3d icon sa-det3d

SA-Det3D: Self-attention based Context-Aware 3D Object Detection [ICCV-AvVision-2021]

senet icon senet

Squeeze-and-Excitation Networks

skillful_nowcasting icon skillful_nowcasting

Implementation of DeepMind's Skillful Nowcasting GAN https://arxiv.org/abs/2104.00954

st-3dmddn icon st-3dmddn

Paper: Deep Spatio-temporal 3D Dilated Dense Neural Network For Traffic Flow Prediction

st-3dnet icon st-3dnet

This is a Pytorch implementation of ST-3DNet. Now the corresponding paper is available at https://ieeexplore.ieee.org/abstract/document/8684259/

st-attn icon st-attn

Multi-step Citywide Crowd Flow Prediction

st-hattn icon st-hattn

A spatiotemporal hierarchical attention mechanism for Multi-step station-level crowd flow prediction

st-metanet icon st-metanet

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

st-resnet icon st-resnet

Implementation of the paper - Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

st3dnet icon st3dnet

Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting, TITS 2019

stag-gcn icon stag-gcn

Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting

stawnet icon stawnet

An end-to-end deep learning model for spatial-temporal prediction

stdensenet icon stdensenet

Source code of Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks

stdn icon stdn

Code for our Spatiotemporal Dynamic Network

stg-ncde icon stg-ncde

"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

stgcn icon stgcn

Undergraduate graduation project: Spatial-Temporal Data Analysis based on Graph Convolution Network

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