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3d-attention-keras

This repo contains the 3D implementation of the commonly used attention mechanism for imaging.

3d-liver-tumor-segmentation-using-monai

3d-rcan

Three-dimensional residual channel attention networks

adst

alphafold2

An implementation of Deepmind's Alphafold2 for 3D protein structure prediction.

apaunet-livervesselsegmentation

assignment1-rhyben94

assignment1-rhyben94 created by GitHub Classroom

ast-mtl

astgnn

This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

at-conv-lstm

A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction

attention-aware-3d-unet-for-rt-dose-prediction

Evaluate the feasibility of attention-gated 3D U-Net for knowledge-based planning dose prediction of head-and-neck radiotherapy.

auto-lsf-quantification-using-cnn-based-segmentation-and-elastix-based-registration

Quantification of Liver-Lung Shunt Fraction on 3D SPECT/CT Images for Selective Internal Radiation Therapy of Liver Cancer Using CNN-Based Segmentations and Nonrigid Registration

autocite

Codes and data for WSDM 2021 paper "AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation"

autost

[WWW'2023] "Automated Spatio-Temporal Graph Contrastive Learning"

bfrt

FedAvg for traffic flow prediction

bigscity-libcity-datasets

Traffic data processing tools in LibCity

bigscity-libcity-paperlist

Paper list in traffic prediction field

buaa-dl2021

BUAA-2021深度学习中作业

cms-lstm

source code of “CMS-LSTM: Context-Embedding and Multi-Scale Spatiotemporal-Expression LSTM for Video Prediction”

cnn-bilstm-network

CNN-Bidirectional LSTM network to forecast long term traffic flow in Madrid.

continuousgr

Continuous Gesture Segmentation and Recognition using 3DCNN and Convolutional LSTM

cope

Codes and data for CIKM 2021 paper "CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph"

crowd_flow_prediction

csl-tal

Pytorch code for ECCVW 2022 paper "Consistency-based Self-supervised Learning for Temporal Anomaly Localization"

cufar

d3_map_segmentation

A Novel Framework with Weighted Decision Map Based on Convolutional Neural Network for Cardiac MR Segmentation

dcnet

DCNet: Diversity Convolution Network for Ventricle Segmentation on Short-axis Cardiac Magnetic Resonance Images

deepst

Reconstruction of DeepST

dense-unet

DenseUnet

dgcn

The pytorch code of DGCN(TITS)