Papers with Code 아카이브
Traffic Prediction
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Traffic Prediction is a task that involves forecasting traffic conditions, such as the volume of vehicles and travel time, in a specific area or along a particular road. This task is important for optimizing transportation systems and reducing traffic congestion.
<span style="color:grey; opacity: 0.6">( Image credit: BaiduTraffic )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/caow13/BRITS
https://github.com/chenxiliu-hnu/timecma
Spatial-Temporal Large Language Model for Traffic Prediction
https://github.com/chnsh/DCRNN
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
https://github.com/chnsh/DCRNN_PyTorch
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
https://github.com/code-implementation1/Code1/tree/main/dcrnn
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
https://github.com/cosmoquester/seq2seq
https://github.com/cure-lab/SCINet
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
https://github.com/david-amirault/amhs
Incrementally Improving Graph WaveNet Performance on Traffic Prediction
https://github.com/deepkashiwa20/VLUC
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
https://github.com/dewanderelex/LanguageTranslation
https://github.com/dksifoua/Neural-Machine-Translation
https://github.com/dltcls/g2p_pytorch_wiktionary
https://github.com/dmlc/dgl/tree/master/examples/pytorch/dtgrnn
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
https://github.com/dongdong199408/teachchatrobot
https://github.com/farizrahman4u/seq2seq
https://github.com/flaviagiammarino/brits-tensorflow
https://github.com/francescodisalvo05/66DaysOfData
https://github.com/giallo41/taxi-demand
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
https://github.com/giovanniguidi/Seq-2-Seq-OCR
https://github.com/guoshnbjtu/astgcn-r-pytorch
https://github.com/hazdzz/STGCN
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
https://github.com/hnt4499/seq2seq
https://github.com/isi-nlp/Zoph_RNN
https://github.com/jklafka/noisy-nets
https://github.com/josegg05/eRGWnet
https://github.com/karanthakkar97/Text-summarization-with-Seq2Seq
https://github.com/karlie38/torchstudy
https://github.com/kingcong/gpu_gru
https://github.com/kirillermolov/ChatBot
https://github.com/la-serene/English-German-Translation-System
https://github.com/lakshmichaitanyach/project_2
https://github.com/laserene/English-German-Translation-System
https://github.com/ldphenshuai/STGCN
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
https://github.com/littleflow3r/Japanese_English_Machine_Translation_Seq2Seq
https://github.com/littleflow3r/SeqtoSeq_learning_for_machine_translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.