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[CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".
The official source code of MTSCI: A Conditional Diffusion Model for Consistent Imputation in Incomplete Time Series
Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks'
A Collaborative Trajectory Representation model (CTRNext) to enhance the next POI recommendation
Diff-DGMN: A Diffusion-based Dual Graph Multi-attention Network for POI Recommendation
Laplacian convolutional representation for traffic time series imputation. (IEEE TKDE'24)
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
📲 A web chat application. Vue + node(koa2) + Mysql + socket.io
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）