PaddlePaddle / PaddleSpatialLinks
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
☆370Updated last year
Alternatives and similar repositories for PaddleSpatial
Users that are interested in PaddleSpatial are comparing it to the libraries listed below
Sorting:
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing☆242Updated 6 months ago
- Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting☆218Updated 3 years ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆235Updated 2 years ago
- ☆917Updated 2 years ago
- ☆300Updated 3 years ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆556Updated last year
- Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting☆596Updated last year
- Transformer based model for time series prediction☆134Updated 3 years ago
- PyTorch implementation of AirFormer, AAAI-23☆156Updated 3 years ago
- ☆270Updated 4 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆180Updated 4 years ago
- 3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting☆144Updated 2 years ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆175Updated 3 years ago
- [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022☆63Updated 2 years ago
- ☆137Updated 3 years ago
- Convolutional Transformer for time series☆282Updated 5 years ago
- A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.☆166Updated 3 years ago
- About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, …☆190Updated last year
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆241Updated last year
- This is the PyTorch implementation of TPA-LSTM☆60Updated 6 years ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆64Updated last year
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆239Updated last year
- ☆155Updated last year
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆943Updated 2 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆100Updated 2 months ago
- Adaptive Graph Convolutional Recurrent Network☆417Updated last year
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆669Updated 2 years ago
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆216Updated last year
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆93Updated 2 years ago
- ☆204Updated 2 years ago