PaddlePaddle / PaddleSpatialLinks
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
☆369Updated last year
Alternatives and similar repositories for PaddleSpatial
Users that are interested in PaddleSpatial are comparing it to the libraries listed below
Sorting:
- Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting☆218Updated 3 years ago
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing☆238Updated 5 months ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆234Updated 2 years ago
- ☆270Updated 4 years ago
- ☆914Updated 2 years ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆555Updated last year
- Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting☆593Updated last year
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆174Updated 3 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
- ☆299Updated 3 years ago
- About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, …☆190Updated last year
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆179Updated 4 years ago
- Transformer based model for time series prediction☆134Updated 3 years ago
- ☆878Updated 8 years ago
- PyTorch implementation of AirFormer, AAAI-23☆155Updated 3 years ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆241Updated last year
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆237Updated last year
- 3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting☆139Updated 2 years ago
- ☆154Updated last year
- tsl: a PyTorch library for processing spatiotemporal data.☆363Updated 2 months ago
- ☆204Updated 2 years ago
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆940Updated 2 months ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆392Updated last year
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆211Updated last year
- ☆136Updated 2 years ago
- This is the PyTorch implementation of TPA-LSTM☆60Updated 6 years ago
- Convolutional Transformer for time series☆282Updated 5 years ago
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆668Updated 2 years ago
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆212Updated last year
- An up-to-date list of time-series related papers in AI venues.☆429Updated last year