About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
☆2,480Feb 28, 2025Updated last year
Alternatives and similar repositories for Autoformer
Users that are interested in Autoformer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆816Aug 16, 2023Updated 2 years ago
- The GitHub repository for the paper "Informer" accepted by AAAI 2021.☆6,516Jun 20, 2025Updated last year
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,502Jan 27, 2024Updated 2 years ago
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆12,727Apr 18, 2026Updated 3 months ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,675Aug 12, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆563Aug 19, 2024Updated last year
- ☆304Jun 2, 2022Updated 4 years ago
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆669Jul 12, 2023Updated 3 years ago
- A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.☆2,996Aug 8, 2024Updated 2 years ago
- The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.☆971Jun 4, 2021Updated 5 years ago
- PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting☆309Jun 25, 2026Updated last month
- ☆894Apr 9, 2017Updated 9 years ago
- About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pd…☆1,104Apr 2, 2024Updated 2 years ago
- ☆138Feb 7, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Serie…☆699Dec 1, 2023Updated 2 years ago
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)☆2,196Jul 17, 2025Updated last year
- Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)☆602Feb 19, 2023Updated 3 years ago
- This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction …☆3,188Jun 3, 2026Updated 2 months ago
- Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting☆220Jun 10, 2022Updated 4 years ago
- Time series forecasting with PyTorch☆4,968Updated this week
- About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, …☆185Jan 3, 2025Updated last year
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆129Feb 11, 2023Updated 3 years ago
- ☆936Jul 6, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Probabilistic time series modeling in Python☆5,224Jul 31, 2026Updated last week
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆432Sep 13, 2024Updated last year
- A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.☆1,620Apr 6, 2024Updated 2 years ago
- About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://o…☆1,038Dec 29, 2023Updated 2 years ago
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,292Updated this week
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆6,102Jul 23, 2026Updated 2 weeks ago
- PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend☆1,369Jun 14, 2024Updated 2 years ago
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆666Jan 8, 2024Updated 2 years ago
- List of papers, code and experiments using deep learning for time series forecasting☆2,778Mar 16, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Scalable and user friendly neural forecasting algorithms.☆4,236Updated this week
- A universal time series representation learning framework☆865Jul 29, 2024Updated 2 years ago
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing☆247Jul 21, 2025Updated last year
- ☆684Jun 7, 2023Updated 3 years ago
- ☆98Oct 31, 2022Updated 3 years ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆239Jun 25, 2026Updated last month
- About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf☆335Jul 18, 2024Updated 2 years ago