The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.085…
☆502Oct 1, 2025Updated 6 months ago
Alternatives and similar repositories for SAITS
Users that are interested in SAITS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute in…☆416Mar 17, 2026Updated last month
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neur…☆1,998Updated this week
- a Python toolbox loads 173 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domai…☆233Updated this week
- The tutorials for PyPOTS, guide you to model partially-observed time series datasets.☆127Dec 16, 2025Updated 4 months ago
- PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with…☆66Updated this week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆180Jun 22, 2022Updated 3 years ago
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆51May 8, 2025Updated 11 months ago
- a Python toolbox for benchmarking machine learning on POTS (Partially-Observed Time Series), supporting processing pipelines of 182 publi…☆41Updated this week
- Codes for: "Multivariate Time Series Imputation with Transformers"☆28Apr 28, 2023Updated 2 years ago
- Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'☆333May 24, 2025Updated 10 months ago
- Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"☆444Mar 14, 2024Updated 2 years ago
- ☆85Jun 26, 2019Updated 6 years ago
- NIPS2018 paper☆192Jan 20, 2019Updated 7 years ago
- Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.☆174Oct 29, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018☆410Feb 22, 2022Updated 4 years ago
- SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data☆40Aug 19, 2021Updated 4 years ago
- ☆85May 23, 2022Updated 3 years ago
- This is the official repository of the paper "NRTSI: Non-Recurrent Time Series Imputation"☆15Jun 2, 2023Updated 2 years ago
- TensorFlow implementation of BRITS model for multivariate time series imputation with bidirectional recurrent neural networks.☆13Apr 15, 2024Updated 2 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆143Mar 24, 2023Updated 3 years ago
- ☆17Jan 2, 2024Updated 2 years ago
- ☆13Oct 24, 2022Updated 3 years ago
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆951Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆53Oct 25, 2019Updated 6 years ago
- Resources about time series forecasting and deep learning.☆782Updated this week
- ☆19Sep 21, 2023Updated 2 years ago
- Machine learning for transportation data imputation and prediction.☆1,284Feb 20, 2026Updated last month
- This repository helps you automatically generate citation badges of articles/profiles on Google Scholar. With GitHub actions, you can mak…☆13Sep 11, 2023Updated 2 years ago
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Mar 3, 2025Updated last year
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆99Dec 29, 2024Updated last year
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆12,074Apr 9, 2026Updated last week
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆413Sep 13, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- An up-to-date list of time-series related papers in AI venues.☆436Jun 15, 2024Updated last year
- Multi-directional Recurrent Neural Networks (MRNN) - IEEE TBME 2019☆45Mar 10, 2020Updated 6 years ago
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆279Jul 7, 2025Updated 9 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆231Sep 2, 2025Updated 7 months ago
- ☆32Aug 28, 2021Updated 4 years ago
- A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.☆1,605Apr 6, 2024Updated 2 years ago
- ☆13Aug 2, 2021Updated 4 years ago