WenjieDu / SAITS
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…
☆329Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for SAITS
- Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete ti…☆210Updated 4 months ago
- a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domai…☆167Updated 2 months ago
- An up-to-date list of time-series related papers in AI venues.☆368Updated 5 months ago
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neur…☆1,105Updated 3 weeks ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆278Updated 2 months ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆477Updated 3 months ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆219Updated last year
- A universal time series representation learning framework☆620Updated 3 months ago
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆283Updated 6 months ago
- Resources about time series forecasting and deep learning.☆572Updated this week
- PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with…☆33Updated 2 months ago
- Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Serie…☆475Updated 11 months ago
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆810Updated 2 months ago
- A comprehensive survey on the time series domains☆511Updated 7 months ago
- PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"☆244Updated 2 years ago
- Self-supervised contrastive learning for time series via time-frequency consistency☆439Updated 6 months ago
- PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting☆263Updated 6 months ago
- ☆203Updated 4 years ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆149Updated 2 years ago
- The tutorials for PyPOTS, guide you to model partially-observed time series datasets.☆59Updated 4 months ago
- Repository of Transformer based PyTorch Time Series Models☆291Updated last week
- A curated list of state-of-the-art papers on deep learning for universal representations of time series.☆134Updated 3 months ago
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆186Updated 4 months ago
- PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)☆352Updated 10 months ago
- Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"☆305Updated 8 months ago
- ☆649Updated last year
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆634Updated last year
- ☆190Updated 2 years ago
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆201Updated 7 months ago
- Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'☆280Updated 8 months ago