Alternatives and similar repositories for Awesome-irregular-incomplete-time-series

Users that are interested in Awesome-irregular-incomplete-time-series are comparing it to the libraries listed below

• YoZhibo / MSGNet
  MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)
  ☆186Updated last year
• USTCAGI / Awesome-Papers-Time-Series-Forecasting
  ☆50Updated 6 months ago
• lss-1138 / SparseTSF
  [TPAMI 2025 & ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k …
  ☆226Updated 3 weeks ago
• Levi-Ackman / Leddam
  [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…
  ☆68Updated 7 months ago
• usail-hkust / t-PatchGNN
  Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …
  ☆114Updated 5 months ago
• decisionintelligence / pathformer
  ☆233Updated last year
• decisionintelligence / CATCH
  [ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
  ☆103Updated last month
• UConn-DSIS / Multi-modal-Time-Series-Analysis
  Awesome Multi-modal Time Series Analysis
  ☆83Updated 4 months ago
• kutaytire / Retrieval-Augmented-Time-Series-Forecasting
  ☆46Updated 9 months ago
• AdityaLab / Time-MMD
  ☆154Updated 8 months ago
• decisionintelligence / DUET
  [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
  ☆188Updated 2 months ago
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆97Updated 6 months ago
• plumprc / RTSF
  Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
  ☆90Updated 2 years ago
• wintertee / DiPE-Linear
  Official implementation for "Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting" https://arxiv.org…
  ☆17Updated 9 months ago
• TROUBADOUR000 / TimeFilter
  PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)
  ☆57Updated 2 months ago
• SJTU-DMTai / Awesome-Large-Models-for-Time-Series
  Papers for LLM and foundation models for time series analytics
  ☆44Updated 11 months ago
• yoshall / AirFormer
  PyTorch implementation of AirFormer, AAAI-23
  ☆144Updated 2 years ago
• aikunyi / FourierGNN
  Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"
  ☆227Updated last year
• ACAT-SCUT / CycleNet
  [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…
  ☆192Updated 4 months ago
• ForestsKing / Awesome-Multimodal-Time-Series
  A curated list of paper, code, data, and other resources focus on multimodal time series analysis.
  ☆147Updated 3 weeks ago
• Graph-and-Geometric-Learning / TimeSeriesCCM
  Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"
  ☆62Updated 10 months ago
• Frank-Wang-oss / FCSTGNN
  ☆117Updated last year
• VEWOXIC / FITS
  FITS: Frequency Interpolation Time Series Analysis Baseline
  ☆211Updated 2 weeks ago
• ForestsKing / GLAFF
  PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…
  ☆124Updated 2 months ago
• aikunyi / FreTS
  Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"
  ☆187Updated last year
• TangPeiwang / PatchMLP
  ☆35Updated 7 months ago
• shangzongjiang / Ada-MSHyper
  ☆64Updated 7 months ago
• tongnie / ImputeFormer
  [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
  ☆46Updated 4 months ago
• yalavarthivk / GraFITi
  ☆23Updated 3 months ago
• itouchz / awesome-deep-time-series-representations
  A curated list of state-of-the-art papers on deep learning for universal representations of time series.
  ☆184Updated 2 months ago