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

• Frank-Wang-oss / FCSTGNN
  ☆107Updated last year
• Levi-Ackman / Leddam
  [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…
  ☆53Updated 2 months ago
• YoZhibo / MSGNet
  MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)
  ☆167Updated last year
• wayne155 / FAN
  ☆49Updated 4 months ago
• ChenxiLiu-HNU / TimeCMA
  [AAAI 2025] Official implementation of "TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment"
  ☆36Updated 2 months ago
• wintertee / DiPE-Linear
  Official implementation for "Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting" https://arxiv.org…
  ☆16Updated 4 months ago
• SCXsunchenxi / TEST
  ☆59Updated last year
• decisionintelligence / CATCH
  [ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
  ☆48Updated last month
• panzijie825 / S2IP-LLM
  Official reponsitory for "S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting"
  ☆32Updated 9 months ago
• kutaytire / Retrieval-Augmented-Time-Series-Forecasting
  ☆34Updated 5 months ago
• AdityaLab / Time-MMD
  ☆117Updated 3 months ago
• thuml / SimMTM
  About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…
  ☆126Updated 11 months ago
• CityMind-Lab / NeurIPS24-Attraos
  [NeurIPS2024] Attractor memory for long-term time series forecasting: A chaos perspective
  ☆18Updated 5 months ago
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆89Updated last month
• TangPeiwang / PatchMLP
  ☆16Updated 2 months ago
• shangzongjiang / Ada-MSHyper
  ☆50Updated 2 months ago
• SJTU-DMTai / LIFT
  The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…
  ☆84Updated 5 months ago
• icantnamemyself / SAN
  Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
  ☆96Updated last year
• zshhans / MSD-Mixer
  [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
  ☆89Updated 7 months ago
• plumprc / RTSF
  Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
  ☆81Updated last year
• Graph-and-Geometric-Learning / TimeSeriesCCM
  Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"
  ☆43Updated 5 months ago
• aikunyi / FreTS
  Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"
  ☆175Updated last year
• hqh0728 / HDMixer
  ☆43Updated last year
• chunhuiz / MiTSformer
  Official implementations of "Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery…
  ☆18Updated 4 months ago
• Vincent665 / MGCN-for-Traffic-Prediction
  The repo is the official implementation for the paper: [MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network for Long-Term T…
  ☆13Updated last month
• JeremyChou28 / MTSCI
  The official source code of MTSCI: A Conditional Diffusion Model for Consistent Imputation in Incomplete Time Series
  ☆21Updated 5 months ago
• ljj-cyber / TopoGDN
  Code repository of “Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis”
  ☆21Updated 3 months ago
• wanghq21 / MICN
  Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)
  ☆112Updated 2 years ago
• usail-hkust / t-PatchGNN
  Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …
  ☆93Updated last week
• liaoyuhua / tempo-pytorch
  Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"
  ☆48Updated last year