Alternatives and similar repositories for RATD:

Users that are interested in RATD are comparing it to the libraries listed below

• AdityaLab / lstprompt
  ☆45Updated 7 months ago
• usail-hkust / t-PatchGNN
  Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …
  ☆84Updated 4 months ago
• liuxu77 / UniTime
  UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)
  ☆88Updated last year
• Levi-Ackman / Leddam
  [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…
  ☆49Updated 3 weeks ago
• shangzongjiang / Ada-MSHyper
  ☆43Updated last month
• AdityaLab / Time-MMD
  ☆103Updated 2 months ago
• Graph-and-Geometric-Learning / TimeSeriesCCM
  Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"
  ☆37Updated 4 months ago
• XiangMa-Shaun / U-Mixer
  ☆17Updated 3 months ago
• VEWOXIC / TGTSF
  Official implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"
  ☆28Updated 4 months ago
• JIANGYUE61610306 / SAGDFN
  This is the PyTorch official implementation of SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Ser…
  ☆15Updated last year
• AdityaLab / MM-TSFlib
  ☆76Updated 2 months ago
• wenhaomin / DiffSTG
  Code for DiffSTG
  ☆64Updated last year
• TROUBADOUR000 / AMD
  PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)
  ☆34Updated 8 months ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆46Updated 6 months ago
• panzijie825 / S2IP-LLM
  Official reponsitory for "S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting"
  ☆27Updated 8 months ago
• HyunWookL / TESTAM
  Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
  ☆47Updated 7 months ago
• ForestsKing / GLAFF
  PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…
  ☆95Updated 2 months ago
• decisionintelligence / DUET
  [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
  ☆84Updated 3 weeks ago
• LiYuxin321 / TMDM
  Code for the paper Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting
  ☆18Updated 9 months ago
• liaoyuhua / tempo-pytorch
  Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"
  ☆48Updated last year
• zclzcl0223 / TimeLinear
  Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"
  ☆34Updated 2 months ago
• LJC-FVNR / CATS
  CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables [ICML 2024]
  ☆19Updated 7 months ago
• daxin007 / ARMD
  [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"
  ☆59Updated last month
• hqh0728 / HDMixer
  ☆42Updated last year
• hqh0728 / CrossGNN
  The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
  ☆30Updated last year
• zshhans / MSD-Mixer
  [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
  ☆87Updated 6 months ago
• CityMind-Lab / NeurIPS24-Attraos
  [NeurIPS2024] Attractor memory for long-term time series forecasting: A chaos perspective
  ☆15Updated 3 months ago
• zhangzw16 / SageFormer
  Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".
  ☆58Updated 11 months ago