Alternatives and similar repositories for UniTime

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

• AdityaLab / lstprompt
  ☆52Updated 10 months ago
• AdityaLab / Time-MMD
  ☆125Updated 4 months ago
• AdityaLab / MM-TSFlib
  ☆90Updated 4 months ago
• DC-research / TEMPO
  The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of …
  ☆109Updated 3 months ago
• SCXsunchenxi / TEST
  ☆62Updated last year
• VEWOXIC / TGTSF
  Official implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"
  ☆38Updated last month
• liaoyuhua / tempo-pytorch
  Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"
  ☆48Updated last year
• HaoUNSW / PISA
  ☆140Updated 11 months ago
• decisionintelligence / DUET
  [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
  ☆138Updated 3 weeks ago
• yxbian23 / aLLM4TS
  [ICML2024] Official repo for paper "Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning"
  ☆71Updated last month
• Levi-Ackman / Leddam
  [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…
  ☆54Updated 3 months ago
• icantnamemyself / SAN
  Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
  ☆100Updated last year
• ForestsKing / GLAFF
  PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…
  ☆117Updated 4 months ago
• panzijie825 / S2IP-LLM
  Official reponsitory for "S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting"
  ☆36Updated 10 months ago
• SJTU-DMTai / Awesome-Large-Models-for-Time-Series
  Papers for LLM and foundation models for time series analytics
  ☆38Updated 7 months ago
• BennyTMT / LLMsForTimeSeries
  ☆132Updated 3 months ago
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆83Updated 2 years ago
• ForestsKing / ChatTime
  PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [o…
  ☆83Updated last month
• TROUBADOUR000 / TimeFilter
  PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)
  ☆34Updated last week
• PSacfc / GPT4TS_Adapter
  ☆51Updated last year
• usail-hkust / t-PatchGNN
  Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …
  ☆100Updated last month
• Hank0626 / CALF
  Official implementation of "CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning" (AAAI 2025)
  ☆112Updated 2 months ago
• HyunWookL / TESTAM
  Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
  ☆51Updated 9 months ago
• ForestsKing / Awesome-Multimodal-Time-Series
  A curated list of paper, code, data, and other resources focus on multimodal time series analysis.
  ☆93Updated 2 weeks ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆52Updated 9 months ago
• ChenxiLiu-HNU / TimeCMA
  [AAAI 2025] Official implementation of "TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment"
  ☆60Updated 3 weeks ago
• wanghq21 / MICN
  Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)
  ☆117Updated 2 years ago
• UConn-DSIS / Empowering-Time-Series-Analysis-with-LLM
  Official website for "Empowering Time Series Analysis with Large Language Models: A Survey"
  ☆124Updated 11 months ago
• weifantt / Dish-TS
  Time Series Forecasting, Distribution Shift
  ☆86Updated last year
• SJTU-DMTai / LIFT
  The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…
  ☆86Updated 7 months ago