Alternatives and similar repositories for SimMTM

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

• Mingyue-Cheng / TimeMAE
  ☆99Updated 6 months ago
• Alrash / TimesURL
  The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"
  ☆81Updated last year
• weifantt / Dish-TS
  Time Series Forecasting, Distribution Shift
  ☆86Updated last year
• Leezekun / ViTST
  [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."
  ☆146Updated last year
• qianlima-lab / time-series-ptms
  This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).
  ☆179Updated 7 months ago
• zshhans / MSD-Mixer
  [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
  ☆92Updated 9 months ago
• BorealisAI / scaleformer
  ☆133Updated 2 years ago
• plumprc / RTSF
  Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
  ☆83Updated last year
• VEWOXIC / FITS
  FITS: Frequency Interpolation Time Series Analysis Baseline
  ☆186Updated last month
• SCXsunchenxi / TEST
  ☆62Updated last year
• emadeldeen24 / CA-TCC
  [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
  ☆150Updated last year
• seunghan96 / softclt
  ☆73Updated last year
• AdityaLab / Time-MMD
  ☆125Updated 4 months 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
• icantnamemyself / SAN
  Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
  ☆100Updated last year
• aikunyi / FreTS
  Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"
  ☆179Updated last year
• ranakroychowdhury / TARNet
  Task-Aware Reconstruction for Time-Series Transformer
  ☆61Updated 2 years ago
• YoZhibo / MSGNet
  MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)
  ☆172Updated last year
• BennyTMT / LLMsForTimeSeries
  ☆131Updated 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.
  ☆169Updated last week
• salesforce / CoST
  PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
  ☆224Updated 2 years ago
• decisionintelligence / CATCH
  [ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
  ☆65Updated this week
• liaoyuhua / tempo-pytorch
  Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"
  ☆48Updated 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
• emadeldeen24 / TSLANet
  [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…
  ☆195Updated 8 months ago
• Graph-and-Geometric-Learning / TimeSeriesCCM
  Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"
  ☆49Updated 7 months ago
• seunghan96 / pits
  ☆70Updated last year
• decisionintelligence / pathformer
  ☆219Updated 9 months ago
• xuanmay2701 / shapeformer
  ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification
  ☆98Updated 5 months ago
• nzl5116190 / Basisformer
  This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…
  ☆93Updated 6 months ago