Alternatives and similar repositories for time-series-analysis

Users that are interested in time-series-analysis are comparing it to the libraries listed below

• DaoSword / Time-Series-Forecasting-and-Deep-Learning
  Resources about time series forecasting and deep learning.
  ☆726Updated this week
• ibm-granite / granite-tsfm
  Foundation Models for Time Series
  ☆711Updated this week
• cchallu / nbeatsx
  ☆205Updated 3 years ago
• Hupperich-Manuel / LSTM-XGBoost-Hybrid-Forecasting
  LSTM-XGBoost Time Series Forecasting
  ☆149Updated last year
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆253Updated 10 months ago
• Secilia-Cxy / SOFTS
  Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.
  ☆266Updated 3 months ago
• salesforce / DeepTime
  PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
  ☆364Updated 5 months ago
• thuml / Nonstationary_Transformers
  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…
  ☆542Updated last year
• ditschuk / pytorch-tsmixer
  A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.
  ☆176Updated last year
• kashif / pytorch-transformer-ts
  Repository of Transformer based PyTorch Time Series Models
  ☆312Updated 11 months ago
• cchallu / n-hits
  ☆184Updated 2 years ago
• greatwhiz / tft_tf2
  Temporal Fusion Transformers for Tensorflow 2.x
  ☆178Updated 2 years ago
• mims-harvard / UniTS
  A unified multi-task time series model.
  ☆570Updated last year
• thuml / TimeXer
  Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)
  ☆373Updated 10 months ago
• DataCanvasIO / HyperTS
  A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
  ☆282Updated 6 months ago
• Daniela-Shereen / GBRT-for-TSF
  ☆204Updated 2 years ago
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆232Updated 5 years ago
• AIStream-Peelout / flow_tutorials
  Public tutorials of using Flow Forecast for forecasting and classifying time series data
  ☆48Updated last year
• husnejahan / DeepAR-pytorch
  ☆266Updated 4 years ago
• hyliush / deep-time-series
  Deep learning PyTorch library for time series forecasting
  ☆129Updated 2 years ago
• WenjieDu / BrewPOTS
  The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
  ☆116Updated 3 weeks ago
• plumprc / MTS-Mixers
  MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
  ☆228Updated 2 months ago
• Time-MoE / Time-MoE
  [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"
  ☆795Updated 4 months ago
• salesforce / ETSformer
  PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
  ☆291Updated last year
• danielhkt / deep-forecasting
  Perform multivariate time series forecasting using LSTM networks and DeepLIFT for interpretation
  ☆87Updated 3 years ago
• SalesforceAIResearch / uni2ts
  Unified Training of Universal Time Series Forecasting Transformers
  ☆1,289Updated 2 months ago
• moment-timeseries-foundation-model / moment
  MOMENT: A Family of Open Time-series Foundation Models, ICML'24
  ☆619Updated 5 months ago
• ngruver / llmtime
  ☆806Updated last year
• DAMO-DI-ML / NeurIPS2023-One-Fits-All
  The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
  ☆613Updated last year
• KasperGroesLudvigsen / influenza_transformer
  PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
  ☆258Updated 3 years ago