Alternatives and similar repositories for ts-forecaster

Users that are interested in ts-forecaster are comparing it to the libraries listed below

• ibm-granite / granite-tsfm
  Foundation Models for Time Series
  ☆773Updated last week
• marcopeix / time-series-analysis
  Collection of notebooks for time series analysis
  ☆421Updated 2 months ago
• time-series-foundation-models / lag-llama
  Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
  ☆1,540Updated 7 months ago
• pfnet-research / timesfm_fin
  ☆102Updated last year
• ngruver / llmtime
  ☆820Updated last year
• SalesforceAIResearch / uni2ts
  Unified Training of Universal Time Series Forecasting Transformers
  ☆1,401Updated this week
• salesforce / DeepTime
  PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
  ☆366Updated 9 months ago
• Time-MoE / Time-MoE
  [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"
  ☆894Updated last month
• greatwhiz / tft_tf2
  Temporal Fusion Transformers for Tensorflow 2.x
  ☆185Updated 2 years ago
• DaoSword / Time-Series-Forecasting-and-Deep-Learning
  Resources about time series forecasting and deep learning.
  ☆760Updated this week
• cchallu / nbeatsx
  ☆210Updated 3 years ago
• zshicode / MambaStock
  MambaStock: Selective state space model for stock prediction
  ☆183Updated last year
• lucidrains / iTransformer
  Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
  ☆533Updated 7 months ago
• moment-timeseries-foundation-model / moment
  MOMENT: A Family of Open Time-series Foundation Models, ICML'24
  ☆697Updated 8 months ago
• lhw828 / timesfm
  Google timesfm 实战部署/本地部署详细记录
  ☆102Updated last year
• ditschuk / pytorch-tsmixer
  A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.
  ☆185Updated 2 years ago
• kashif / pytorch-transformer-ts
  Repository of Transformer based PyTorch Time Series Models
  ☆316Updated last year
• koa-fin / sep
  Code release for "Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models" https://arxiv.org/abs/2…
  ☆168Updated last year
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆241Updated 5 years ago
• liaoyuhua / LLM4TS
  Large Language & Foundation Models for Time Series.
  ☆558Updated last year
• TongjiFinLab / awesome-time-series-forecasting
  Awesome time series forecasting papers and codes
  ☆221Updated 3 months ago
• mims-harvard / UniTS
  A unified multi-task time series model.
  ☆610Updated last year
• thuml / Large-Time-Series-Model
  Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and sub…
  ☆921Updated 6 months ago
• SJTU-DMTai / StockMixer
  Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".
  ☆341Updated last year
• cchallu / n-hits
  ☆193Updated 2 years ago
• ServiceNow / N-BEATS
  N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …
  ☆602Updated 3 years ago
• frinkleko / FinReport
  [WWW'2024] "FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model"
  ☆103Updated 10 months ago
• Secilia-Cxy / SOFTS
  Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.
  ☆277Updated 6 months ago
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆257Updated last year
• koa-fin / dva
  Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…
  ☆104Updated last year