Statistics for topic time-series-forecasting

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the typ...

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

[ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the typ...

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's ca...

A curated list of paper, code, data, and other resources focus on multimodal time series analysis.

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

[KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This work is developed by the Lab of Professor Feiping Nie (feiping...

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the typ...

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

A curated list of paper, code, data, and other resources focus on multimodal time series analysis.

[KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

MOMENT: A Family of Open Time-series Foundation Models

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

[KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's ca...

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the typ...

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

MOMENT: A Family of Open Time-series Foundation Models

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"