Stars
A survey and paper list of current Spatio-Temporal Foundation Models from the pipeline perspective with awesome resources (paper, code, survey, etc.).
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Time-R1 is a two-stage reinforcement fine-tuning framework that trains large language models to perform slow-thinking, step-by-step reasoning for accurate and explainable time series forecasting.
Time-Series-Optimized Transformer for Observability
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A curated (most recent) list of resources for Learning with Noisy Labels
Official implementation of "Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting" (KDD'25), a novel online time series forecasting framework.
Implementations, Pre-training Code and Datasets of Large Time-Series Models
Unified Training of Universal Time Series Forecasting Transformers
An Optimizing Framework on MLIR for Efficient FPGA-based Accelerator Generation
Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subsequent works
Papers for LLM and foundation models for time series analytics
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
tracking papers, datasets, and models of "large language model (LLM) for time series"
Papers about training data quality management for ML models.
The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.
Awesome Incremental Learning
The official implementation of AAAI'24 paper: Self-Interpretable Graph Learning with Sufficient and Necessary Explanations.
PostgreSQL extension for supporting deep learning model inference within the database and vector storage
A Large-scale Hierarchical Dynamic Financial Knowledge Base
This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price for…
Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".
This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling》
Reading list for research topics in multimodal machine learning
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
K-Quant: A Platform of Temporal Financial Knowledge-enhanced Quantitative Investment