Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).

A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective

Open Implementations of Large Time-Series Models

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

Official PyTorch implementation of OTiS: An open model for general time series analysis.

Official repository of Polarity-aware Linear Attention for Vision Transformers (ICLR 2025)

Foundation Models for Time Series

ChronoEpilogi: Scalable Time-Series Variable Selection with Multiple Solutions

Supporting code for the NeurIPS 2024 paper "Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series".

Heterogeneous Pre-trained Transformer (HPT) as Scalable Policy Learner.

PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437

This project provides a comprehensive toolset for feature selection using LightGBM, a gradient boosting framework that uses tree-based learning algorithms. The primary goal is to improve model perf…

UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model

Official Implementation of SimStock : Representation Model for Stock Similarities

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)

This is the project for deep learning in stock market prediction.

An open-access benchmark and toolbox for electricity price forecasting

PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".

The code of PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability

我们致力于量化知识的开源与汉化，打破国内外量化金融行业信息差。

MATCC: A Novel Approach for Robust Stock Price Prediction Incorporating Market Trends and Cross_time Correlations

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"

This is the official PyTorch implementation of the paper: TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation