lalababa/Time-Series-Library

Time-Series-Library (TSLib) 是一个面向深度学习研究者的开源库，专注于深度时间序列分析。该库提供了一个整洁的代码基础，用于评估先进的深度时间序列模型或开发新模型，涵盖了五大主流任务：长期和短期预测、插值、异常检测和分类。这个基准数据集集合旨在评估和开发先进的深度时间序列模型。

Time-Series-Library (TSLib) is an open-source library for deep learning researchers, focusing on deep time series analysis. The library provides a neat code base for evaluating advanced deep time series models or developing new ones, covering five mainstream tasks: long-term and short-term forecasting, imputation, anomaly detection, and classification. This benchmark collection is designed to evaluate and develop advanced deep time-series models.