The machine learning toolkit for time series analysis in Python
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Updated
Oct 7, 2026 - Python
The machine learning toolkit for time series analysis in Python
An Awesome List of the latest time series papers and code from top AI venues.
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"
The official code 👩💻 for - TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Codebase for TIME benchmark
[NeurIPS 2025] Official implementation of "SEMPO: Lightweight Foundation Models for Time Series Forecasting"
This is an official pytorch implementation for paper "A Unified Shape-Aware Foundation Model for Time Series Classification" (AAAI-26).
On the Practicability of Deep Learning based Anomaly Detection for Modern Online Software Systems: A Pre-Train-and-Align Framework (TOSEM 2025)
TinHau: A Time-series Foundation Model for Building Energy Forecasting
Fracast-0 is an 85K-parameter pretrained Time Series Foundation Model, small enough to load directly in a web page.
Class-Incremental Learning on Time Series Foundation Model
[NeurIPS 2025] Official implementation of "SEMPO: Lightweight Foundation Models for Time Series Forecasting"
Code, model adapter, and reproducibility demo for market-mechanism-informed real-time electricity price forecasting.
Customize Totem of Undying particle colors, size, and amount using an in-game GUI for Minecraft Forge 1.12.2.
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