The machine learning toolkit for time series analysis in Python
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Updated
Oct 30, 2026 - Python
The machine learning toolkit for time series analysis in Python
About model release for "Sundial: A Family of Highly Capable Time Series Foundation Models" (ICML 2025 Oral)
A curated list of papers & resources on anomaly detection foundation models using large language model, vision-language model, graph foundation model, time series foundation model, etc
Python sdk for zero-shot time-series forecasting
Yug: a foundation model for zero-shot probabilistic time-series forecasting
[NeurIPS 2026] Inertia-1: An Open Exploration of Wearable Motion Foundation Models
[KDD 2026] Official implementation of KDD'26 paper "TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection"
The official PyTorch implementation of our NeurIPS'25 paper: Synthetic Series-Symbol Data Generation for Time Series Foundation Models.
The official code repository for our ICLR 2026 paper, Adaptive Transformation Optimization for Domain-Shared Time Series Foundation Models.
JS sdk for zero-shot time-series forecasting
[NIPS2026] VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection
Manifest-backed, local-first reproducibility layer for fair time-series forecasting — official model bridges, sealed run cards, and interactive evidence views.
Real-market empirical reproduction companion for the AlphaQuant Itô × TSFM volatility-drag portfolio framework: pre-registered backtests, lightweight datasets, and interactive Next.js web lab.
MCP server for time-series foundation model (TSFM) forecasting: probabilistic forecasts from Chronos-2, TimesFM 2.5, Toto 2, TiRex-2 and IBM Granite models, or an accuracy-weighted ensemble.
Speculative idea notebook: time-series foundation models, implicit world models for RL, cache-native LLM memory, and a token language
Forecasting airport terminal passenger flows with known-future flight schedule information: simulator, schedule-conditioned models and controls for the paper "The Schedule Is the Signal"
[2026 연합 경제 학술제] 이토 보조정리 × TSFM(Chronos-Bolt) 기반 동적 자산배분 및 변동성 항력(Volatility Drag) 제어 연구 - 기하성장률 극대화 볼록 최적화(Itô-Kelly), 모멘트 추정, NDE 꼬리위험 세이프가드 기반 동적 자산배분 시스템
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