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Chronos: Pretrained Models for Time Series Forecasting

AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.

TSCenter / awesome-time-series-papers

An Awesome List of the latest time series papers and code from top AI venues.

awslabs / gluonts

Probabilistic time series modeling in Python

microsoft / FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Nixtla / nixtla

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

tslearn-team / tslearn

The machine learning toolkit for time series analysis in Python

AIStream-Peelout / flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

skforecast / skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

fraunhoferportugal / tsfel

Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python

TimeCopilot / timecopilot

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.

sktime / pytorch-forecasting

Time series forecasting with PyTorch

decisionintelligence / TFB

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

DaoSword / Time-Series-Forecasting-and-Deep-Learning

Resources about time series forecasting and deep learning.

Nixtla / hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

birla-ai-labs / yug

Yug: a foundation model for zero-shot probabilistic time-series forecasting

PkLavc / Autotrader

Autonomous AI trading system powered by Kronos. Forecasts markets, builds portfolios and paper-trades automatically with GitHub Actions.

lixus7 / Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

LongxingTan / Time-series-prediction

tfts: Time Series Deep Learning Models in TensorFlow

reservoirpy / reservoirpy

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

47thtechcorner / RayCodes_Kronos

Kronos AI: Tiny Model That Beats Expensive Trading Bots - Open-source foundation model for financial candlesticks with Ollama Llama 3.2 Indian market analysis.