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IBM / AssetOpsBench

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.

β–² ~21/7d β˜… 2.4k Python 2d ago
awslabs / gluonts

Probabilistic time series modeling in Python

β–² ~7/7d β˜… 5.2k Python 9d ago
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 πŸš€.

β–² ~7/7d β˜… 4.0k Jupyter Notebook 1d ago
AIStream-Peelout / flow-forecast

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

β–² ~7/7d β˜… 2.3k Python 10d ago
decisionintelligence / TFB

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

β–² ~7/7d β˜… 1.8k Shell 14d ago
skforecast / skforecast

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

β–² ~7/7d β˜… 1.5k Python 1d ago
Nixtla / hierarchicalforecast

Probabilistic Hierarchical forecasting πŸ‘‘ with statistical and econometric methods.

β–² ~7/7d β˜… 763 Python 3d ago
tslearn-team / tslearn

The machine learning toolkit for time series analysis in Python

β–² ~0/7d β˜… 3.2k Python 1d ago
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

β–² ~0/7d β˜… 1.1k Python 6d ago
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.

β–² ~0/7d β˜… 626 Python 2d ago
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.

β–² ~0/7d β˜… 38 Python 2mo ago
PkLavc / Autotrader

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