Kronos: A Foundation Model for the Language of Financial Markets
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TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
Fast and Accurate ML in 3 Lines of Code
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
The machine learning toolkit for time series analysis in Python
- time-series
- timeseries
- time-series-analysis
- time-series-clustering
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
Repository for Timestral, the time-series foundation model by Mistral AI
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
- time-series-analysis
- model-selection
- bayesian-inference
- anomaly-detection
mathLab mirror of Python Dynamic Mode Decomposition
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
- algotrading
- backtesting
- bollinger-bands
- cryptocurrency