A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
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A unified framework for machine learning with time series
Anomaly Detection and Correlation library
Easy to use .NET library for data and time series manipulation and for scientific programming
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
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.
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.