Showing 7 of 7 projects
A Python library for user-friendly forecasting and anomaly detection on time series, from ARIMA to deep neural networks.
A Python library for building Generalized Additive Models (GAMs) with a scikit-learn-like API, emphasizing interpretability and performance.
A Ruby machine learning library with a Scikit-Learn-like interface for classification, regression, clustering, and dimensionality reduction.
A Julia implementation of the scikit-learn API, providing a uniform interface for machine learning models from both Julia and Python ecosystems.
A Python package providing Bayesian machine learning algorithms with a scikit-learn compatible API.
A scikit-learn compatible Python implementation of the Relevance Vector Machine for sparse Bayesian learning.
An in-memory machine learning library for Scala with a scikit-learn-like API, built on Breeze for parallel and distributed systems.
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