Ml Pipelines
Showing 11 of 11 projects
Cross-platform framework for building customizable on-device machine learning pipelines for live and streaming media.
A composable, modular, and scalable machine learning toolkit for building AI platforms on Kubernetes.
An open-source Python library for automated feature engineering using Deep Feature Synthesis.
A Python library for online machine learning, designed for streaming data with a focus on user experience.
An open-source library for building massively scalable machine learning pipelines on Apache Spark.
A JavaScript application framework for machine learning and its engineering, designed for Web developers.
A Python library for feature engineering and selection with scikit-learn compatible transformers.
Hyperopt-sklearn automates hyperparameter optimization and model selection for scikit-learn machine learning pipelines.
An open-source machine learning system for the end-to-end data science lifecycle from data preparation to model serving.
An idiomatic Clojure machine learning library providing a unified interface for classification, regression, and unsupervised models.
A lightweight Python library for building reproducible machine learning pipelines with minimal interface constraints.
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