cleanlab: an open-source python framework for data-centric AI

This page summarizes the projects mentioned and recommended in the original post on /r/opensource

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  • cleanlab

    The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  • I've been busy building a standard open-source library for data-centric AI: https://github.com/cleanlab/cleanlab/

  • examples

    Notebooks demonstrating example applications of the cleanlab library (by cleanlab)

  • In one-line of python, cleanlab can automatically: 1) find mislabeled data + train robust models 2) detect outliers 3) estimate consensus + annotator-quality for datasets labeled by multiple annotators 4) suggest which data is best to label or re-label next (active learning)

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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