[R] Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification - Link to a free online lecture by the author in comments

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  • conformal_classification

    Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

  • ​Uncertainty Sets for Image Classifiers using Conformal Prediction https://arxiv.org/abs/2009.14193 https://github.com/aangelopoulos/conformal_classification

  • rcps

    Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"

  • ​Distribution-Free, Risk-Controlling Prediction Sets https://arxiv.org/abs/2101.02703 https://github.com/aangelopoulos/rcps

  • InfluxDB

    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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  • ltt

    Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

  • ​Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control https://arxiv.org/abs/2110.01052 https://github.com/aangelopoulos/ltt

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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