uncertainty-calibration

There are 12 repositories under uncertainty-calibration topic.

  • uncertainty-toolbox

    uncertainty-toolbox/uncertainty-toolbox

    Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

    Language:Python1.8k3434129
  • fortuna

    awslabs/fortuna

    A Library for Uncertainty Quantification.

    Language:Python889111846
  • huangsg1/uncertainty-calibration

    A collection of research and application papers of (uncertainty) calibration techniques.

  • pymatviz

    janosh/pymatviz

    A toolkit for visualizations in materials informatics.

    Language:Python15975115
  • p-lambda/verified_calibration

    Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).

    Language:Python14261620
  • IntelLabs/AVUC

    Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

    Language:Python5210312
  • ExplainableML/BayesCap

    (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

    Language:Jupyter Notebook47573
  • mourga/transformer-uncertainty

    Code for evaluating uncertainty estimation methods for Transformer-based architectures in natural language understanding tasks.

    Language:Python40100
  • dlmacedo/robust-deep-learning

    A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

    Language:Python16103
  • sungnyun/TaskCalibration-FSC

    Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence from Distribution Mismatch, IEEE Access vol.10

    Language:Python4200
  • EFS-OpenSource/Thetis

    Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects.

    Language:Python2101
  • horsepurve/truly-uncertain

    Truth Discovery Promotes Uncertainty Calibration of DNNs (UAI 2021)

    Language:Python2110