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uncertainty-calibration

Here are 13 public repositories matching this topic...

horsepurve / truly-uncertain

Truth Discovery Promotes Uncertainty Calibration of DNNs (UAI 2021)

deep-learning uncertainty uncertainty-calibration

Updated Mar 3, 2022
Python

sungnyun / TaskCalibration-FSC

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

pytorch meta-learning few-shot-learning uncertainty-calibration

Updated Dec 28, 2022
Python

mourga / transformer-uncertainty

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

deep-learning transformers uncertainty-estimation uncertainty-calibration

Updated Aug 16, 2021
Python

rhyang2021 / LoGU

Source code for our paper: "LoGU: Long-form Generation with Uncertainty Expressions".

language-model uncertainty-calibration

Updated Nov 7, 2024
Python

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.

machine-learning validation ai deep-learning dataset neural-networks traceability fairness data-quality robustness fairness-ai explainability fairness-ml uncertainty-calibration confidence-calibration robustness-ml robustness-ai

Updated Aug 6, 2024
Python

ExplainableML / BayesCap

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

machine-learning computer-vision deep-learning uncertainty medical-imaging calibration gans uncertainty-quantification uncertainty-estimation inpainting image-translation depth-estimation deblurring uncertainty-visualisation uncertainty-calibration

Updated Dec 14, 2022
Jupyter Notebook

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.

machine-learning deep-neural-networks deep-learning pytorch classification uncertainty-neural-networks uncertainty-estimation open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning uncertainty-calibration trustworthy-ai robust-deep-learning

Updated Nov 26, 2022
Python

IntelLabs / AVUC

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

deep-learning uncertainty-neural-networks model-calibration uncertainty-quantification uncertainty-estimation variational-inference bayesian-deep-learning probabilistic-neural-network probabilistic-deep-learning uncertainty-calibration

Updated Dec 16, 2022
Python

pymatviz

janosh / pymatviz

A toolkit for visualizations in materials informatics.

python machine-learning plots plotly data-visualization uncertainty matplotlib materials-science materials-informatics uncertainty-calibration

Updated Nov 17, 2024
Python

p-lambda / verified_calibration

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

metrics toolbox calibration ece uncertainty-calibration calibration-library

Updated Nov 10, 2022
Python

fortuna

awslabs / fortuna

A Library for Uncertainty Quantification.

machine-learning ai deep-learning ml uncertainty calibration neural-networks flax bayesian-inference model-calibration uncertainty-quantification uncertainty-estimation conformal-prediction jax uncertainty-calibration

Updated Nov 18, 2024
Python

huangsg1 / uncertainty-calibration

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

calibration advertising papers ctr-prediction uncertainty-calibration

Updated Jan 3, 2024

uncertainty-toolbox

uncertainty-toolbox / uncertainty-toolbox

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

visualization metrics scoring-rules toolbox uncertainty calibration visualizations uncertainty-quantification uncertainty-estimation bayesian-neural-networks bayesian-deep-learning sharpness predictive-uncertainty recalibration uncertainty-calibration uncertainty-metrics uncertainty-toolbox

Updated Jul 9, 2024
Python

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