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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 mar 5 2025 python stanfordmlgroup ngboost star 1 9k code issues pull requests discussions natural gradient boosting for probabilistic prediction python machine learning uncertainty estimation gradient boosting natural gradients ngboost updated jul 1 2026 jupyter notebook valeman awesome conformal prediction sponsor star 1 3k code issues pull requests discussions a professionally curated list of awesome conformal prediction videos tutorials books papers phd and msc theses articles and open source libraries python machine learning awesome r statistics ai probability uncertainty datascience probability distribution awesome list machinelearning deeplearning probability distributions uncertainty quantification uncertainty estimation conformal prediction explainable ai robust ml updated jul 9 2026 cvs health uqlm star 1 2k code issues pull requests discussions uqlm uncertainty quantification for language models is a python package for uq based llm hallucination detection uncertainty quantification uncertainty estimation ai safety confidence score hallucination confidence estimation ai evaluation llm llm evaluation llm safety hallucination evaluation hallucination detection hallucination mitigation llm hallucination updated jul 9 2026 python aangelopoulos conformal prediction star 1 1k code issues pull requests discussions lightweight useful implementation of conformal prediction on real data natural language processing computer vision time series uncertainty uncertainty quantification uncertainty estimation conformal time series prediction conformal prediction distribution shift conformal inference updated nov 14 2025 jupyter notebook awslabs fortuna star 929 code issues pull requests discussions 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 apr 23 2025 python jxzhangjhu awesome llm uncertainty reliability robustness star 830 code issues pull requests awesome llm robustness a curated list of uncertainty reliability and robustness in large language models reliability calibration safety awesome list uncertainty quantification uncertainty estimation robustness hallucination gpt 3 gpt 4 in context learning large language models prompt engineering prompting llms chain of thought chatgpt updated jun 5 2026 ensta u2is ai awesome uncertainty deeplearning star 823 code issues pull requests discussions this repository contains a collection of surveys datasets papers and codes for predictive uncertainty estimation in deep learning models machine learning awesome deep neural networks deep learning uncertainty neural networks uncertainty quantification uncertainty estimation uncertainty analysis awesome resources deep learning tutorials updated jun 24 2026 renumics awesome open data centric ai star 735 code issues pull requests curated list of open source tooling for data centric ai on unstructured data nlp machine learning computer vision deep learning data visualization awesome list outlier detection feature vector uncertainty estimation active learning data versioning data curation synthetic data explainable ai bias detection robust machine learning noisy labels data drift data centric ai documentation only updated nov 15 2023 statmixedml xgboostlss star 726 code issues pull requests discussions an extension of xgboost to probabilistic modelling machine learning xgboost gamlss uncertainty estimation mixture density model normalizing flows prediction intervals multi target regression distributional regression probabilistic forecasts updated jun 1 2026 python alaalab deep learning uncertainty star 641 code issues pull requests literature survey paper reviews experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models deep neural networks deep learning uncertainty quantification uncertainty estimation prediction uncertainty updated aug 1 2022 jupyter notebook deel ai puncc star 401 code issues pull requests discussions puncc is a python library for predictive uncertainty quantification using conformal prediction uncertainty quantification uncertainty estimation conformal prediction conformal regressors conformal inference updated jul 10 2026 python statmixedml lightgbmlss star 389 code issues pull requests discussions an extension of lightgbm to probabilistic modelling machine learning lightgbm gamlss uncertainty estimation mixture density model normalizing flows prediction intervals probabilistic forecasting distributional regression updated jun 1 2026 python jokerjohn paloc star 389 code issues pull requests tmech 2024 paloc advancing slam benchmarking with prior assisted 6 dof trajectory generation and uncertainty estimation localization uncertainty estimation uncertainty propagation gtsam prior map pose graph optimization groundtruth slam benchmarcking slam dataset lidar localization 3d localization lidar degeneracy zero velocity updated apr 16 2026 c jokerjohn ms mapping star 378 code issues pull requests icra 40 ms mapping an uncertainty aware large scale multi session lidar mapping system mapping keyframe lidar uncertainty estimation uncertainty propagation gtsam pose graph optimization multi session wasserstein distance lidar slam lidar mapping large scale mapping lifelong mapping updated mar 22 2026 c axelbrando mixture density networks for distribution and uncertainty estimation star 361 code issues pull requests a generic mixture density networks mdn implementation for distribution and uncertainty estimation by using keras tensorflow deep neural networks deep learning neural network master thesis tensorflow mdn keras tensorflow experiments mixture density networks uncertainty estimation mixture density model mixture updated jun 30 2017 jupyter notebook alfredgu001324 mapuncertaintyprediction star 278 code issues pull requests cvpr 2024 award candidate producing and leveraging online map uncertainty in trajectory prediction autonomous driving uncertainty estimation trajectory prediction map estimation motion prediction cvpr2024 updated mar 10 2025 python zillow quantile forest star 255 code issues pull requests discussions quantile regression forests compatible with scikit learn python machine learning random forest uncertainty estimation quantile regression scikit learn api prediction intervals quantile regression forests updated jul 21 2026 python baegwangbin surface_normal_uncertainty star 245 code issues pull requests iccv 2021 oral estimating and exploiting the aleatoric uncertainty in surface normal estimation computer vision deep learning uncertainty uncertainty estimation 3d reconstruction surface normals surface normal surface normals estimation iccv2021 updated aug 18 2022 python mattpoggi mono uncertainty star 242 code issues pull requests cvpr 2020 on the uncertainty of self supervised monocular depth estimation uncertainty estimation monocular depth cvpr2020 updated oct 3 2023 python load more improve this page add a description image and links to the uncertainty estimation topic page so that developers can more easily learn about it curate this topic add this topic to your repo to associate your repository with the uncertainty estimation topic visit your repo s landing page and select manage topics learn more footer 2026 github inc footer navigation terms privacy security status community docs contact manage cookies do not share my personal information you can t perform that action at this time