Projects in Awesome Lists tagged with uncertainty-quantification

https://github.com/uncertainty-toolbox/uncertainty-toolbox

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

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

Last synced: 15 May 2025

https://github.com/salib/salib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

global-sensitivity-analysis joss morris numpy python salib sensitivity-analysis sensitivity-analysis-library sobol uncertainty uncertainty-quantification

Last synced: 13 May 2025

https://github.com/awslabs/fortuna

A Library for Uncertainty Quantification.

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

Last synced: 27 Mar 2025

https://github.com/aangelopoulos/conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

computer-vision conformal conformal-inference conformal-prediction distribution-shift natural-language-processing time-series time-series-prediction uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 04 Apr 2025

https://github.com/SALib/SALib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

global-sensitivity-analysis joss morris numpy python salib sensitivity-analysis sensitivity-analysis-library sobol uncertainty uncertainty-quantification

Last synced: 04 May 2025

https://github.com/IntelLabs/bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

bayesian-deep-learning bayesian-inference bayesian-layers bayesian-neural-networks deep-learning deep-neural-networks pytorch stochastic-variational-inference uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 09 Oct 2025

https://github.com/AlaaLab/deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deep-learning deep-neural-networks prediction-uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 14 Mar 2025

https://github.com/intellabs/bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

bayesian-deep-learning bayesian-inference bayesian-layers bayesian-neural-networks deep-learning deep-neural-networks pytorch stochastic-variational-inference uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 14 May 2025

https://github.com/EmuKit/emukit

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

bayesian-optimization bayesian-quadrature decision-making emulation experimental-design machine-learning multi-fidelity python sensitivity-analysis uncertainty-quantification

Last synced: 09 Apr 2025

https://github.com/henrikbostrom/crepes

Python package for conformal prediction

confidence-intervals conformal-classifiers conformal-prediction conformal-predictive-systems conformal-regressors cumulative-distribution-function jupyter-notebook machine-learning prediction-intervals prediction-sets python quantile-regression regression scikit-learn sklearn uncertainty-quantification

Last synced: 16 May 2025

https://github.com/ensta-u2is-ai/torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

bayesian-network computer-vision ensembles neural-networks predictive-uncertainty pytorch reliable-ai trustworthy-machine-learning uncertainty uncertainty-quantification

Last synced: 12 Jan 2026

https://github.com/jonathf/chaospy

Chaospy - Toolbox for performing uncertainty quantification.

gaussian-quadrature probability-distribution sensitivity-analysis sparse-grids statistics uncertainty-quantification variance-reduction

Last synced: 16 May 2025

https://github.com/stefanradev93/BayesFlow

A Python library for amortized Bayesian workflows using generative neural networks.

amortized-inference bayesian-inference deep-learning invertible-networks likelihood-free model-comparison parameter-estimation simulation-based uncertainty-quantification

Last synced: 05 Mar 2025

https://github.com/deel-ai/puncc

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

conformal-inference conformal-prediction conformal-regressors uncertainty-estimation uncertainty-quantification

Last synced: 09 Apr 2026

https://github.com/SURGroup/UQpy

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

latin-hypercube latin-hypercube-sampling monte-carlo monte-carlo-simulation probabilistic probability stochastic stochastic-process uncertainty-propagation uncertainty-quantification uncertainty-sampling

Last synced: 14 Mar 2025

https://github.com/deephyper/deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

automl deep-learning hpc hyperparameter-optimization keras machine-learning mpi multi-fidelity neural-architecture-search python pytorch raylib scalability tensorflow uncertainty-quantification

Last synced: 07 Apr 2025

https://github.com/aangelopoulos/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).

artificial-intelligence classification classifier computer-vision conformal conformal-prediction deep-neural-networks distribution-free imagenet machine-learning neural-networks nonparametric nonparametric-statistics prediction-sets pytorch statistics uncertainty uncertainty-quantification vision

Last synced: 04 Apr 2025

https://github.com/idaholab/raven

RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.

data-mining model-calibration model-reduction optimization-algorithms parametric-analysis probabilistic-analysis risk-analysis uncertainty-quantification validation

Last synced: 08 Apr 2025

https://github.com/dkogan/mrcal

Next-generation camera-modeling toolkit

camera-calibration lens-modeling structure-from-motion uncertainty-quantification

Last synced: 04 Apr 2025

https://github.com/BayesWatch/deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

bayesian-methods classification deep-kernel-learning deep-learning few-shot-learning gaussian-processes gpytorch kernel kernel-methods kernels meta-learning one-shot-learning paper regression shot-learning uncertainty uncertainty-quantification

Last synced: 01 May 2025

https://github.com/ENSTA-U2IS-AI/torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

bayesian-network computer-vision ensembles mixup neural-networks predictive-uncertainty pytorch reliable-ai trustworthy-machine-learning uncertainty uncertainty-quantification

Last synced: 05 Apr 2025

https://github.com/lightning-uq-box/lightning-uq-box

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

bayesian-neural-networks conformal-prediction deep-learning earth-observation predictive-uncertainty pytorch pytorch-lightning uncertainty-quantification

Last synced: 16 May 2025

https://github.com/GlacioHack/xdem

Analysis of digital elevation models (DEMs)

coregistration dem digital-elevation-model error-analysis geostatistics gis python surface-elevation-data terrain-analysis uncertainty-quantification variogram

Last synced: 10 May 2025

https://github.com/dobriban/Topics-In-Modern-Statistical-Learning

Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc

calibration conformal-prediction deep-learning machine-learning prediction tolerance-intervals uncertainty-quantification

Last synced: 11 May 2025

https://github.com/usgs/pestpp

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

ensemble-methods ensembles global-sensitivity-analysis non-intrusive optimization optimization-tools parallel-computing parameter-estimation sensitivity-analysis uncertainty-quantification

Last synced: 04 Apr 2025

https://github.com/sciml/polychaos.jl

A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.

differential-equations julia julia-language orthogonal-polynomials polynomial-chaos-expansions polynomials quadrature quadrature-integration quadrature-rules scientific-machine-learning uncertainty-propagation uncertainty-quantification

Last synced: 01 Aug 2025

https://github.com/eliahuhorwitz/conffusion

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

computer-vision conformal-prediction deep-learning diffusion diffusion-models generative-model image-generation image-to-image inpainting prediction-intervals pytorch quantile-regression super-resolution uncertainty-estimation uncertainty-quantification

Last synced: 01 Aug 2025

https://github.com/scottshambaugh/monaco

Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

data-science monaco monte-carlo python scientific-computing sensitivity-analysis simulation statistics uncertainty-analysis uncertainty-quantification

Last synced: 03 Apr 2026

https://github.com/madsjulia/mads.jl

MADS: Model Analysis & Decision Support

blind-source-separation calibration data-analytics decision-making decision-support high-performance-computing inversion machine-learning matrix-factorization model-analysis model-reduction parameter-estimation sensitivity-analysis uncertainty-quantification

Last synced: 12 Feb 2026

https://github.com/nikitadurasov/masksembles

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

computer-vision deep-learning out-of-distribution-detection paper tensorflow torch uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 16 Jan 2026

https://github.com/snap-stanford/conformalized-gnn

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)

calibration conformal-prediction gnn graph graph-neural-networks uncertainty-quantification

Last synced: 03 Jul 2025

https://github.com/xxxnell/spatial-smoothing

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

bayesian-deep-learning bayesian-neural-networks neural-network pytorch robustness uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 18 Jan 2026

https://github.com/sandialabs/uqtk

Sandia Uncertainty Quantification Toolkit

bayesian-inference mcmc mcmc-methods mcmc-sampler scr-1380 snl-data-analysis snl-science-libs surrogate-models uncertainty uncertainty-estimation uncertainty-propagation uncertainty-quantification uq

Last synced: 27 Jan 2026

https://github.com/sciml/scimlexpectations.jl

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

differential-equations differentialequations integration julia ode scientific-machine-learning sciml uncertainty-quantification uq

Last synced: 09 Sep 2025

https://github.com/ornl/tasmanian

The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN

high-order-approximation-models inverse-problems reduced-order-models uncertainty-quantification

Last synced: 24 Jun 2025

https://github.com/FilippoMB/Ensemble-Conformalized-Quantile-Regression

Valid and adaptive prediction intervals for probabilistic time series forecasting

conformal-prediction ensemble-machine-learning frequentist-statistics frequentistic-confidence-intervals prediction-intervals probabilistic-forecasting quantile-regression random-forest recurrent-neural-networks time-series-forecasting time-series-prediction uncertainty-quantification

Last synced: 11 May 2025

https://github.com/ORNL/TASMANIAN

The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN

high-order-approximation-models inverse-problems reduced-order-models uncertainty-quantification

Last synced: 26 Mar 2025

https://github.com/aangelopoulos/conformal-risk

Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.

computer-vision conformal conformal-prediction natural-language-processing python pytorch pytorch-implementation uncertainty-estimation uncertainty-quantification

Last synced: 05 Apr 2025

https://github.com/tum-pbs/diffusion-based-flow-prediction

Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"

baysian-network deep-learning diffusion-models flow-matching fluid-dynamics fluid-simulation physics-simulation uncertainty-neural-networks uncertainty-quantification

Last synced: 09 May 2025

https://github.com/kaleidophon/nlp-uncertainty-zoo

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

deep-learning lstm nlp nlp-machine-learning package python pytorch rnn transformers uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 28 Jul 2025

https://github.com/amazon-science/probconserv

Datasets and code for results presented in the ProbConserv paper

conservation-laws downstream-tasks partial-differential-equations porous-media-flow shock-capturing uncertainty-quantification

Last synced: 20 Aug 2025

https://github.com/alan-turing-institute/mogp-emulator

Package for fitting Gaussian Process Emulators to multiple output computer simulation results.

gaussian-processes hut23 hut23-231 hut23-232 uncertainty-quantification

Last synced: 05 May 2025

https://github.com/testingautomated-usi/uncertainty-wizard

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

keras keras-tensorflow testing uncertainty uncertainty-neural-networks uncertainty-quantification

Last synced: 06 May 2025

https://github.com/pdaf/pdaf

Parallel Data Assimilation Framework (this is the release repository, thus expect only updates when we prepare a new release)

data-assimilation ensemble-kalman-filter nonlinear-systems particle-filter uncertainty-quantification variational-method

Last synced: 27 May 2026

https://github.com/alexhallam/tablespoon

🥄✨Time-series Benchmark methods that are Simple and Probabilistic

data-science forecasting mean naive probabilistic probabilistic-programming probability python scipy seasonal-naive simple simple-models time-series uncertainty-quantification

Last synced: 12 Apr 2025

https://github.com/scikit-learn-contrib/bde

Bayesian Deep Ensembles via MILE: easy to use, scikit-learn compatible and fast (JAX powered)

jax machine-learning mcmc sampling-methods scikit-learn uncertainty-quantification

Last synced: 12 Feb 2026

https://github.com/novartis/unique

A Python library for benchmarking uncertainty estimation and quantification methods for Machine Learning models predictions.

calibration machine-learning uncertainty-quantification

Last synced: 21 Jul 2025

https://github.com/Lingkai-Kong/Calibrated-BERT-Fine-Tuning

Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

bert calibration deep-learning language-model nlp nlp-machine-learning ood-detection open-world-classification robustness text-classification uncertainty-estimation uncertainty-quantification

Last synced: 06 May 2025

https://github.com/madsjulia/AffineInvariantMCMC.jl

Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler

affine-invariance ensemble-sampler high-performance-computing julia mads markov-chain markov-chain-monte-carlo mcmc monte-carlo-simulation uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 04 May 2025

https://github.com/madsjulia/affineinvariantmcmc.jl

Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler

affine-invariance ensemble-sampler high-performance-computing julia mads markov-chain markov-chain-monte-carlo mcmc monte-carlo-simulation uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 07 Mar 2026

https://github.com/dlr-mi/utrack

Multi-Object Tracking with Uncertain Detections [ECCV 2024 UnCV]

multi-object-tracking multi-pedestrian-tracking pytorch tracking-by-detection uncertainty-estimation uncertainty-propagation uncertainty-quantification yolov8

Last synced: 15 Apr 2025

https://github.com/ika-rwth-aachen/occuq

[ICRA2025] OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction

3d-occupancy-prediction icra icra2025 ood-detection uncertainty-estimation uncertainty-quantification

Last synced: 22 Jun 2025

https://github.com/friesischscott/uncertaintyquantification.jl

Uncertainty Quantification in Julia

hacktoberfest julia metamodeling monte-carlo-simulation reliability-analysis sensitivity-analysis uncertainty-quantification

Last synced: 06 Apr 2025

https://github.com/ruiyang-061x/vl-uncertainty

🔎Official code for our paper: "VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation".

hallucination hallucination-detection hallucination-evaluation large-vision-language-model multi-modal multi-modal-large-language-model uncertainty uncertainty-analysis uncertainty-estimation uncertainty-quantification vision-language vision-language-model

Last synced: 15 Jun 2025

https://github.com/ai2es/miles-guess

Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.

ai bayesian epistemic-uncertainty evidential-deep-learning machine-learning neural-networks uncertainty-quantification

Last synced: 13 Dec 2025

https://github.com/statmixedml/dgbm

Distributional Gradient Boosting Machines

decision-trees distributional-regression gradient-boosting lightgbm machine-learning normalizing-flow probabilistic-modeling quantile-estimation uncertainty-quantification xgboost

Last synced: 06 Jan 2026

https://github.com/icb-dcm/pesto

PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.

matlab optimization parameter-estimation profile-likelihood systems-biology uncertainty-quantification

Last synced: 12 May 2025

https://github.com/koriavinash1/digitalhistopath

camelyon camelyon16 camelyon17 deep-learning digestpath digital-pathology histopathology paip segmentation-models uncertainty-quantification whole-slide-imaging

Last synced: 05 Oct 2025

https://github.com/antonbaumann/mimo-unet

PyTorch implementation of Probabilistic MIMO U-Net

deep-ensemble u-net uncertainty-analysis uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 07 Oct 2025

https://github.com/choderalab/torsionfit

Bayesian tools for fitting molecular mechanics torsion parameters to quantum chemical data.

bayesian-inference force-field forcefield forcefield-parameterization nsf-grant-che-1738979 torsions uncertainty-quantification

Last synced: 04 Feb 2026

https://github.com/activatedgeek/understanding-bayesian-classification

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

aleatoric-uncertainty bayesian-inference bayesian-neural-networks classification deep-learning machine-learning paper research uncertainty-quantification

Last synced: 12 Apr 2025

https://github.com/msesia/chr

Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems

conformal-prediction machine-learning quantile-regression regression uncertainty-quantification

Last synced: 30 Oct 2025

https://github.com/madsjulia/biguq.jl

Bayesian Information Gap Decision Theory

bayesian bayesian-data-analysis data-driven data-science decision-analysis decision-making decision-model decision-support decision-theory experimental-design high-performance-computing information-gap information-theory julia mads model-analysis model-driven predictive-analysis uncertainty-quantification

Last synced: 22 Apr 2025

https://github.com/cvs-health/uqlm

UQLM (Uncertainty Quantification for Language Models) is a Python package for UQ-based LLM hallucination detection

ai-evaluation ai-safety confidence-estimation confidence-score hallucination hallucination-detection hallucination-evaluation hallucination-mitigation llm llm-evaluation llm-hallucination llm-safety uncertainty-estimation uncertainty-quantification

Last synced: 11 May 2025

https://github.com/cvlab-epfl/iter_unc

Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)

bayesian-inference computer-vision deep-learning icml icml-2024 neural-network robustness uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 04 Apr 2025

https://github.com/adityalab/epifnp

Official repo to paper

epidemiology functional-neural-processes neural-processes pytorch uncertainty-quantification

Last synced: 07 Mar 2026

https://github.com/alan-turing-institute/stat-fem

Python tools for solving data-constrained finite element problems

finite-element-analysis hut23 hut23-183 probabilistic-numerics uncertainty-quantification

Last synced: 29 Aug 2025

https://github.com/lucadellalib/bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

bayes-by-backprop bayesian-deep-learning bayesian-inference bayesian-neural-networks deep-learning machine-learning markov-chain-monte-carlo python pytorch stein-variational-gradient-descent uncertainty-quantification variational-inference

Last synced: 22 Jul 2025

https://github.com/csdms/dakotathon

A Python API and BMI for the Dakota iterative systems analysis toolkit

bmi csdms dakota python sensitivity-analysis uncertainty-quantification

Last synced: 07 Sep 2025

https://github.com/krlennon/mastercurves

Python package for automatically superimposing data sets to create a master curve, using Gaussian process regression and maximum a posteriori estimation.

automation data-analysis gaussian-processes interpreatable-ai machine-learning maximum-a-posteriori python statistical-analysis uncertainty-quantification

Last synced: 01 Apr 2026

https://github.com/mertyg/beyond-confidence-atypicality

Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"

calibration conformal-prediction trustworthy-machine-learning uncertainty-quantification

Last synced: 15 May 2025

https://github.com/mit-ll-responsible-ai/equine

Establishing Quantified Uncertainty in Neural Networks

machine-learning uncertainty-quantification

Last synced: 07 Jan 2026

https://github.com/sandialabs/quinn

Quantification of Uncertainties in Neural Networks

bayesian-inference markov-chain mcmc neural-network scr-2871 snl-applications uncertainty-quantification variational-inference

Last synced: 02 May 2025

https://github.com/Himscipy/bnn_hvd

Distributed Training of Bayesian Neural Networks at Scale

bayesian-networks computer-vision data-science distributed-computing horovod machine-learning mnist tensorflow tensorflow-probability uncertainty-quantification variational-inference

Last synced: 15 Jul 2025

https://github.com/astro-informatics/quantifai

PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driven (learned) priors

high-dimensional-data machine-learning pytorch radio-interferometry uncertainty-quantification

Last synced: 10 Oct 2025

https://github.com/duqtools/duqtools

Dynamic uncertainty quantification for Tokamak reactor simulations modelling

fusion-reactor modelling python tokamak uncertainty-quantification

Last synced: 10 Jun 2026

https://github.com/madsjulia/anasol.jl

Analytical solutions for groundwater contaminant transport

analyses analytical-solution contamination decision-support flow groundwater julia mads migration modeling prediction sensitivity-analysis transport uncertainty-quantification

Last synced: 22 Apr 2025

https://github.com/alisiahkoohi/csgm

Code to reproduce the results in "Conditional score-based diffusion models for Bayesian inference in infinite dimensions", NeurIPS 2023

bayesian-inference fourier-neural-operator score-based-generative-modeling uncertainty-quantification

Last synced: 07 Sep 2025

https://github.com/jiweiqi/nnsubspace

Uncertainty Propagation in Deep Neural Network Using Active Subspace

active-subspace adversarial-example deep-neural-networks uncertainty-quantification

Last synced: 07 Apr 2026

https://github.com/parameterlab/apricot

Source code of "Calibrating Large Language Models Using Their Generations Only", ACL2024

acl2024 calibration confidence large-language-models llms research uncertainty uncertainty-quantification

Last synced: 04 Apr 2026

https://github.com/sandialabs/pytuq

Python Toolkit for Uncertainty Quantification

bayesian-inference forward-propagation inverse-problems model-error regression scr-3177 snl-data-analysis snl-other snl-science-libs sparse-regression surrogate-models surrogates uncertainty-quantification uq

Last synced: 04 Apr 2026

https://github.com/damar-wicaksono/uqtestfuns

A Python3 library of test functions from the uncertainty quantification community with a common interface for validation and benchmarking purposes.

metamodeling python reliability-analysis sensitivity-analysis test-functions uncertainty-quantification

Last synced: 14 Jan 2026

https://github.com/larsvanderlaan/selfcalibratingconformal

An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal prediction to deliver calibrated point predictions alongside prediction intervals with finite-sample validity conditional on these predictions.

calibration conformal-prediction isotonic-calibration prediction-intervals predictive-inference uncertainty-quantification venn-abers

Last synced: 25 Oct 2025

https://github.com/deel-ai/uq-masterclass

This repository contains the notebooks and related materials for the master class "Uncertainty Quantification".

conformal-inference conformal-prediction uncertainty-quantification

Last synced: 16 May 2025

https://github.com/americocunhajr/maxent

MaxEnt is a Matlab toolbox for the calculation of maximum entropy distributions and the corresponding statistical samples from a given set of known information.

maximum-entropy numerical-methods parametric-inference statistical-inference stochastic-modelling uncertainty-quantification