GitHub topics: uncertainty-quantification
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.
Language: C++ - Size: 812 MB - Last synced at: about 14 hours ago - Pushed at: about 16 hours ago - Stars: 233 - Forks: 139

usgs/pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Language: C++ - Size: 1.09 GB - Last synced at: about 2 hours ago - Pushed at: 10 days ago - Stars: 149 - Forks: 79

openturns/openturns
Probabilistic modelling and uncertainty quantification library
Language: C++ - Size: 85.8 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 265 - Forks: 96

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"
Language: Jupyter Notebook - Size: 433 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 64 - Forks: 6

lightning-uq-box/lightning-uq-box
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
Language: Python - Size: 47 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 177 - Forks: 18

jxzhangjhu/Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
Size: 193 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 748 - Forks: 49

ENSTA-U2IS-AI/torch-uncertainty
Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
Language: Python - Size: 4.91 MB - Last synced at: about 11 hours ago - Pushed at: about 18 hours ago - Stars: 387 - Forks: 30

aangelopoulos/conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
Language: Jupyter Notebook - Size: 38.8 MB - Last synced at: about 7 hours ago - Pushed at: about 1 year ago - Stars: 879 - Forks: 102

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).
Language: Jupyter Notebook - Size: 4.26 MB - Last synced at: about 7 hours ago - Pushed at: over 2 years ago - Stars: 241 - Forks: 34

gregory-halverson-jpl/ECOv003-L2T-STARS Fork of ECOSTRESS-Collection-3/ECOv003-L2T-STARS
ECOSTRESS Collection 3 Level 2 Spatial Timeseries for Automated high-Resolution multi-Sensor (STARS) Data Fusion System
Language: Jupyter Notebook - Size: 6.33 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

gianlucadetommaso/caliber
Model-agnostic calibration and performance enhancement.
Language: Python - Size: 20.6 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 5 - Forks: 0

valeman/awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Size: 45 MB - Last synced at: 2 days ago - Pushed at: 10 days ago - Stars: 724 - Forks: 62

gregory-halverson/ECOv003-L2T-STARS Fork of ECOSTRESS-Collection-3/ECOv003-L2T-STARS
ECOSTRESS Collection 3 Level 2 Spatial Timeseries for Automated high-Resolution multi-Sensor (STARS) Data Fusion System
Language: Jupyter Notebook - Size: 4.67 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

cvs-health/uqlm
UQLM (Uncertainty Quantification for Language Models) is a Python package for UQ-based LLM hallucination detection
Language: Python - Size: 11.6 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 14 - Forks: 7

jonathf/chaospy
Chaospy - Toolbox for performing uncertainty quantification.
Language: Python - Size: 54.5 MB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 461 - Forks: 86

ihsan1990-90/MCSpectra_app
Source code for the MCSpectra spectral simulation tool
Language: Python - Size: 76.6 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

GlacioHack/xdem
Analysis of digital elevation models (DEMs)
Language: Python - Size: 23.9 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 172 - Forks: 43

art-test-stack/LLM-UQ-with-TM
A program to quantify the uncertainty of an LLM during its training with a Regression Label-Critic Tsetlin Machine.
Language: Python - Size: 276 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

bayesflow-org/bayesflow
A Python library for amortized Bayesian workflows using generative neural networks.
Language: Python - Size: 536 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 462 - Forks: 63

egonmedhatten/online-cp
Repository for online conformal prediction methods
Language: Jupyter Notebook - Size: 24.5 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 0

ENSTA-U2IS-AI/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Size: 321 KB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 667 - Forks: 63

Techtonique/ahead
Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
Language: R - Size: 8.61 MB - Last synced at: 1 day ago - Pushed at: 6 days ago - Stars: 23 - Forks: 6

Pongpisit-Thanasutives/UBIC-play
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Language: Jupyter Notebook - Size: 47.1 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

Pongpisit-Thanasutives/UBIC
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 6 - Forks: 1

Pongpisit-Thanasutives/UBIC-test
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Language: Jupyter Notebook - Size: 66 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

snap-stanford/conformalized-gnn
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
Language: Python - Size: 1.49 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 79 - Forks: 6

aangelopoulos/conformal-time-series
Conformal prediction for time-series applications.
Language: Jupyter Notebook - Size: 829 MB - Last synced at: about 7 hours ago - Pushed at: over 1 year ago - Stars: 114 - Forks: 5

ngalioto/bside
Bayesian system identification toolbox
Language: Python - Size: 720 KB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

madsjulia/Mads.jl
MADS: Model Analysis & Decision Support
Language: HTML - Size: 183 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 104 - Forks: 21

aangelopoulos/im2im-uq
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
Language: Python - Size: 5.24 MB - Last synced at: about 7 hours ago - Pushed at: about 2 years ago - Stars: 56 - Forks: 10

zwyang6/UniA
[TMM2025] Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation
Language: Python - Size: 1.96 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 7 - Forks: 0

mbd-rwth/showmehow
The I in FAIR: Solutions for HeterOgeneous Workflows in Model-based Engineering applications – SHOWME.how
Language: R - Size: 42 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 1

smasky/UQPyL
UQPyL is a python package for uncertainty quantification and parameter optimization. 参数不确定性分析及优化工具包。
Language: Python - Size: 264 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 8 - Forks: 3

USACE-RMC/RMC-BestFit
RMC-BestFit is a state-of-the-art Bayesian estimation and fitting software developed collaboratively by the USACE-RMC and ERDC-CHL.
Language: HTML - Size: 113 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 9 - Forks: 1

m4siko/InfernoCalibNet
Calibrating neural networks with Bayesian nonparametric regression (Inferno) to quantify uncertainty and improve prediction reliability.
Language: Jupyter Notebook - Size: 176 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

IBM/UQ360
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
Language: Python - Size: 6.75 MB - Last synced at: 3 days ago - Pushed at: 9 months ago - Stars: 265 - Forks: 61

Plant-Food-Research-Open/calisim
A toolbox for the calibration and evaluation of simulation models.
Language: Python - Size: 1.56 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 13 - Forks: 1

ika-rwth-aachen/OCCUQ
[ICRA2025] OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
Language: Python - Size: 9.79 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 31 - Forks: 1

OliverHennhoefer/unquad
Conformal Anomaly Detection
Language: Python - Size: 93.4 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 46 - Forks: 6

dkogan/mrcal
Next-generation camera-modeling toolkit
Language: Python - Size: 9.73 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 224 - Forks: 19

JPL-Evapotranspiration-Algorithms/monte-carlo-sensitivity
Monte-Carlo Sensitivity Analysis
Language: Python - Size: 11.7 KB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 1

UCL-CCS/EasyVVUQ
Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
Language: Jupyter Notebook - Size: 24.3 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 94 - Forks: 28

SALib/SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Language: Python - Size: 6 MB - Last synced at: 12 days ago - Pushed at: 21 days ago - Stars: 920 - Forks: 248

damar-wicaksono/uqtestfuns
A Python3 library of test functions from the uncertainty quantification community with a common interface for validation and benchmarking purposes.
Language: Python - Size: 2 MB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 8 - Forks: 1

scottshambaugh/monaco
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
Language: Python - Size: 17.4 MB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 112 - Forks: 8

ECOSTRESS-Collection-3/ECOv003-L2T-STARS
ECOSTRESS Collection 3 Level 2 Spatial Timeseries for Automated high-Resolution multi-Sensor (STARS) Data Fusion System
Language: Jupyter Notebook - Size: 6.28 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 2 - Forks: 4

STARS-Data-Fusion/STARSDataFusion.jl
Spatial Timeseries for Automated high-Resolution multi-Sensor data fusion (STARS) Julia Package
Language: Julia - Size: 8.57 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 4 - Forks: 2

gregory-halverson-jpl/STARSDataFusion.jl Fork of STARS-Data-Fusion/STARSDataFusion.jl
Spatial Timeseries for Automated high-Resolution multi-Sensor data fusion (STARS) Julia Package
Language: Julia - Size: 8.53 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

olivier-bernard-creatis/olivier-bernard-creatis.github.io Fork of academicpages/academicpages.github.io
Website of Olivier Bernard, Professor at the university of Lyon (INSA) and Deputy Director of the CREATIS research laboratory
Language: Jupyter Notebook - Size: 151 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

bayesflow-org/awesome-amortized-inference
This is a community-driven collection of resources around amortized inference.
Language: TeX - Size: 157 KB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 35 - Forks: 3

awslabs/fortuna 📦
A Library for Uncertainty Quantification.
Language: Python - Size: 4.56 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 913 - Forks: 48

deel-ai/puncc
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Language: Python - Size: 13.8 MB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 325 - Forks: 17

alextimans/conformal-od
Code repository for the paper "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction" @ ECCV 2024 (Oral)
Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 12 - Forks: 0

alextimans/max-rank
Code repository for the paper "Max-Rank: Efficient Multiple Testing for Conformal Prediction" @ AISTATS 2025
Language: Python - Size: 17.6 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 1

QuantumMisaka/dpeva
Deep Potential Evolution Accelerator
Language: Python - Size: 29.5 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 16 - Forks: 0

Ruiyang-061X/Awesome-MLLM-Uncertainty
✨A curated list of papers on the uncertainty in multi-modal large language model (MLLM).
Size: 381 KB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 44 - Forks: 0

ml-stat-Sustech/TorchCP
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
Language: Python - Size: 9.56 MB - Last synced at: 20 days ago - Pushed at: about 1 month ago - Stars: 368 - Forks: 44

dkanungo/Probabilistic-ML-for-finance-and-investing
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
Language: Jupyter Notebook - Size: 2.15 MB - Last synced at: 20 days ago - Pushed at: 21 days ago - Stars: 95 - Forks: 41

sandialabs/pytuq
Python Toolkit for Uncertainty Quantification
Language: Python - Size: 6.45 MB - Last synced at: 21 days ago - Pushed at: 29 days ago - Stars: 4 - Forks: 0

henrikbostrom/crepes
Python package for conformal prediction
Language: Python - Size: 24.3 MB - Last synced at: 21 days ago - Pushed at: about 1 month ago - Stars: 496 - Forks: 39

vars-tool/vars-tool
VARS-TOOL sensitivity analysis package in Python
Language: Jupyter Notebook - Size: 53.2 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 7

deephyper/deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Language: Python - Size: 44.3 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 288 - Forks: 61

mit-ll-responsible-ai/equine
Establishing Quantified Uncertainty in Neural Networks
Language: Python - Size: 19.6 MB - Last synced at: 12 days ago - Pushed at: 16 days ago - Stars: 12 - Forks: 1

GrainLearning/grainLearning
A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials, developed by various projects of the University of Twente (NL), the Netherlands eScience Center (NL), University of Newcastle (AU), and Hiroshima University (JP).
Language: Jupyter Notebook - Size: 135 MB - Last synced at: 7 days ago - Pushed at: 26 days ago - Stars: 11 - Forks: 1

redmod-team/profit
Probabilistic Response mOdel Fitting with Interactive Tools
Language: Python - Size: 3.71 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 15 - Forks: 10

uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Language: Python - Size: 4.11 MB - Last synced at: 28 days ago - Pushed at: 2 months ago - Stars: 1,877 - Forks: 136

SURGroup/UQpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Language: Python - Size: 173 MB - Last synced at: 27 days ago - Pushed at: about 1 month ago - Stars: 311 - Forks: 82

duqtools/duqtools
Dynamic uncertainty quantification for Tokamak reactor simulations modelling
Language: Jupyter Notebook - Size: 9.35 MB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 9 - Forks: 2

Novartis/UNIQUE
A Python library for benchmarking uncertainty estimation and quantification methods for Machine Learning models predictions.
Language: Python - Size: 6 MB - Last synced at: 21 days ago - Pushed at: 7 months ago - Stars: 32 - Forks: 3

b-cubed-eu/dubicube
An R package to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes.
Language: R - Size: 2.3 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

b-cubed-eu/indicator-uncertainty
Scripts to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes
Language: R - Size: 228 KB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

pygpc-polynomial-chaos/pygpc
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
Language: Jupyter Notebook - Size: 731 MB - Last synced at: 16 days ago - Pushed at: about 1 month ago - Stars: 80 - Forks: 25

GDelCorso/NA_DAtabase
NA_DA is an open-source software written in Python that generates datasets of regular two-dimensional geometric shapes based on probabilistic distributions. NA_DA comes with an intuitive GUI (Graphical User Interface) that allows users to define shapes, colors, and distributions of features.
Language: Python - Size: 38.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

Ruiyang-061X/VL-Uncertainty
🔎Official code for our paper: "VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation".
Language: Python - Size: 7.12 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 31 - Forks: 2

Cogito2012/DEAR
[ICCV 2021 Oral] Deep Evidential Action Recognition
Language: Python - Size: 210 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 128 - Forks: 19

alan-turing-institute/mogp-emulator
Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
Language: Python - Size: 4.08 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 49 - Forks: 14

IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Language: Python - Size: 252 KB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 576 - Forks: 79

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.
Language: Python - Size: 103 MB - Last synced at: about 7 hours ago - Pushed at: over 2 years ago - Stars: 66 - Forks: 8

chvandorp/hboms
Python package for automatically generating Stan source code for hierarchical Bayesian ordinary differential equation models.
Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

americocunhajr/UERJ-UQ-CSE
Uncertainty Quantification for Computational Science and Engineering
Size: 153 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 2

americocunhajr/RandBar
RandBar is a Matlab code to simulate the nonlinear stochastic dynamics of a bar structural system with attached discrete elements.
Language: MATLAB - Size: 12.3 MB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 1

americocunhajr/ORCHARD
ORCHARD is a Matlab code for simulation and visualization of the nonlinear dynamics of an orchard sprayer tower.
Language: MATLAB - Size: 14.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

americocunhajr/ELEVEN
ELEVEN is a Matlab code for robust optimization and uncertainty quantification of an elevator brake system.
Language: MATLAB - Size: 2.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

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.
Language: MATLAB - Size: 1.2 MB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 2

americocunhajr/ARBO
ARBO is a Matlab/C++ package for simulation and analysis of arbovirus nonlinear dynamics.
Language: MATLAB - Size: 103 MB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 1

americocunhajr/FAILURE
FAILURE is a Matlab code to simulate the propagation of uncertainties in a plane stress problem subjected to uncertainties.
Language: MATLAB - Size: 2.19 MB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

Kaleidophon/nlp-uncertainty-zoo
Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
Language: Python - Size: 7.83 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 53 - Forks: 5

AlexanderVNikitin/kernel-language-entropy
Code for Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities (NeurIPS'24)
Language: Python - Size: 773 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 18 - Forks: 1

SciML/SciMLExpectations.jl
Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
Language: Julia - Size: 74.4 MB - Last synced at: 2 days ago - Pushed at: about 1 month ago - Stars: 67 - Forks: 20

SciML/PolyChaos.jl
A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.
Language: Julia - Size: 4.13 MB - Last synced at: 2 days ago - Pushed at: 7 months ago - Stars: 122 - Forks: 27

awslabs/cis-matching-tasks
A package for constructing confidence intervals for error rates in matching tasks such as 1:1 face and speaker verification.
Language: Python - Size: 644 KB - Last synced at: about 8 hours ago - Pushed at: 11 months ago - Stars: 8 - Forks: 0

microsoft/protein-uq
Benchmarking uncertainty quantification methods on proteins.
Language: Jupyter Notebook - Size: 131 MB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 20 - Forks: 4

WRHGroup/PyLandslide
Machine learning-assisted Python tool for landslide susceptibility mapping and uncertainty analysis.
Language: Python - Size: 154 MB - Last synced at: 24 days ago - Pushed at: about 1 year ago - Stars: 23 - Forks: 3

tomswinburne/POPS-Regression
Efficient misspecification uncertainties for linear regression
Language: Jupyter Notebook - Size: 2 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 8 - Forks: 1

DLR-MI/UTrack
Multi-Object Tracking with Uncertain Detections [ECCV 2024 UnCV]
Language: Python - Size: 189 MB - Last synced at: 24 days ago - Pushed at: 7 months ago - Stars: 59 - Forks: 1

ZBox1005/CoT-UQ
[arXiv 2025] "CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought"
Language: Python - Size: 37.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 10 - Forks: 2

LLNL/ibis
Interactive Bayesian Inference and Sensitivity
Language: Python - Size: 37.2 MB - Last synced at: about 9 hours ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

architdatar/ml_uncertainty
Get prediction intervals, confidence intervals, and parameter uncertainties for various machine learning models
Language: Python - Size: 1.54 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 14 - Forks: 2

MolecularAI/uq4dd
UQ4DD: Uncertainty Quantification for Drug Discovery
Language: Python - Size: 725 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 0

sandialabs/quinn
Quantification of Uncertainties in Neural Networks
Language: Python - Size: 7.5 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 11 - Forks: 0
