GitHub topics: uncertainty-quantification
oliverneut/bayesian-dpr
Bayesian-DPR â A PyTorch implementation of Bayesian Variational Last Layers (VBLL) for Dense Passage Retrieval, augmenting BERT-based DPR with uncertainty estimation for more robust and interpretable retrieval.
Language: Python - Size: 128 KB - Last synced at: about 13 hours ago - Pushed at: about 14 hours ago - Stars: 0 - Forks: 0

team-daniel/cedl
Our Conflict-aware Evidential Deep Learning (C-EDL) method enhances robustness to OOD and adversarial inputs by combining evidence from metamorphic transformations and reducing evidence when conflicts arise, signalling higher uncertainty.
Language: Python - Size: 567 KB - Last synced at: about 19 hours ago - Pushed at: about 19 hours ago - Stars: 0 - Forks: 0

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: Python - Size: 798 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 235 - Forks: 139

jacopo-minniti/ISUC
ISUC is a general framework for training uncertainty classifiers using internal activations from Large Language Models.
Language: Python - Size: 317 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

Techtonique/ahead
Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
Language: R - Size: 9.12 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 23 - Forks: 6

microsoft/protein-uq
Benchmarking uncertainty quantification methods on proteins.
Language: Jupyter Notebook - Size: 131 MB - Last synced at: 2 days ago - Pushed at: 4 months ago - Stars: 21 - Forks: 4

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: 625 - Forks: 51

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: 4 days ago - Pushed at: 5 days ago - Stars: 95 - Forks: 28

openturns/openturns
Probabilistic modelling and uncertainty quantification library
Language: C++ - Size: 86.4 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 268 - Forks: 96

ENSTA-U2IS-AI/torch-uncertainty
Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
Language: Python - Size: 6.95 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 394 - Forks: 32

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: 45.7 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 752 - Forks: 65

dkogan/mrcal
Next-generation camera-modeling toolkit
Language: Python - Size: 9.83 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 227 - Forks: 19

chvandorp/hboms
Python package for automatically generating Stan source code for hierarchical Bayesian ordinary differential equation models.
Language: Jupyter Notebook - Size: 2.93 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

usgs/pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Language: C++ - Size: 1.09 GB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 150 - Forks: 79

PDAF/PDAF
Parallel Data Assimilation Framework
Language: Fortran - Size: 20.6 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 27 - Forks: 12

m4siko/InfernoCalibNet
Calibrating neural networks with Bayesian nonparametric regression (Inferno) to quantify uncertainty and improve prediction reliability.
Language: Jupyter Notebook - Size: 434 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

GlacioHack/xdem
Analysis of digital elevation models (DEMs)
Language: Python - Size: 23.9 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 177 - Forks: 43

aangelopoulos/conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
Language: Jupyter Notebook - Size: 38.8 MB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 886 - Forks: 103

SALib/SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Language: Python - Size: 6 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 923 - Forks: 249

ml-stat-Sustech/TorchCP
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
Language: Python - Size: 9.61 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 386 - Forks: 45

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: 8 days ago - Pushed at: 8 days ago - Stars: 317 - Forks: 82

Pongpisit-Thanasutives/parametric-discovery Fork of snagcliffs/parametric-discovery
Parametric PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)
Language: Jupyter Notebook - Size: 30.6 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

aangelopoulos/conformal-time-series
Conformal prediction for time-series applications.
Language: Jupyter Notebook - Size: 829 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 115 - Forks: 5

SUwonglab/CausalBGM
An AI-powered Bayesian generative modeling approach for causal inference in observational studies
Language: Python - Size: 2.43 MB - Last synced at: 11 days ago - Pushed at: 13 days ago - Stars: 6 - Forks: 4

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: 14 days ago - Pushed at: 3 months ago - Stars: 16 - Forks: 2

team-daniel/MC-CP
All the material needed to use MC-CP and the Adaptive MC Dropout method
Language: Jupyter Notebook - Size: 4.07 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 23 - Forks: 5

AkchurinDA/Fortuna.jl
General-purpose package for structural and system reliability analysis purely written in the Julia programming language.
Language: Julia - Size: 49 MB - Last synced at: 6 days ago - Pushed at: 24 days ago - Stars: 19 - Forks: 2

gianlucadetommaso/caliber
Model-agnostic calibration and performance enhancement.
Language: Python - Size: 20.7 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 6 - Forks: 0

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: 16 days ago - Pushed at: 17 days ago - Stars: 751 - Forks: 50

madsjulia/Mads.jl
MADS: Model Analysis & Decision Support
Language: HTML - Size: 184 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 104 - Forks: 21

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: 16 days ago - Pushed at: 3 months ago - Stars: 1,896 - Forks: 137

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: 413 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

STARS-Data-Fusion/STARSDataFusion.jl
Spatial Timeseries for Automated high-Resolution multi-Sensor data fusion (STARS) Julia Package
Language: Julia - Size: 8.58 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 5 - Forks: 2

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: 7.54 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 2 - Forks: 4

OliverHennhoefer/unquad
Uncertainty Quantification in Anomaly Detection
Language: Python - Size: 93.6 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 47 - Forks: 6

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: 350 KB - Last synced at: 18 days ago - Pushed at: 19 days ago - Stars: 673 - Forks: 66

deel-ai/puncc
ð Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Language: Python - Size: 13.8 MB - Last synced at: 15 days ago - Pushed at: 5 months ago - Stars: 328 - Forks: 17

IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Language: Python - Size: 255 KB - Last synced at: 16 days ago - Pushed at: about 2 months ago - Stars: 590 - Forks: 80

leoandeol/cods
ð CODS - Conformal Object Detection and Segmentation
Language: Jupyter Notebook - Size: 85.6 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 12 - Forks: 0

americocunhajr/ShortCourse-UQ-PhysicalSystems
Modeling and Quantification of Uncertainties in Physical Systems
Size: 91.4 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

Plant-Food-Research-Open/calisim
A toolbox for the calibration and evaluation of simulation models.
Language: Python - Size: 7.32 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 14 - Forks: 2

buqeye/gsum
A Bayesian model of series convergence using Gaussian sums
Language: Python - Size: 73.1 MB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 2

FriesischScott/UncertaintyQuantification.jl
Uncertainty Quantification in Julia
Language: Julia - Size: 38.3 MB - Last synced at: 16 days ago - Pushed at: 3 months ago - Stars: 36 - Forks: 11

bezirganyan/DBF_uncertainty
Original PyTorch implementation of AIStats 2025 paper: Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion
Language: Python - Size: 20.1 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 2 - Forks: 0

deephyper/deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Language: Python - Size: 44.3 MB - Last synced at: 14 days ago - Pushed at: 18 days ago - Stars: 289 - Forks: 63

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: 22 days ago - Pushed at: 22 days ago - Stars: 178 - Forks: 18

ihsan1990-90/MCSpectra_app
Source code for the MCSpectra spectral simulation tool
Language: Python - Size: 76.7 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

egonmedhatten/online-cp
Repository for online conformal prediction methods
Language: Jupyter Notebook - Size: 24.5 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 3 - Forks: 0

Pongpisit-Thanasutives/UBIC-test
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Language: Jupyter Notebook - Size: 66 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

FHoltorf/MarkovBounds.jl
A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial data
Language: Julia - Size: 8.07 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 15 - 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: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

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: 285 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 12 - Forks: 1

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: 3.25 MB - Last synced at: 18 days ago - Pushed at: 18 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: 24 days ago - Pushed at: 7 months ago - Stars: 39 - Forks: 3

bmucsanyi/untangle
Large-scale uncertainty benchmark in deep learning.
Language: Python - Size: 1.84 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 56 - Forks: 3

henrikbostrom/crepes
Python package for conformal prediction
Language: Python - Size: 24.3 MB - Last synced at: 15 days ago - Pushed at: 2 months ago - Stars: 503 - Forks: 39

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: 29 days ago - Pushed at: 7 months ago - Stars: 64 - Forks: 6

mertyg/beyond-confidence-atypicality
Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
Language: Python - Size: 26.4 KB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 3

americocunhajr/PRISM
PRISM is a pure-Python toolkit that delivers statistically-robust, probabilistic predictions of a componentâs remaining useful life by coupling data-driven parameter inference with global sensitivity analysis and Monte-Carlo uncertainty propagation in a single, reproducible workflow.
Size: 1.05 MB - Last synced at: 2 days ago - Pushed at: 30 days ago - Stars: 1 - Forks: 0

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: 10 days 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

jonathf/chaospy
Chaospy - Toolbox for performing uncertainty quantification.
Language: Python - Size: 54.5 MB - Last synced at: 15 days ago - Pushed at: 3 months ago - Stars: 461 - Forks: 87

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

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

ngalioto/bside
Bayesian system identification toolbox
Language: Python - Size: 720 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0

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: 10 days ago - Pushed at: over 2 years ago - Stars: 56 - Forks: 10

WRHGroup/PyLandslide
Machine learning-assisted Python tool for landslide susceptibility mapping and uncertainty analysis.
Language: Python - Size: 154 MB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 25 - Forks: 3

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 0

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

smasky/UQPyL
UQPyL is a python package for uncertainty quantification and parameter optimization. åæ°äļįĄŪåŪæ§åæåäžåå·Ĩå ·å ã
Language: Python - Size: 264 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 3

mit-ll-responsible-ai/equine
Establishing Quantified Uncertainty in Neural Networks
Language: Python - Size: 17.9 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 1

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: about 1 month ago - Pushed at: 10 months ago - Stars: 265 - Forks: 61

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

JPL-Evapotranspiration-Algorithms/monte-carlo-sensitivity
Monte-Carlo Sensitivity Analysis
Language: Python - Size: 36.1 KB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

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: 2 days ago - Pushed at: 5 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: about 1 month ago - Pushed at: 4 months ago - Stars: 112 - Forks: 8

lucadellalib/bayestorch
Lightweight Bayesian deep learning library for fast prototyping based on PyTorch
Language: Python - Size: 104 KB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 0

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

simetenn/uncertainpy
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Language: Python - Size: 32.9 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 230 - Forks: 50

awslabs/fortuna ðĶ
A Library for Uncertainty Quantification.
Language: Python - Size: 4.56 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 913 - Forks: 48

deel-ai/uq-masterclass
This repository contains the notebooks and related materials for the master class "Uncertainty Quantification".
Language: Jupyter Notebook - Size: 29.6 MB - Last synced at: 22 days ago - Pushed at: 6 months ago - Stars: 8 - Forks: 0

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: about 2 months ago - Pushed at: about 2 months 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1

FilippoMB/Ensemble-Conformalized-Quantile-Regression
Valid and adaptive prediction intervals for probabilistic time series forecasting.
Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 93 - Forks: 10

dobriban/Topics-In-Modern-Statistical-Learning
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
Size: 89 MB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 170 - Forks: 18

QuantumMisaka/dpeva
Deep Potential Evolution Accelerator
Language: Python - Size: 29.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 16 - Forks: 0

Ruiyang-061X/Awesome-MLLM-Uncertainty
âĻA curated list of papers on the uncertainty in multi-modal large language model (MLLM).
Size: 381 KB - Last synced at: 19 days ago - Pushed at: 2 months ago - Stars: 44 - Forks: 0

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: about 2 months ago - Pushed at: about 2 months ago - Stars: 95 - Forks: 41

sandialabs/pytuq
Python Toolkit for Uncertainty Quantification
Language: Python - Size: 6.45 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 0

dylan-slack/Modeling-Uncertainty-Local-Explainability
Local explanations with uncertainty ð!
Language: Python - Size: 7.57 MB - Last synced at: 14 days ago - Pushed at: almost 2 years ago - Stars: 40 - Forks: 15

vars-tool/vars-tool
VARS-TOOL sensitivity analysis package in Python
Language: Jupyter Notebook - Size: 53.2 MB - Last synced at: 13 days ago - Pushed at: almost 3 years ago - Stars: 26 - Forks: 8

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: 6 days ago - Pushed at: about 1 month ago - Stars: 11 - Forks: 1

redmod-team/profit
Probabilistic Response mOdel Fitting with Interactive Tools
Language: Python - Size: 3.71 MB - Last synced at: 26 days ago - Pushed at: 4 months ago - Stars: 15 - Forks: 10

slimgroup/WISE.jl
WISE: full-Waveform variational Inference via Subsurface Extensions
Language: Julia - Size: 23.9 MB - Last synced at: 14 days ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0

duqtools/duqtools
Dynamic uncertainty quantification for Tokamak reactor simulations modelling
Language: Jupyter Notebook - Size: 9.35 MB - Last synced at: about 2 months ago - Pushed at: about 2 months 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: 18 days ago - Pushed at: 8 months ago - Stars: 32 - Forks: 3

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: about 2 months ago - Pushed at: about 2 months 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: 7 days ago - Pushed at: about 2 months ago - Stars: 80 - Forks: 25
