uncertainty-quantification

There are 33 repositories under uncertainty-quantification topic.

uncertainty-toolbox
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
Language:Python 1876
aangelopoulos / conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
computer-vision conformal conformal-prediction distribution-shift natural-language-processing time-series time-series-prediction uncertainty uncertainty-estimation uncertainty-quantification conformal-inference
Language:Jupyter Notebook 944
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.
conformal-prediction python r machinelearning datascience deeplearning awesome awesome-list probability uncertainty-quantification uncertainty uncertainty-estimation probability-distribution probability-distributions machine-learning ai explainable-ai statistics robust-ml
942
SALib / SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
sensitivity-analysis-library sensitivity-analysis sobol morris python global-sensitivity-analysis numpy salib joss uncertainty uncertainty-quantification
Language:Python 916
fortuna
awslabs / fortuna
A Library for Uncertainty Quantification.
deep-learning neural-networks uncertainty uncertainty-estimation uncertainty-quantification bayesian-inference calibration conformal-prediction model-calibration uncertainty-calibration flax jax ai machine-learning ml
Language:Python 910
jxzhangjhu / Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
awesome-list calibration gpt-3 gpt-4 llms reliability robustness safety uncertainty-estimation uncertainty-quantification chatgpt prompt-engineering prompting chain-of-thought in-context-learning large-language-models hallucination
783
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.
deep-learning uncertainty-quantification uncertainty-estimation uncertainty-neural-networks uncertainty-analysis deep-neural-networks deep-learning-tutorials machine-learning awesome awesome-resources
652
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.
machine-learning bayesian-optimization uncertainty-quantification multi-fidelity experimental-design bayesian-quadrature sensitivity-analysis decision-making emulation python
Language:Python 634
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
Language:Jupyter Notebook 619
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
Language:Python 576
crepes
henrikbostrom / crepes
Python package for conformal prediction
machine-learning conformal-prediction conformal-regressors conformal-predictive-systems python jupyter-notebook confidence-intervals cumulative-distribution-function regression sklearn prediction-intervals uncertainty-quantification quantile-regression conformal-classifiers scikit-learn prediction-sets
Language:Python 493
chaospy
jonathf / chaospy
Chaospy - Toolbox for performing uncertainty quantification.
gaussian-quadrature probability-distribution sensitivity-analysis sparse-grids statistics uncertainty-quantification variance-reduction
Language:Python 456
bayesflow-org / 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
Language:Python 450
torch-uncertainty
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
Language:Python 377
ml-stat-Sustech / TorchCP
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
classification conformal-prediction graph large-language-models regression uncertainty-quantification
Language:Python 362
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
Language:Python 346
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
Language:Python 311
deephyper / deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
automl scalability neural-architecture-search hyperparameter-optimization python tensorflow keras deep-learning hpc machine-learning multi-fidelity pytorch uncertainty-quantification mpi raylib
Language:Python 287
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.
uncertainty-quantification metrics uncertainty-estimates machine-learning artificial-intelligence trusted-ai uncertainty bayesianneuralnetwork calibration
Language:Python 261
openturns / openturns
Uncertainty treatment library
python metamodel probability-distribution stochastic-process optimization data-analysis reliability sensitivity uncertainty-quantification
Language:C++ 257
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).
prediction-sets conformal-prediction conformal machine-learning distribution-free nonparametric nonparametric-statistics classification imagenet artificial-intelligence neural-networks pytorch deep-neural-networks statistics computer-vision vision classifier uncertainty uncertainty-quantification
Language:Jupyter Notebook 238
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.
risk-analysis uncertainty-quantification probabilistic-analysis data-mining optimization-algorithms parametric-analysis validation model-reduction model-calibration
Language:C++ 229
simetenn / uncertainpy
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
uncertainty-quantification sensitivity-analysis neuroscience python computational-modeling
Language:Python 229
dkogan / mrcal
Next-generation camera-modeling toolkit
camera-calibration lens-modeling structure-from-motion uncertainty-quantification
Language:Python 220
BayesWatch / deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
gaussian-processes few-shot-learning bayesian-methods deep-learning deep-kernel-learning one-shot-learning kernel-methods classification regression gpytorch kernel shot-learning uncertainty-quantification uncertainty paper meta-learning kernels
Language:Python 202
GlacioHack / xdem
Analysis of digital elevation models (DEMs)
dem coregistration geostatistics digital-elevation-model error-analysis surface-elevation-data terrain-analysis uncertainty-quantification python gis
Language:Python 182
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
Language:Python 175
dobriban / Topics-In-Modern-Statistical-Learning
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
machine-learning uncertainty-quantification deep-learning conformal-prediction prediction tolerance-intervals calibration
166
usgs / pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
uncertainty-quantification parameter-estimation ensembles optimization-tools optimization sensitivity-analysis global-sensitivity-analysis parallel-computing non-intrusive ensemble-methods
Language:C++ 144
Conffusion
eliahuhorwitz / Conffusion
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
computer-vision conformal-prediction image-generation image-to-image inpainting quantile-regression super-resolution diffusion-models generative-model deep-learning prediction-intervals pytorch uncertainty-estimation uncertainty-quantification diffusion
Language:Python 139
ykwon0407 / UQ_BNN
Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
uncertainty-quantification bayesian-neural-networks
Language:Jupyter Notebook 136
Cogito2012 / DEAR
[ICCV 2021 Oral] Deep Evidential Action Recognition
action-recognition openset-recognition video-understanding uncertainty-quantification evidential-deep-learning debiasing model-calibration ood-detection
Language:Python 128
TorchUQ / torchuq
A library for uncertainty quantification based on PyTorch
pytorch deep-learning uncertainty uncertainty-quantification
Language:Jupyter Notebook 123
SciML / PolyChaos.jl
A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.
polynomial-chaos-expansions orthogonal-polynomials quadrature-rules quadrature uncertainty-quantification uncertainty-propagation julia-language quadrature-integration polynomials differential-equations julia scientific-machine-learning
Language:Julia 122
Lingkai-Kong / SDE-Net
Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
deep-learning uncertainty-quantification robustness open-world-classification
Language:Python 113
aangelopoulos / conformal-time-series
Conformal prediction for time-series applications.
conformal conformal-prediction control control-systems control-theory controls time-series time-series-analysis uncertainty uncertainty-quantification
Language:Jupyter Notebook 112

uncertainty-quantification

uncertainty-toolbox / uncertainty-toolbox

aangelopoulos / conformal-prediction

valeman / awesome-conformal-prediction

SALib / SALib

awslabs / fortuna

jxzhangjhu / Awesome-LLM-Uncertainty-Reliability-Robustness

ENSTA-U2IS-AI / awesome-uncertainty-deeplearning

EmuKit / emukit

AlaaLab / deep-learning-uncertainty

IntelLabs / bayesian-torch

henrikbostrom / crepes

jonathf / chaospy

bayesflow-org / bayesflow

ENSTA-U2IS-AI / torch-uncertainty

ml-stat-Sustech / TorchCP

deel-ai / puncc

SURGroup / UQpy

deephyper / deephyper

IBM / UQ360

openturns / openturns

aangelopoulos / conformal_classification

idaholab / raven

simetenn / uncertainpy

dkogan / mrcal

BayesWatch / deep-kernel-transfer

GlacioHack / xdem

lightning-uq-box / lightning-uq-box

dobriban / Topics-In-Modern-Statistical-Learning

usgs / pestpp

eliahuhorwitz / Conffusion

ykwon0407 / UQ_BNN

Cogito2012 / DEAR

TorchUQ / torchuq

SciML / PolyChaos.jl

Lingkai-Kong / SDE-Net

aangelopoulos / conformal-time-series