uncertainty-quantification

There are 30 repositories under uncertainty-quantification topic.

uncertainty-toolbox
uncertainty-toolbox / uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
uncertainty uncertainty-quantification uncertainty-estimation uncertainty-metrics calibration sharpness uncertainty-toolbox metrics visualizations visualization recalibration predictive-uncertainty scoring-rules uncertainty-calibration toolbox bayesian-neural-networks bayesian-deep-learning
Language:Python 1798
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 882
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 869
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
Language:Jupyter Notebook 745
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
632
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 597
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 592
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
529
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 510
chaospy
jonathf / chaospy
Chaospy - Toolbox for performing uncertainty quantification.
uncertainty-quantification variance-reduction sensitivity-analysis gaussian-quadrature sparse-grids probability-distribution statistics
Language:Python 439
crepes
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
Language:Python 429
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
Language:Python 306
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 279
torch-uncertainty
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
Language:Python 273
SURGroup / UQpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
uncertainty-quantification uncertainty-propagation uncertainty-sampling probability probabilistic stochastic stochastic-process monte-carlo monte-carlo-simulation latin-hypercube latin-hypercube-sampling
Language:Python 272
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
Language:Python 271
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 254
openturns / openturns
Uncertainty treatment library
data-analysis metamodel optimization probability-distribution python reliability sensitivity stochastic-process uncertainty-quantification
Language:C++ 233
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 223
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 221
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
Language:C++ 218
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 196
dkogan / mrcal
Next-generation camera-modeling toolkit
camera-calibration lens-modeling structure-from-motion uncertainty-quantification
Language:Python 190
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.
awesome awesome-list conformal-prediction datascience deeplearning machine-learning machinelearning probability probability-distribution probability-distributions python r uncertainty uncertainty-estimation uncertainty-quantification
176
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
159
Conffusion
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
Language:Python 135
GlacioHack / xdem
Analysis of digital elevation models (DEMs)
dem variogram coregistration geostatistics digital-elevation-model error-analysis surface-elevation-data terrain-analysis uncertainty-quantification python gis
Language:Python 135
ykwon0407 / UQ_BNN
Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
uncertainty-quantification bayesian-neural-networks
Language:Jupyter Notebook 133
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
Language:C++ 127
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 126
TorchUQ / torchuq
A library for uncertainty quantification based on PyTorch
pytorch deep-learning uncertainty uncertainty-quantification
Language:Jupyter Notebook 118
Cogito2012 / DEAR
[ICCV 2021 Oral] Deep Evidential Action Recognition
action-recognition debiasing evidential-deep-learning model-calibration ood-detection openset-recognition uncertainty-quantification video-understanding
Language:Python 116
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 116
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 107
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
Language:HTML 101
cics-nd / cnn-surrogate
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
bayesian-surrogate encoder-decoder image-regression stein-variational-gradient-decent uncertainty-quantification
Language:Python 100