Search Results - RepositoryStats

130

1.8k

mit

35

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

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

Created 2020-09-06

151 commits to main branch, last one about a year ago

fortuna awslabs

46

892

apache-2.0

12

A Library for Uncertainty Quantification.

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

Created 2022-11-17

238 commits to main branch, last one 28 days ago

SALib SALib

239

891

mit

19

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

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

Created 2013-05-30

1,966 commits to main branch, last one 2 months ago

conformal-prediction aangelopoulos

89

805

mit

13

Lightweight, useful implementation of conformal prediction on real data.

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

Created 2021-12-25

151 commits to main branch, last one 9 months ago

Awesome-LLM-Uncertainty-Reliability-Robustness jxzhangjhu

47

683

mit

25

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

llms gpt-3 gpt-4 safety chatgpt prompting robustness calibration reliability awesome-list hallucination chain-of-thought prompt-engineering in-context-learning large-language-models uncertainty-estimation uncertainty-quantification

Created 2023-03-20

150 commits to main branch, last one 6 months ago

deep-learning-uncertainty AlaaLab

77

612

unknown

32

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

Created 2019-06-29

142 commits to master branch, last one 2 years ago

emukit EmuKit

127

610

apache-2.0

17

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

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

Created 2018-09-04

387 commits to main branch, last one 2 months ago

awesome-uncertainty-deeplearning ENSTA-U2IS-AI

57

598

mit

28

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

awesome deep-learning machine-learning awesome-resources deep-neural-networks uncertainty-analysis uncertainty-estimation deep-learning-tutorials uncertainty-quantification uncertainty-neural-networks

Created 2022-01-06

152 commits to main branch, last one 15 days ago

bayesian-torch IntelLabs

73

555

bsd-3-clause

18

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

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

This repository has been archived (exclude archived)

Created 2020-12-17

141 commits to main branch, last one 17 days ago

crepes henrikbostrom

35

464

bsd-3-clause

4

Python package for conformal prediction

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

Created 2021-11-17

196 commits to main branch, last one 3 months ago

chaospy jonathf

87

453

mit

24

Chaospy - Toolbox for performing uncertainty quantification.

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

Created 2014-08-11

668 commits to master branch, last one 10 days ago

awesome-conformal-prediction valeman

35

438

other

10

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

r python awesome datascience probability uncertainty awesome-list deeplearning machinelearning machine-learning conformal-prediction uncertainty-estimation probability-distribution probability-distributions uncertainty-quantification

Created 2021-12-10

1,074 commits to main branch, last one 6 days ago

bayesflow bayesflow-org

55

402

mit

19

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

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

Created 2019-11-17

1,158 commits to master branch, last one 2 months ago

torch-uncertainty ENSTA-U2IS-AI

20

322

apache-2.0

9

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

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

Created 2023-02-01

1,433 commits to main branch, last one about a month ago

puncc deel-ai

16

307

unknown

5

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

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

Created 2022-07-20

194 commits to main branch, last one about a month ago

UQpy SURGroup

81

279

mit

17

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

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

Created 2017-12-01

2,550 commits to master branch, last one 3 months ago

deephyper deephyper

60

276

bsd-3-clause

18

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

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

Created 2018-11-06

2,972 commits to master branch, last one 5 days ago

UQ360 IBM

61

257

apache-2.0

20

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

metrics trusted-ai calibration uncertainty machine-learning bayesianneuralnetwork uncertainty-estimates artificial-intelligence uncertainty-quantification

Created 2021-04-28

189 commits to main branch, last one about a year ago

openturns openturns

93

244

other

20

Uncertainty treatment library

python metamodel reliability sensitivity optimization data-analysis stochastic-process probability-distribution uncertainty-quantification

Created 2015-08-14

6,816 commits to master branch, last one 9 days ago

conformal_classification aangelopoulos

36

235

mit

9

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).

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

Created 2020-09-04

135 commits to master branch, last one about a year ago

uncertainpy simetenn

50

225

gpl-3.0

15

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

python neuroscience sensitivity-analysis computational-modeling uncertainty-quantification

Created 2015-04-23

1,747 commits to master branch, last one 3 years ago

raven idaholab

135

222

apache-2.0

27

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

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

Created 2017-03-23

11,379 commits to devel branch, last one 3 days ago

deep-kernel-transfer BayesWatch

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201

unknown

14

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

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

Created 2019-10-10

53 commits to master branch, last one 2 years ago

mrcal dkogan

16

198

apache-2.0

14

Next-generation camera-modeling toolkit

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

Created 2021-02-23

4,856 commits to master branch, last one 2 days ago

Topics-In-Modern-Statistical-Learning dobriban

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163

unknown

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

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

Created 2021-11-06

145 commits to main branch, last one 7 months ago

xdem GlacioHack

42

154

apache-2.0

8

Analysis of digital elevation models (DEMs)

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

Created 2020-11-11

659 commits to main branch, last one 5 days ago

lightning-uq-box lightning-uq-box

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apache-2.0

7

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

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

Created 2023-02-17

289 commits to main branch, last one 11 days ago

Conffusion eliahuhorwitz

5

137

unknown

5

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

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

Created 2022-11-17

11 commits to main branch, last one 2 years ago

pestpp usgs

72

135

unknown

24

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

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

Created 2019-03-07

2,457 commits to master branch, last one 19 days ago

DEAR Cogito2012

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123

apache-2.0

5

[ICCV 2021 Oral] Deep Evidential Action Recognition

debiasing ood-detection model-calibration action-recognition openset-recognition video-understanding evidential-deep-learning uncertainty-quantification

Created 2021-02-24

1,137 commits to master branch, last one about a year ago