Search Results - RepositoryStats

129

1.8k

mit

34

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

887

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

235 commits to main branch, last one 24 days ago

SALib SALib

236

872

mit

18

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

1,963 commits to main branch, last one 7 days ago

conformal-prediction aangelopoulos

86

751

mit

12

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 6 months ago

Awesome-LLM-Uncertainty-Reliability-Robustness jxzhangjhu

43

637

mit

24

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 3 months ago

deep-learning-uncertainty AlaaLab

78

597

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

128

593

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 a day ago

awesome-uncertainty-deeplearning ENSTA-U2IS-AI

50

535

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

148 commits to main branch, last one 28 days ago

bayesian-torch IntelLabs

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516

bsd-3-clause

17

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

Created 2020-12-17

140 commits to main branch, last one 8 months ago

chaospy jonathf

87

439

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

663 commits to master branch, last one a day ago

crepes henrikbostrom

34

434

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 6 days ago

BayesFlow stefanradev93

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340

mit

20

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 4 days ago

torch-uncertainty ENSTA-U2IS-AI

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281

apache-2.0

8

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

1,308 commits to main branch, last one 3 days ago

puncc deel-ai

16

279

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

184 commits to main branch, last one 2 months ago

deephyper deephyper

60

272

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

2,886 commits to master branch, last one 18 days ago

UQpy SURGroup

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272

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 12 days ago

UQ360 IBM

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254

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

233

other

18

Uncertainty treatment library

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

Created 2015-08-14

6,549 commits to master branch, last one 9 days ago

conformal_classification aangelopoulos

36

225

mit

8

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

221

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

133

218

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

11,345 commits to devel branch, last one a day ago

deep-kernel-transfer BayesWatch

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197

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

awesome-conformal-prediction valeman

18

196

cc0-1.0

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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

1,003 commits to main branch, last one 8 days ago

mrcal dkogan

15

190

apache-2.0

13

Next-generation camera-modeling toolkit

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

Created 2021-02-23

4,809 commits to master branch, last one 3 days ago

Topics-In-Modern-Statistical-Learning dobriban

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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 4 months ago

xdem GlacioHack

39

137

mit

7

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

630 commits to main branch, last one 16 days ago