Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.

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C++r Stan shell uncertainty survival-analysis rstan health-economic-evaluation inla hamiltonian-monte-carlo survival-models frequentist plotting-survival-curves

uapca

Uncertainty-aware principal component analysis.

✭ 16

typescript javascript visualization machine-learning uncertainty dimensionality-reduction hacktoberfest

awesome-conformal-prediction

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

✭ 998

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

welleng

A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.

✭ 79

python engineering survey uncertainty drilling directional-drilling wbp wellbore error-model drilling-engineering survey-listings survey-stations well-design well-engineering

pytorch-ensembles

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

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Jupyter Notebook python shell deep-learning pytorch uncertainty ensembles iclr2020

chemprop

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

✭ 75

python HTML CSS shell neural-network chemistry molecule uncertainty drug-discovery bayesian-optimization active-learning virtual-screening evidential-deep-learning

Bioindustrial-Park

BioSTEAM's Premier Repository for Biorefinery Models and Results

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Jupyter Notebook python HTML monte-carlo uncertainty sensitivity ethanol biodiesel lipid-cane biofuel bioproduct techno-economic-analysis corn-stover

lolo

A random forest

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scala Jupyter Notebook python random-forest machine-learning-algorithms regression uncertainty classification jackknife-variance-estimates

uncertainty-wizard

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

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python shell testing keras uncertainty uncertainty-neural-networks uncertainty-quantification keras-tensorflow

spatial-smoothing

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

✭ 68

python Jupyter Notebook neural-network pytorch uncertainty uncertainty-quantification uncertainty-estimation bayesian-neural-networks robustness bayesian-deep-learning

pre-training

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

✭ 90

python shell uncertainty calibration robustness adversarial-examples pretrained data-corruption out-of-distribution-detection ml-safety

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.

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

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