SALib
SALib: An open-source Python library for Sensitivity Analysis - Published in JOSS (2017)
Qlunc
Qlunc: Quantification of lidar uncertainty - Published in JOSS (2021)
Simulation Decomposition in Python
Simulation Decomposition in Python - Published in JOSS (2024)
NoisySignalIntegration.jl
NoisySignalIntegration.jl: A Julia package for uncertainty evaluation of numeric integrals - Published in JOSS (2021)
undate
A Python library for working with fuzzy, partial, or otherwise uncertain dates
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
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.
https://github.com/sktime/pytorch-forecasting
Time series forecasting with PyTorch
competing-representations-shape-evidence-accumulation
Human and sim. behavioral / small-scale neural data for paper: https://www.biorxiv.org/content/10.1101/2022.10.03.510668v2
chemprop
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
modelbiasesann
Investigation of model biases in historical internal variability using explainable AI
evidential-deep-learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
metrolopy
Tools for uncertainty propagation and measurement unit conversion — Outils pour la propagation des incertitudes et la conversion d'unités de mesure
https://github.com/cwwhitney/nifam_codas_school_garden
Establishment of school gardens to improve nutrition of children in urban Hanoi
https://github.com/biosteamdevelopmentgroup/bioindustrial-park
BioSTEAM's Premier Repository for Biorefinery Models and Results
survHE
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.
https://github.com/androsovas/intvalpy
IntvalPy - a Python interval computation library
uncertainty_dsplfeatureselection
The explicit representation of uncertainty in a dynamic software production line variability model and feature ranking in final configuration to improve robustness in product configuration.
global-canopy-height-model
This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.
https://github.com/csinva/dnn-ensemble
Testing the properties of ensembled neural networks.
https://github.com/SepKfr/Coarse-and-Fine-Grained-Forecasting-Via-GP-Blurring-Effect
Forecast-blur-denoise forecasting model with PyTorch
biosteam_lca
An agile life cycle assessment (LCA) platform that simultaneously characterize the economic and environmental impacts of biofuels and bioproducts under uncertainty.
herg-binding-mechanisms
Source code and data for reproducing "The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk".
code
This repository combines all the code written for or used in the EMPIR project 17IND12 Metrology for the Factory of the Future to enable pulling/cloning all the code and all coding related documents at once.
1
When determining equilibrium constants of multi-substrate / multi-product reactions, their ratios affect the uncertainty of the result.
modeling-uncertainty-local-explainability
Local explanations with uncertainty 💐!
futurecoord
Model-based AI approach for network and service coordination leveraging uncertain traffic forecasts
https://github.com/cwwhitney/decision_modeling_tutorial
A tutorial for a one day lecture and experiential process of decision modeling
https://github.com/cjabradshaw/crocharvest
Saltwater crocodile sustainable harvest model
kilobots-individuality-alife-23
The codes we used for our ALife23 paper, including the implementation of inter-individual variations in heading bias of Kilobots simulated in ARGoS.
https://github.com/kukuster/ci_methods_analyser
Analyse efficacy of your own confidence interval (CI) methods
bears
Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.
folktexts
Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!
https://github.com/minikin/uncertain-rs
A Rust library for uncertainty-aware programming, implementing the approach from "Uncertain<T>: A First-Order Type for Uncertain Data" by Bornholt, Mytkowicz, and McKinley.