Scientific Software
Updated 9 months ago

SALib — Peer-reviewed • Rank 22.8 • Science 100%

SALib: An open-source Python library for Sensitivity Analysis - Published in JOSS (2017)

Scientific Software
Updated 9 months ago

Qlunc — Peer-reviewed • Rank 4.1 • Science 98%

Qlunc: Quantification of lidar uncertainty - Published in JOSS (2021)

Scientific Software · Peer-reviewed
Scientific Software
Updated 9 months ago

Simulation Decomposition in Python — Peer-reviewed • Rank 7.8 • Science 93%

Simulation Decomposition in Python - Published in JOSS (2024)

Physics (40%)
Scientific Software · Peer-reviewed
Scientific Software
Updated 9 months ago

NoisySignalIntegration.jl — Peer-reviewed • Rank 2.7 • Science 95%

NoisySignalIntegration.jl: A Julia package for uncertainty evaluation of numeric integrals - Published in JOSS (2021)

Earth and Environmental Sciences (40%)
Scientific Software · Peer-reviewed
Updated 9 months ago

undate • Rank 9.9 • Science 77%

A Python library for working with fuzzy, partial, or otherwise uncertain dates

Updated 9 months ago

awesome-conformal-prediction • Rank 9.2 • Science 77%

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

Updated 9 months ago

uncertainty-wizard • Rank 4.6 • Science 67%

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.

Updated 9 months ago

ggdist • Rank 20.0 • Science 49%

Visualizations of distributions and uncertainty

Updated 9 months ago

competing-representations-shape-evidence-accumulation • Rank 0.7 • Science 67%

Human and sim. behavioral / small-scale neural data for paper: https://www.biorxiv.org/content/10.1101/2022.10.03.510668v2

Updated 9 months ago

chemprop • Rank 7.9 • Science 59%

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

Updated 9 months ago

modelbiasesann • Rank 2.1 • Science 59%

Investigation of model biases in historical internal variability using explainable AI

Updated 9 months ago

evidential-deep-learning • Rank 12.1 • Science 44%

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

Updated 9 months ago

metrolopy • Rank 10.7 • Science 44%

Tools for uncertainty propagation and measurement unit conversion — Outils pour la propagation des incertitudes et la conversion d'unités de mesure

Updated 9 months ago

https://github.com/cwwhitney/nifam_codas_school_garden • Rank 3.9 • Science 49%

Establishment of school gardens to improve nutrition of children in urban Hanoi

Updated 9 months ago

survHE • Rank 12.7 • Science 36%

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.

Updated 9 months ago

borch • Rank 4.3 • Science 41%

Deep Universal Probabilistic Programming Language

Updated 9 months ago

uncertainty_dsplfeatureselection • Rank 0.0 • Science 44%

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.

Updated 9 months ago

global-canopy-height-model • Rank 5.8 • Science 33%

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.

Updated 9 months ago

modelmetricuncertainty • Rank 4.6 • Science 31%

Python package for Model Metric Uncertainty estimation

Updated 9 months ago

https://github.com/csinva/dnn-ensemble • Rank 2.1 • Science 23%

Testing the properties of ensembled neural networks.

Updated 9 months ago

biosteam_lca • Rank 3.9 • Science 10%

An agile life cycle assessment (LCA) platform that simultaneously characterize the economic and environmental impacts of biofuels and bioproducts under uncertainty.

Updated 9 months ago

herg-binding-mechanisms • Rank 0.7 • Science 13%

Source code and data for reproducing "The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk".

Updated 9 months ago

code • Science 36%

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.

Updated 9 months ago

1 • Science 49%

When determining equilibrium constants of multi-substrate / multi-product reactions, their ratios affect the uncertainty of the result.

Updated 9 months ago

https://github.com/cwwhitney/decision_modeling_tutorial • Science 26%

A tutorial for a one day lecture and experiential process of decision modeling

Updated 9 months ago

kilobots-individuality-alife-23 • Science 44%

The codes we used for our ALife23 paper, including the implementation of inter-individual variations in heading bias of Kilobots simulated in ARGoS.

Updated 9 months ago

bears • Science 67%

Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.

Updated 9 months ago

folktexts • Science 52%

Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!

Updated 9 months ago

https://github.com/minikin/uncertain-rs • Science 26%

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.