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The Top 23 Uncertainty Quantification Open Source Projects

Open source projects categorized as Uncertainty Quantification
Categories > Uncertainty Quantification
Awesome Conformal Prediction ⭐ 3,097
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
most recent commit 5 months ago
Uncertainty Toolbox ⭐ 1,421
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
total releases 1most recent commit a year ago
Fortuna ⭐ 824
A Library for Uncertainty Quantification.
most recent commit 5 months ago
Salib ⭐ 783
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
dependent packages 61total releases 46most recent commit 5 months agopypi SALib} Downloads
Emukit ⭐ 551
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
dependent packages 4total releases 9most recent commit 6 months agopypi emukit} Downloads
Deep Learning Uncertainty ⭐ 479
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
most recent commit 2 years ago
Awesome Llm Uncertainty Reliability Robustness ⭐ 407
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
most recent commit 6 months ago
Bayesian Torch ⭐ 396
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
dependent packages 1total releases 3most recent commit 6 months agopypi bayesian-torch} Downloads
Chaospy ⭐ 384
Chaospy - Toolbox for performing uncertainty quantification.
dependent packages 20total releases 85most recent commit a year agopypi chaospy} Downloads
Conformal Prediction ⭐ 349
Lightweight, useful implementation of conformal prediction on real data.
most recent commit a year ago
Awesome Uncertainty Deeplearning ⭐ 329
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
most recent commit 5 months ago
Deephyper ⭐ 253
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
dependent packages 1total releases 30most recent commit 5 months agopypi deephyper} Downloads
Uq360 ⭐ 228
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
dependent packages 1total releases 3most recent commit a year agopypi uq360} Downloads
Uqpy ⭐ 216
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
dependent packages 4total releases 32most recent commit 7 months agopypi UQpy} Downloads
Bayesflow ⭐ 216
A Python library for amortized Bayesian workflows using generative neural networks.
total releases 4most recent commit 5 months ago
Openturns ⭐ 203
Uncertainty treatment library
most recent commit 5 months ago
Puncc ⭐ 201
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
most recent commit 5 months ago
Raven ⭐ 197
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
most recent commit 5 months ago
Crepes ⭐ 172
Conformal classifiers, regressors and predictive systems
dependent packages 2total releases 9most recent commit 9 months agopypi crepes} Downloads
Conformal_classification ⭐ 159
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).
most recent commit a year ago
Deep Kernel Transfer ⭐ 142
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
most recent commit 2 years ago
Torch Uncertainty ⭐ 132
Uncertainty for deep learning models in PyTorch 🌱
most recent commit 5 months ago
Uncertainpy ⭐ 131
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
total releases 13most recent commit 3 years ago
The 10 Most Depended On Uncertainty Quantification Open Source Projects
Salib ⭐ 783
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
dependent packages 61total releases 46latest release January 08, 2023most recent commit 5 months agopypi SALib} Downloads
Chaospy ⭐ 384
Chaospy - Toolbox for performing uncertainty quantification.
dependent packages 20total releases 85latest release June 03, 2023most recent commit a year agopypi chaospy} Downloads
Crepes ⭐ 172
Conformal classifiers, regressors and predictive systems
dependent packages 2total releases 9latest release August 21, 2023most recent commit 9 months agopypi crepes} Downloads
Bayesian Torch ⭐ 396
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
dependent packages 1total releases 3latest release December 14, 2022most recent commit 6 months agopypi bayesian-torch} Downloads
Pygpc ⭐ 62
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
dependent packages 1total releases 32latest release October 03, 2023most recent commit 9 months agopypi pygpc} Downloads
Mogp Emulator ⭐ 36
Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
dependent packages 1total releases 6latest release November 04, 2022most recent commit 2 years agopypi mogp-emulator} Downloads
Deephyper ⭐ 253
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
dependent packages 1total releases 30latest release August 21, 2023most recent commit 5 months agopypi deephyper} Downloads
The 10 Latest Releases In Uncertainty Quantification Open Source Projects
Xdem ⭐ 98
Analysis of digital elevation models (DEMs)
total releases 15latest release November 29, 2023most recent commit 5 months ago
Monaco ⭐ 65
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
total releases 22latest release November 05, 2023most recent commit 6 months ago
Duqtools ⭐ 7
Dynamic uncertainty quantification for Tokamak reactor simulations modelling
total releases 18latest release October 30, 2023most recent commit 5 months ago
Tablespoon ⭐ 38
🥄✨Time-series Benchmark methods that are Simple and Probabilistic
total releases 35latest release October 20, 2023most recent commit 8 months ago
Pygpc ⭐ 62
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
dependent packages 1total releases 32latest release October 03, 2023most recent commit 9 months agopypi pygpc} Downloads
Bayesflow ⭐ 216
A Python library for amortized Bayesian workflows using generative neural networks.
total releases 4latest release September 12, 2023most recent commit 5 months ago
Deephyper ⭐ 253
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
dependent packages 1total releases 30latest release August 21, 2023most recent commit 5 months agopypi deephyper} Downloads
Crepes ⭐ 172
Conformal classifiers, regressors and predictive systems
dependent packages 2total releases 9latest release August 21, 2023most recent commit 9 months agopypi crepes} Downloads
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