uncertainty-quantification

There are 406 repositories under uncertainty-quantification topic.

  • uncertainty-toolbox

    uncertainty-toolbox/uncertainty-toolbox

    Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

    Language:Python1.8k3333125
  • fortuna

    awslabs/fortuna

    A Library for Uncertainty Quantification.

    Language:Python861121745

  • SALib/SALib

    Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

    Language:Python84618318231

  • aangelopoulos/conformal-prediction

    Lightweight, useful implementation of conformal prediction on real data.

    Language:Jupyter Notebook6859980

  • AlaaLab/deep-learning-uncertainty

    Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

    Language:Jupyter Notebook58732278

  • EmuKit/emukit

    A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

    Language:Python57617168127

  • jxzhangjhu/Awesome-LLM-Uncertainty-Reliability-Robustness

    Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

    55322140

  • IntelLabs/bayesian-torch

    A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

    Language:Python478172665

  • ENSTA-U2IS-AI/awesome-uncertainty-deeplearning

    This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

    43428043
  • chaospy

    jonathf/chaospy

    Chaospy - Toolbox for performing uncertainty quantification.

    Language:Python4322324586

  • henrikbostrom/crepes

    Conformal classifiers, regressors and predictive systems

    Language:Python35842128

  • stefanradev93/BayesFlow

    A Python library for amortized Bayesian workflows using generative neural networks.

    Language:Python276226542

  • deephyper/deephyper

    DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

    Language:Python2661814560

  • SURGroup/UQpy

    UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

    Language:Python2631712574

  • IBM/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.

    Language:Python252201157

  • deel-ai/puncc

    👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

    Language:Python24752414

  • openturns/openturns

    Uncertainty treatment library

    Language:C++2241898093

  • aangelopoulos/conformal_classification

    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).

    Language:Jupyter Notebook2178334

  • simetenn/uncertainpy

    Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

    Language:Python217155349
  • torch-uncertainty

    ENSTA-U2IS-AI/torch-uncertainty

    Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

    Language:Python21372916

  • idaholab/raven

    RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.

    Language:C++209261.1k128

  • BayesWatch/deep-kernel-transfer

    Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

    Language:Python194141929

  • dkogan/mrcal

    Next-generation camera-modeling toolkit

    Language:Python178121913

  • dobriban/Topics-In-Modern-Statistical-Learning

    Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc

    1564014
  • Conffusion

    eliahuhorwitz/Conffusion

    Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

    Language:Python132514

  • ykwon0407/UQ_BNN

    Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)

    Language:Jupyter Notebook13141221

  • usgs/pestpp

    tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

    Language:C++1222213368

  • GlacioHack/xdem

    Analysis of digital elevation models (DEMs)

    Language:Python121830537

  • TorchUQ/torchuq

    A library for uncertainty quantification based on PyTorch

    Language:Jupyter Notebook117305

  • Cogito2012/DEAR

    [ICCV 2021 Oral] Deep Evidential Action Recognition

    Language:Python11551418

  • SciML/PolyChaos.jl

    A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.

    Language:Julia115143426

  • Lingkai-Kong/SDE-Net

    Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates

    Language:Python10451218

  • madsjulia/Mads.jl

    MADS: Model Analysis & Decision Support

    Language:HTML101172120

  • cics-nd/cnn-surrogate

    Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

    Language:Python1006352

  • lightning-uq-box/lightning-uq-box

    Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

    Language:Python9761711

  • nikitadurasov/masksembles

    Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

    Language:Python9651113