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Search results for uncertainty quantification
uncertainty-quantification
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133 search results found
Awesome Conformal Prediction
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3,097
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Uncertainty Toolbox
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1,421
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Fortuna
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824
A Library for Uncertainty Quantification.
Salib
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783
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Emukit
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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.
Deep Learning Uncertainty
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479
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Awesome Llm Uncertainty Reliability Robustness
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407
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
Bayesian Torch
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396
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Chaospy
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384
Chaospy - Toolbox for performing uncertainty quantification.
Conformal Prediction
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349
Lightweight, useful implementation of conformal prediction on real data.
Awesome Uncertainty Deeplearning
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329
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Deephyper
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253
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Uq360
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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.
Uqpy
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216
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Bayesflow
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216
A Python library for amortized Bayesian workflows using generative neural networks.
Openturns
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203
Uncertainty treatment library
Puncc
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201
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Raven
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197
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
Crepes
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172
Conformal classifiers, regressors and predictive systems
Conformal_classification
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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).
Deep Kernel Transfer
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142
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Torch Uncertainty
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132
Uncertainty for deep learning models in PyTorch 🌱
Uncertainpy
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131
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Topics In Modern Statistical Learning
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131
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
Mrcal
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130
Next-generation camera-modeling toolkit
Pestpp
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115
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Polychaos.jl
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112
A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.
Mads.jl
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100
MADS: Model Analysis & Decision Support
Dear
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100
[ICCV 2021 Oral] Deep Evidential Action Recognition
Xdem
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98
Analysis of digital elevation models (DEMs)
Masksembles
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90
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR2021).
Easyvvuq
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81
Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
Uq_bnn
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79
Uncertainty quantification using Bayesian neural networks in classification
Korali
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67
High-performance framework for uncertainty quantification, optimization and reinforcement learning.
Monaco
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65
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
Uqtk
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62
Sandia Uncertainty Quantification Toolkit
Pygpc
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62
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
Scimlexpectations.jl
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61
Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
Tasmanian
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60
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
Conformal Time Series
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60
Conformal prediction for time-series applications.
Een
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57
EEN: Error Encoding Network
Dun
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52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Spatial Smoothing
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51
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
Azimuth
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50
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
Cnn Surrogate
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47
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
Probconserv
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44
Datasets and code for results presented in the ProbConserv paper
Opencossan
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43
OpenCossan is an open and free toolbox for uncertainty quantification and management.
Avuc
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40
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
Sivi
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39
Use neural network to construct expressive hierarchical distribution; Optimizing a novel bound with theoretical guarantees; A fast and robust method with accurate uncertainty estimation. (ICML 2018)
Gan
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39
Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncertainty quantification
Uncertainty Wizard
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39
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.
Tablespoon
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38
🥄✨Time-series Benchmark methods that are Simple and Probabilistic
Conffusion
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37
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
Mogp Emulator
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36
Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
Lightning Uq Box
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35
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
Lp_bnn
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34
This repository contains an official implementation of LPBNN.
Uq Nlg
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34
Conformal Risk
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33
Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.
Bayescap
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32
(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
Nlp Uncertainty Zoo
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32
Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
Sde Net
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32
Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
Ensemble Conformalized Quantile Regression
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31
Valid and adaptive prediction intervals for probabilistic time series forecasting
Ww_tvol_study
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30
Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
Im2im Uq
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29
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
Affineinvariantmcmc.jl
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29
Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler
Muad Dataset
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23
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]
Digitalhistopath
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23
Uncrtaints
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23
Pypcga
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20
pyPCGA: fast and scalable inverse modeling approach
Torchuq
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20
A library for uncertainty quantification based on PyTorch
Vatl4pose Wacv2024
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19
[WACV2024] Official PyTorch implimentation for ``Active Transfer Learning for Efficient Video-Specific Human Pose Estimation''
Archnetsci
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19
Code repository and Bookdown project for Online Companion to Network Science in Archaeology by Tom Brughmans and Matthew A. Peeples (Cambridge Manuals in Archaeology)
Dpi
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19
Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
Uncertaintyquantification.jl
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19
Uncertainty Quantification in Julia
Biscuit
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18
Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding
Psuade
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18
Problem Solving environment for Uncertainty Analysis and Design Exploration
Awesome Failure Detection
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18
A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
Conformalized Gnn
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17
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
Biguq.jl
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17
Bayesian Information Gap Decision Theory
Ahead
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17
Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
Dgbm
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17
Distributional Gradient Boosting Machines
Gdm Pce
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16
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
Modeling Uncertainty Local Explainability
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16
Local explanations with uncertainty 💐!
Temporal Smoothing
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16
(AAAI 2021) Official TensorFlow implementation of "Vector Quantized Bayesian Neural Network Inference for Data Streams", a temporal smoothing for efficient uncertainty estimation
Scalablebdl
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15
Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
Profit
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15
Probabilistic Response mOdel Fitting with Interactive Tools
Torsionfit
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15
Bayesian tools for fitting molecular mechanics torsion parameters to quantum chemical data.
Probvlm
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15
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
Pesto
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15
PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.
Markovbounds.jl
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14
A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial data
Uncertaintyfusenet For Covid 19 Classification
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14
Code implementation of 'UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection'
Protein Uq
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13
Benchmarking uncertainty quantification methods on proteins.
Fmfp
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13
PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
Evaluating Eeg Representations
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12
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
Hardest
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12
The HARDness ESTimation package: A library for ranking images from a dataset by hardness with respect to a specific detector.
Gsum
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12
A Bayesian model of series convergence using Gaussian sums
Miles Guess
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11
Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
Transitional_ensemble_mcmc
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10
Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model Updating.
Mimo Unet
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10
PyTorch implementation of Probabilistic MIMO U-Net
Ahead_python
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10
Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
1-100 of 133 search results
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