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Search results for python uncertainty quantification
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uncertainty-quantification
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79 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.
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.
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.
Bayesflow
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216
A Python library for amortized Bayesian workflows using generative neural networks.
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.
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.
Crepes
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172
Conformal classifiers, regressors and predictive systems
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.
Mrcal
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130
Next-generation camera-modeling toolkit
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.
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
Een
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57
EEN: Error Encoding Network
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
Avuc
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40
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
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.
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.
Sde Net
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32
Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
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.
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.
Muad Dataset
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23
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]
Uncrtaints
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23
Pypcga
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20
pyPCGA: fast and scalable inverse modeling approach
Vatl4pose Wacv2024
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19
[WACV2024] Official PyTorch implimentation for ``Active Transfer Learning for Efficient Video-Specific Human Pose Estimation''
Biscuit
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18
Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding
Conformalized Gnn
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17
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
Modeling Uncertainty Local Explainability
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16
Local explanations with uncertainty 💐!
Probvlm
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15
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
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
Fmfp
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13
PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
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
Ahead_python
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10
Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
Mimo Unet
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10
PyTorch implementation of Probabilistic MIMO U-Net
Rio Paper
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8
Code and supporting materials for the ICLR 2020 RIO paper
Deeplabv3plus Muad Pytorch
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8
Deeplab V3+ on the MUAD dataset
Dakotathon
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7
A Python API and BMI for the Dakota iterative systems analysis toolkit
Epifnp
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7
Official repo to paper
Duqtools
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7
Dynamic uncertainty quantification for Tokamak reactor simulations modelling
Uqtestfuns
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7
A Python3 library of test functions from the uncertainty quantification community with a common interface for validation and benchmarking purposes.
Slurp_uncertainty_estimate
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6
The implementations for SLURP: Side Learning Uncertainty for Regression Problems (BMVC 2021)
Inn
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6
Detecting Failure Modes in Image Reconstructions with Interval Neural Network Uncertainty
Nomu
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6
NOMU: Neural Optimization-based Model Uncertainty
Chr
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6
Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
Bayesianopttools
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6
Bayesian Optimization and Uncertainty Analyses Tools
Plausible Uncertainties
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5
Methods used in the paper "Plausible Uncertainties for Human Pose Regression".
Topometricuncertainty
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5
Uncertainties in topographic metrics due to truncation errors and elevation uncertainty
Dcedn Gcs
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5
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multi-phase flow in heterogeneous random media
Calfram
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5
Calibration Framework for Machine Learning and Deep Learning
Uncertaintyawarecycleconsistency
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5
Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.
Calibrated Bert Fine Tuning
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5
Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
Dem_error_study
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5
Process case studies on DEM uncertainty analysis at the Mont-Blanc massif and Northern Patagonian Icefield: Hugonnet et al. (2022).
Layerensembles
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5
The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).
S2toarup
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5
Sentinel-2 Top-Of-Atmosphere Radiometric Uncertainty Propagator
Med
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5
Autonomously driving equation discovery, from the micro to the macro, from laptops to supercomputers.
Mastercurves
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5
Python package for automatically superimposing data sets to create a master curve, using Gaussian process regression and maximum a posteriori estimation.
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