Uncertainty Quantification Deep Learning ML Frameworks

Methods, benchmarks, and implementations for estimating predictive uncertainty in neural networks through techniques like Bayesian approaches, ensembles, evidential learning, and calibration. Does NOT include general confidence intervals, survival analysis, or uncertainty in non-neural contexts.

There are 66 uncertainty quantification deep learning frameworks tracked. 2 score above 70 (verified tier). The highest-rated is EmuKit/emukit at 72/100 with 647 stars. 1 of the top 10 are actively maintained.

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#	Framework	Score	Tier	Stars	Language
1	EmuKit/emukit A Python-based toolbox of various methods in decision making, uncertainty...	72	Verified	647	Python
2	google/uncertainty-baselines High-quality implementations of standard and SOTA methods on a variety of tasks.	70	Verified	1,568	Python
3	nielstron/quantulum3 Library for unit extraction - fork of quantulum for python3	69	Established	144	Python
4	IBM/UQ360 Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit...	60	Established	267	Python
5	aamini/evidential-deep-learning Learn fast, scalable, and calibrated measures of uncertainty using neural networks!	59	Established	513	Python
6	nikitadurasov/masksembles Official repository for the paper "Masksembles for Uncertainty Estimation"...	56	Established	103	Python
7	oracle/macest Model Agnostic Confidence Estimator (MACEST) - A Python library for...	54	Established	100	Jupyter Notebook
8	aangelopoulos/ppi_py A package for statistically rigorous scientific discovery using machine...	53	Established	279	Python
9	lightning-uq-box/lightning-uq-box Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with...	52	Established	215	Python
10	axelbrando/Mixture-Density-Networks-for-distribution-and-uncertainty-estimation A generic Mixture Density Networks (MDN) implementation for distribution and...	50	Established	356	Jupyter Notebook
11	ENSTA-U2IS-AI/awesome-uncertainty-deeplearning This repository contains a collection of surveys, datasets, papers, and...	50	Established	787	—
12	architdatar/ml_uncertainty Get prediction intervals, confidence intervals, and parameter uncertainties...	49	Emerging	19	Python
13	jacobgil/confidenceinterval The long missing library for python confidence intervals	48	Emerging	146	Python
14	Novartis/UNIQUE A Python library for benchmarking uncertainty estimation and quantification...	48	Emerging	42	Python
15	mit-ll-responsible-ai/equine Establishing Quantified Uncertainty in Neural Networks	46	Emerging	15	Python
16	ai2es/miles-guess Machine learning models for estimating aleatoric and epistemic uncertainty...	42	Emerging	30	Jupyter Notebook
17	borchero/natural-posterior-network Official Implementation of "Natural Posterior Network: Deep Bayesian...	42	Emerging	87	Python
18	ThalesGroup/scio Confidence scores for Neural Networks, made easy!	41	Emerging	22	Python
19	awslabs/fortuna A Library for Uncertainty Quantification.	41	Emerging	921	Python
20	torchbayesian/torchbayesian PyTorch-native Bayesian neural networks for uncertainty quantification in...	39	Emerging	6	Python
21	cambridge-mlg/DUN Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)	39	Emerging	78	Jupyter Notebook
22	hutec/UncertaintyNN Implementation and evaluation of different approaches to get uncertainty in...	38	Emerging	142	Jupyter Notebook
23	katiana22/GDM-PCE Source code of: "Manifold learning-based polynomial chaos expansions for...	37	Emerging	38	Jupyter Notebook
24	cvlab-epfl/zigzag Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation...	37	Emerging	17	Jupyter Notebook
25	AI4PFAS/AI4PFAS Dataset and code for "Uncertainty-Informed Deep Transfer Learning of PFAS Toxicity"	37	Emerging	24	Jupyter Notebook
26	bmucsanyi/untangle Large-scale uncertainty benchmark in deep learning.	37	Emerging	64	Python
27	AlaaLab/deep-learning-uncertainty Literature survey, paper reviews, experimental setups and a collection of...	37	Emerging	640	Jupyter Notebook
28	clabrugere/evidential-deeplearning Implementation of "Evidential Deep Learning to Quantify Classification...	36	Emerging	30	Python
29	AICGijon/quantificationlib QuantificationLib is an open-source library for quantification learning.	36	Emerging	12	Python
30	grtlr/uapca Uncertainty-aware principal component analysis.	36	Emerging	18	TypeScript
31	pasteurlabs/unreasonable_effective_der Supplementary material to reproduce "The Unreasonable Effectiveness of Deep...	36	Emerging	30	Jupyter Notebook
32	TorchUQ/torchuq A library for uncertainty quantification based on PyTorch	35	Emerging	121	Jupyter Notebook
33	DeepWave-KAUST/FWI_Conditional-CNN_UQ-pub Official reproducible material for Conditional Image Prior for Uncertainty...	34	Emerging	3	Jupyter Notebook
34	MolecularAI/uq4dd UQ4DD: Uncertainty Quantification for Drug Discovery	33	Emerging	17	Python
35	tachella/unsure code related to "UNSURE: Unknown Noise level Stein's Unbiased Risk...	33	Emerging	13	Python
36	TeaPearce/Censored_Quantile_Regression_NN NeurIPS paper 'Censored Quantile Regression Neural Networks for...	33	Emerging	11	Jupyter Notebook
37	shoupzwu/UAE A Unified Deep Model of Learning from both Data and Queries for Cardinality...	33	Emerging	28	Python
38	ExplainableML/BayesCap (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in...	33	Emerging	50	Jupyter Notebook
39	JBris/model-calibration-evaluation Evaluating model calibration methods for sensitivity analysis, uncertainty...	32	Emerging	15	Python
40	MunskyGroup/UQBio2023 3rd Annual Undergraduate Quantitative Biology (UQ-bio) Summer School	31	Emerging	14	Python
41	AI4Science-WestlakeU/le-pde-uq [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust...	31	Emerging	16	Jupyter Notebook
42	bezirganyan/DBF_uncertainty Original PyTorch implementation of AIStats 2025 paper: Multimodal Learning...	30	Emerging	10	Python
43	moloud1987/UncertaintyFuseNet-for-COVID-19-Classification Code implementation of 'UncertaintyFuseNet: Robust Uncertainty-aware...	28	Experimental	22	Jupyter Notebook
44	rizbicki/UQ4ML Repository for the book Machine Learning Learning Beyond Point Predictions:...	28	Experimental	33	Jupyter Notebook
45	fregu856/regression_uncertainty Official implementation of "How Reliable is Your Regression Model's...	27	Experimental	18	Python
46	jfc43/self-training-ensembles Propose a principled and practically effective framework for unsupervised...	27	Experimental	16	Python
47	orientino/dum-components Code for "Training, Architecture, and Prior for Deterministic Uncertainty...	27	Experimental	12	Python
48	cvlab-epfl/iter_unc Official code for "Enabling Uncertainty Estimation in Iterative Neural...	27	Experimental	19	Jupyter Notebook
49	zyh-uaiaaaa/Relative-Uncertainty-Learning Official implementation of our NeurIPS2021 paper: Relative Uncertainty...	27	Experimental	55	Python
50	activatedgeek/understanding-bayesian-classification On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification	26	Experimental	21	Jupyter Notebook
51	avitase/mder Supplementary material to reproduce "Multivariate Deep Evidential Regression"	26	Experimental	21	Jupyter Notebook
52	ishida-lab/irreducible [ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A...	24	Experimental	22	Python
53	kachelriess/deep-ensembles deep ensembles for uncertainty estimation	21	Experimental	—	Jupyter Notebook
54	astro-informatics/QuantifAI PyTorch-based radio-interferometric imaging reconstruction package with...	21	Experimental	12	Jupyter Notebook
55	biggzlar/plausible-uncertainties Methods used in the paper "Plausible Uncertainties for Human Pose Regression".	21	Experimental	14	Python
56	ENSTA-U2IS-AI/uqt Uncertainty Tutorial website	21	Experimental	1	HTML
57	ShuaiGuo16/Data-driven-High-dimensional-UQ-Analysis Project source code and data for uncertainty quantification on combustion...	20	Experimental	10	MATLAB
58	thecml/UE-BNNSurv Official TensorFlow implementation of Uncertainty Estimation in Deep...	19	Experimental	3	Jupyter Notebook
59	alextimans/traffic4cast-uncertainty Code repository accompanying the research paper "Uncertainty Quantification...	19	Experimental	12	Jupyter Notebook
60	RyotaUshio/bayes-error-estimation [ICLR2026] Code for the paper "Practical estimation of the optimal...	17	Experimental	6	Python
61	OJules/Uncertainty-Quantification-for-Pediatric-Brain-Cancer-Prognosis This project investigates uncertainty quantification (UQ) methods for ...	17	Experimental	—	Jupyter Notebook
62	OJules/Uncertainty-Quantification-Research Advanced uncertainty quantification methods and statistical analysis for...	13	Experimental	—	—
63	bcau-workshop/bcau2022 BCAU: Becoming Certain About Uncertainty	12	Experimental	1	JavaScript
64	kisnikser/Posterior-Distributions-Proximity Official implementation of "Sample Size Determination: Posterior...	11	Experimental	—	Jupyter Notebook
65	aycignl/pure Uncertainty-aware Personal Assistant for Making Personalized Privacy Decisions	11	Experimental	—	Jupyter Notebook
66	horacehoff/knowledge-quantify An experimental machine learning model to quantify knowledge density	11	Experimental	—	Python

Comparisons in this category

uncertainty-baselines and awesome-uncertainty-deeplearning (70 vs 50) uncertainty-baselines and equine (70 vs 46)