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 63 uncertainty quantification deep learning frameworks tracked. 1 score above 70 (verified tier). The highest-rated is EmuKit/emukit at 75/100 with 647 stars and 82,500 monthly downloads. 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...	75	Verified	647	Python
2	google/uncertainty-baselines High-quality implementations of standard and SOTA methods on a variety of tasks.	67	Established	1,568	Python
3	nielstron/quantulum3 Library for unit extraction - fork of quantulum for python3	65	Established	144	Python
4	IBM/UQ360 Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit...	58	Established	267	Python
5	aamini/evidential-deep-learning Learn fast, scalable, and calibrated measures of uncertainty using neural networks!	57	Established	513	Python
6	nikitadurasov/masksembles Official repository for the paper "Masksembles for Uncertainty Estimation"...	49	Emerging	103	Python
7	oracle/macest Model Agnostic Confidence Estimator (MACEST) - A Python library for...	47	Emerging	100	Jupyter Notebook
8	architdatar/ml_uncertainty Get prediction intervals, confidence intervals, and parameter uncertainties...	46	Emerging	19	Python
9	aangelopoulos/ppi_py A package for statistically rigorous scientific discovery using machine...	46	Emerging	279	Python
10	lightning-uq-box/lightning-uq-box Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with...	45	Emerging	215	Python
11	Novartis/UNIQUE A Python library for benchmarking uncertainty estimation and quantification...	44	Emerging	42	Python
12	mit-ll-responsible-ai/equine Establishing Quantified Uncertainty in Neural Networks	43	Emerging	15	Python
13	axelbrando/Mixture-Density-Networks-for-distribution-and-uncertainty-estimation A generic Mixture Density Networks (MDN) implementation for distribution and...	43	Emerging	356	Jupyter Notebook
14	ENSTA-U2IS-AI/awesome-uncertainty-deeplearning This repository contains a collection of surveys, datasets, papers, and...	43	Emerging	787	—
15	jacobgil/confidenceinterval The long missing library for python confidence intervals	41	Emerging	146	Python
16	borchero/natural-posterior-network Official Implementation of "Natural Posterior Network: Deep Bayesian...	35	Emerging	87	Python
17	ThalesGroup/scio Confidence scores for Neural Networks, made easy!	35	Emerging	22	Python
18	ai2es/miles-guess Machine learning models for estimating aleatoric and epistemic uncertainty...	35	Emerging	30	Jupyter Notebook
19	DeepWave-KAUST/FWI_Conditional-CNN_UQ-pub Official reproducible material for Conditional Image Prior for Uncertainty...	34	Emerging	3	Jupyter Notebook
20	awslabs/fortuna A Library for Uncertainty Quantification.	34	Emerging	921	Python
21	torchbayesian/torchbayesian PyTorch-native Bayesian neural networks for uncertainty quantification in...	33	Emerging	6	Python
22	cambridge-mlg/DUN Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)	32	Emerging	78	Jupyter Notebook
23	grtlr/uapca Uncertainty-aware principal component analysis.	32	Emerging	18	TypeScript
24	AICGijon/quantificationlib QuantificationLib is an open-source library for quantification learning.	32	Emerging	12	Python
25	hutec/UncertaintyNN Implementation and evaluation of different approaches to get uncertainty in...	31	Emerging	142	Jupyter Notebook
26	katiana22/GDM-PCE Source code of: "Manifold learning-based polynomial chaos expansions for...	30	Emerging	38	Jupyter Notebook
27	AI4PFAS/AI4PFAS Dataset and code for "Uncertainty-Informed Deep Transfer Learning of PFAS Toxicity"	30	Emerging	24	Jupyter Notebook
28	AlaaLab/deep-learning-uncertainty Literature survey, paper reviews, experimental setups and a collection of...	30	Emerging	640	Jupyter Notebook
29	cvlab-epfl/zigzag Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation...	30	Emerging	17	Jupyter Notebook
30	bmucsanyi/untangle Large-scale uncertainty benchmark in deep learning.	30	Emerging	64	Python
31	clabrugere/evidential-deeplearning Implementation of "Evidential Deep Learning to Quantify Classification...	29	Experimental	30	Python
32	pasteurlabs/unreasonable_effective_der Supplementary material to reproduce "The Unreasonable Effectiveness of Deep...	29	Experimental	30	Jupyter Notebook
33	TorchUQ/torchuq A library for uncertainty quantification based on PyTorch	28	Experimental	121	Jupyter Notebook
34	shoupzwu/UAE A Unified Deep Model of Learning from both Data and Queries for Cardinality...	26	Experimental	28	Python
35	ExplainableML/BayesCap (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in...	26	Experimental	50	Jupyter Notebook
36	TeaPearce/Censored_Quantile_Regression_NN NeurIPS paper 'Censored Quantile Regression Neural Networks for...	26	Experimental	11	Jupyter Notebook
37	tachella/unsure code related to "UNSURE: Unknown Noise level Stein's Unbiased Risk...	26	Experimental	13	Python
38	MolecularAI/uq4dd UQ4DD: Uncertainty Quantification for Drug Discovery	26	Experimental	17	Python
39	JBris/model-calibration-evaluation Evaluating model calibration methods for sensitivity analysis, uncertainty...	25	Experimental	15	Python
40	AI4Science-WestlakeU/le-pde-uq [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust...	24	Experimental	16	Jupyter Notebook
41	MunskyGroup/UQBio2023 3rd Annual Undergraduate Quantitative Biology (UQ-bio) Summer School	24	Experimental	14	Python
42	bezirganyan/DBF_uncertainty Original PyTorch implementation of AIStats 2025 paper: Multimodal Learning...	23	Experimental	10	Python
43	moloud1987/UncertaintyFuseNet-for-COVID-19-Classification Code implementation of 'UncertaintyFuseNet: Robust Uncertainty-aware...	21	Experimental	22	Jupyter Notebook
44	rizbicki/UQ4ML Repository for the book Machine Learning Learning Beyond Point Predictions:...	21	Experimental	33	Jupyter Notebook
45	zyh-uaiaaaa/Relative-Uncertainty-Learning Official implementation of our NeurIPS2021 paper: Relative Uncertainty...	20	Experimental	55	Python
46	jfc43/self-training-ensembles Propose a principled and practically effective framework for unsupervised...	20	Experimental	16	Python
47	cvlab-epfl/iter_unc Official code for "Enabling Uncertainty Estimation in Iterative Neural...	20	Experimental	19	Jupyter Notebook
48	orientino/dum-components Code for "Training, Architecture, and Prior for Deterministic Uncertainty...	20	Experimental	12	Python
49	fregu856/regression_uncertainty Official implementation of "How Reliable is Your Regression Model's...	20	Experimental	18	Python
50	kachelriess/deep-ensembles deep ensembles for uncertainty estimation	19	Experimental	—	Jupyter Notebook
51	avitase/mder Supplementary material to reproduce "Multivariate Deep Evidential Regression"	19	Experimental	21	Jupyter Notebook
52	activatedgeek/understanding-bayesian-classification On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification	19	Experimental	21	Jupyter Notebook
53	ishida-lab/irreducible [ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A...	17	Experimental	22	Python
54	OJules/Uncertainty-Quantification-for-Pediatric-Brain-Cancer-Prognosis This project investigates uncertainty quantification (UQ) methods for ...	15	Experimental	—	Jupyter Notebook
55	astro-informatics/QuantifAI PyTorch-based radio-interferometric imaging reconstruction package with...	14	Experimental	12	Jupyter Notebook
56	biggzlar/plausible-uncertainties Methods used in the paper "Plausible Uncertainties for Human Pose Regression".	14	Experimental	14	Python
57	ENSTA-U2IS-AI/uqt Uncertainty Tutorial website	14	Experimental	1	HTML
58	ShuaiGuo16/Data-driven-High-dimensional-UQ-Analysis Project source code and data for uncertainty quantification on combustion...	13	Experimental	10	MATLAB
59	alextimans/traffic4cast-uncertainty Code repository accompanying the research paper "Uncertainty Quantification...	12	Experimental	12	Jupyter Notebook
60	thecml/UE-BNNSurv Official TensorFlow implementation of Uncertainty Estimation in Deep...	12	Experimental	3	Jupyter Notebook
61	RyotaUshio/bayes-error-estimation [ICLR2026] Code for the paper "Practical estimation of the optimal...	11	Experimental	6	Python
62	OJules/Uncertainty-Quantification-Research Advanced uncertainty quantification methods and statistical analysis for...	11	Experimental	—	—
63	bcau-workshop/bcau2022 BCAU: Becoming Certain About Uncertainty	10	Experimental	1	JavaScript