Simple and efficient way of performing deep ensembling to improve robustness as well as estimate uncertainty
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Sep 12, 2023 - Python 10000
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uncertainty-neural-networks
Here are 62 public repositories matching this topic...
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR2021).
computer-vision deep-learning tensorflow torch uncertainty-neural-networks uncertainty-quantification uncertainty-estimation out-of-distribution-detection
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Jun 22, 2021 - Python
Wasserstein dropout (W-dropout) is a novel technique to quantify uncertainty in regression networks. It is fully non-parametric and yields accurate uncertainty estimates - even under data shifts.
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Aug 17, 2022 - Python
đź“Š Explore Bayesian statistics and econometrics with training materials designed for quantitative analysts and grad students in machine learning.
tutorial simple reproducible-research optimization jupyter-notebook pymc mathematical-analysis image-recognition bayesian uncertainty-neural-networks gaussian-processes variational-inference bayesian-data-analysis bayesian-statistics bayesian-neural-networks bayesian-deep-learning mc-dropout bayes-by-backprop
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Dec 25, 2025 - Jupyter Notebook
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Sep 5, 2020 - Jupyter Notebook
🛠️ Extend native JavaScript prototypes with the extend-core library, adding useful utility methods for Arrays, Dates, Strings, and more in TypeScript.
formatter laravel deep-learning csharp nuget peer operating-system data-structures transformer uncertainty-neural-networks bayesian-inference hyperledger-fabric uncertainty-estimation hacktoberfest recurring-jobs bayesian-neural-networks bayesian-layers klipper-module
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Dec 25, 2025 - TypeScript
This repository contains my personal course notes and coding practices for Harvard's "CS50 Introduction to Artificial Intelligence with Python" course.
python ai neural-network artificial-intelligence edx-course learning-algorithm uncertainty-neural-networks search-algorithm cs50 harvard harvardx edx-cs50 harvardcs50
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Sep 5, 2024 - Python
A repo for toy examples to test uncertainties estimation of neural networks
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May 28, 2021 - Jupyter Notebook
[MIPR 2024 Invited] Code for the paper: Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
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Jun 1, 2024 - Python
Probabilistic framework for solving Visual Dialog
diversity vae uncertainty-neural-networks uncertainty-analysis diversity-measurement visual-dialog visual-question-answering uncertainty-visualisation visual-questions-generation vae-implementation
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Sep 12, 2019
Introducing a novel lightweight, post-hoc, single-pass, model-agnostic uncertainty quantification model for pretrained deep neural networks, designed for efficiency, scalability, and compatibility.
deep-learning calibration uncertainty-neural-networks pretrained-models uncertainty-quantification post-hoc out-of-distribution-detection model-agnostic
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Jul 2, 2025 - Python
This repository contains code and resources for my thesis project on uncertainty estimation in computed tomography (CT) scan modeling. Explore Bayesian and deterministic neural network architectures for CT analysis and compare their effectiveness in quantifying uncertainty.
python machine-learning deep-neural-networks deep-learning uncertainty-neural-networks bayesian-neural-networks deterministic-networks
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May 22, 2024 - Jupyter Notebook
Detecting Negation and Uncertainty using various methods
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May 28, 2024 - Jupyter Notebook
A neural-network based image classifier that quantifies its uncertainty using Bayesian methods, as described in Kendall and Gal (2017)
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Oct 29, 2019 - Python
Behaviour Cloning of Cartpole Swing-up Policy with Model-Predictive Uncertainty Regularization (UW CSE571 Guided Project)
computer-vision deep-learning cartpole uncertainty-neural-networks behavioral-cloning uncertainty-estimation model-based-rl
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Jul 6, 2023 - Python
A validation study for the application of quantile regression neural networks to Bayesian remote sensing retrievals
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Jul 27, 2018 - Jupyter Notebook
An implementation of natural parameter networks and its extension to GRUs in PyTorch
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May 9, 2018 - Python
Uncertainty quantification fo ML - collection of scripts, tutorials and templates
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Jul 16, 2023 - Jupyter Notebook
RBF SVM based wrong prediction estimator in deep learning models employed for CPS data
deep-neural-networks deep-learning uncertainty uncertainty-neural-networks uncertainty-quantification cyber-physical-systems
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Aug 4, 2022 - Jupyter Notebook
Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks
deep-learning cnn uncertainty-neural-networks semantic-segmentation adversarial-machine-learning perturbation-analysis
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Jan 16, 2018 - Python
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