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uncertainty-neural-networks

Here are 56 public repositories matching this topic...

marinocom / NLP-Detection-of-Negation-and-Uncertainty-Project-24

Detecting Negation and Uncertainty using various methods

nlp deep-learning uncertainty-neural-networks negation nlp-machine-learning negation-cue-detection

Updated May 28, 2024
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GaMPEN

aritraghsh09 / GaMPEN

ML framework to estimate Bayesian posteriors of galaxy morphological parameters

deep-neural-networks pytorch astrophysics uncertainty-neural-networks galaxy-morphology spatial-transformer-networks

Updated May 27, 2024
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ENSTA-U2IS-AI / awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

machine-learning awesome deep-neural-networks deep-learning uncertainty-neural-networks uncertainty-quantification uncertainty-estimation uncertainty-analysis awesome-resources deep-learning-tutorials

Updated May 26, 2024

juanfierro94 / ct-scan-modeling-thesis-bayesian-deterministic

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

Updated May 22, 2024
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IntelLabs / bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

deep-neural-networks deep-learning pytorch uncertainty-neural-networks bayesian-inference uncertainty-quantification uncertainty-estimation bayesian-neural-networks bayesian-deep-learning stochastic-variational-inference bayesian-layers

Updated Feb 10, 2024
Python

nikitadurasov / masksembles

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

computer-vision deep-learning tensorflow paper torch uncertainty-neural-networks uncertainty-quantification uncertainty-estimation out-of-distribution-detection

Updated Feb 8, 2024
Python

signaloid / Signaloid-Demo-Sensors-BME680ConversionRoutines

Example Git repository that you can run on the signaloid.io uncertainty-tracking computation platform.

uncertainty uncertainty-neural-networks sensors uncertainty-quantification uncertainty-estimation uncertainty-propagation bosch-sensor uncertainty-tracking

Updated Jan 17, 2024
C

dougbrion / pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

paper pytorch uncertainty mnist classification mnist-classification uncertainty-neural-networks torchvision evidential-deep-learning dirichlet-distributions

Updated Jan 2, 2024
Python

MicheleUIT / Probabilistic-load-forecasting-with-Reservoir-Computing

Probabilistic load forecasting with Reservoir Computing

probabilistic-programming uncertainty-neural-networks reservoir-computing uncertainty-quantification probabilistic-forecasting

Updated Dec 30, 2023
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cognizant-ai-labs / rio-paper

Code and supporting materials for the ICLR 2020 RIO paper

neural-networks uncertainty-neural-networks uncertainty-quantification academic-paper iclr2020 academic-public-license

Updated Dec 10, 2023
Python

antonbaumann / MIMO-Unet

PyTorch implementation of Probabilistic MIMO U-Net

uncertainty-neural-networks uncertainty-quantification uncertainty-estimation uncertainty-analysis u-net deep-ensemble

Updated Nov 15, 2023
Python

konstantinos-p / Bayesian-Neural-Networks-Reading-List

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

deep-learning uncertainty uncertainty-neural-networks bayesian-inference mcmc variational-inference hmc bayesian-neural-networks langevin-dynamics approximate-inference local-reparametrization-trick kronecker-factored-approximation bayes-by-backprop sgld

Updated Nov 1, 2023

JavierAntoran / Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

deep-learning reproducible-research regression pytorch uncertainty classification uncertainty-neural-networks bayesian-inference mcmc variational-inference hmc bayesian-neural-networks langevin-dynamics approximate-inference local-reparametrization-trick kronecker-factored-approximation mc-dropout bayes-by-backprop out-of-distribution-detection sgld

Updated Oct 20, 2023
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cambridge-mlg / DUN

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

machine-learning deep-learning reproducible-research pytorch uncertainty neural-networks expectation-maximization uncertainty-neural-networks bayesian-inference uncertainty-quantification variational-inference bayesian-neural-networks robustness neural-architecture-search bayesian-deep-learning probabilistic-inference reproducible-paper probabilistic-neural-network learnt-depth network-depths

Updated Oct 3, 2023
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Vikr-182 / uap-bev

UAP-BEV: Uncertainty Aware Planning in Bird's Eye View Generated from Monocular Images (CASE 2023)

mpc uncertainty-neural-networks uncertainty-quantification non-parametric cem control-barrier-functions

Updated Oct 3, 2023

clabrugere / randomized-prior-net

Simple and efficient way of performing deep ensembling to improve robustness as well as estimate uncertainty

machine-learning deep-learning tensorflow uncertainty-neural-networks

Updated Sep 12, 2023
Python

microsoft / protein-uq

Benchmarking uncertainty quantification methods on proteins.

protein protein-sequences uncertainty-neural-networks uncertainty-quantification uncertainty-estimation active-learning protein-design protein-function-prediction protein-fitness-prediction

Updated Aug 4, 2023
Shell

gengshan-y / monodepth-uncertainty

Inferring distributions over depth from a single image, IROS 2019

deep-learning tensorflow uncertainty-neural-networks uncertainty-estimation monocular-depth

Updated Jul 21, 2023
Python

kyaiooiayk / Uncertainty-Quantification-for-Machine-Learning-Notes

Uncertainty quantification fo ML - collection of scripts, tutorials and templates

uncertainty-neural-networks uncertainty-quantification quantile-regress multi-quantile-regression

Updated Jul 16, 2023
Jupyter Notebook

KuoHaoZeng / cartpole_model_based_control

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

Updated Jul 6, 2023
Python

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