uncertainty

Here are 311 public repositories matching this topic...

jdb78 / pytorch-forecasting

Time series forecasting with PyTorch

python data-science machine-learning ai timeseries deep-learning gpu pandas pytorch uncertainty neural-networks forecasting temporal artifical-intelligense timeseries-forecasting pytorch-lightning

Updated Mar 13, 2023
Python

JavierAntoran / Bayesian-Neural-Networks

Star

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 May 1, 2020
Jupyter Notebook

uncertainty-toolbox / uncertainty-toolbox

Star

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

visualization metrics scoring-rules toolbox uncertainty calibration visualizations uncertainty-quantification uncertainty-estimation bayesian-neural-networks bayesian-deep-learning sharpness predictive-uncertainty recalibration uncertainty-calibration uncertainty-metrics uncertainty-toolbox

Updated Jan 18, 2023
Python

valeman / awesome-conformal-prediction

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A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

python machine-learning awesome r probability uncertainty datascience probability-distribution awesome-list machinelearning deeplearning probability-distributions uncertainty-quantification uncertainty-estimation conformal-prediction

Updated Mar 18, 2023

SALib / SALib

Star

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

python numpy uncertainty uncertainty-quantification sensitivity-analysis morris sensitivity-analysis-library sobol global-sensitivity-analysis salib joss

Updated Mar 19, 2023
Python

mjskay / ggdist

Star

Visualizations of distributions and uncertainty

visualization ggplot2 r uncertainty r-package uncertainty-visualization

Updated Mar 9, 2023
R

awslabs / fortuna

Star

A Library for Uncertainty Quantification.

machine-learning ai deep-learning ml uncertainty calibration neural-networks flax bayesian-inference model-calibration uncertainty-quantification uncertainty-estimation conformal-prediction jax uncertainty-calibration

Updated Mar 20, 2023
Python

vita-epfl / monoloco

Star

A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.

machine-learning computer-vision deep-learning pytorch uncertainty object-detection human-pose-estimation kitti-dataset pose-estimation 3d-vision 3d-deep-learning 3d-detection 3d-object-detection iccv2019 pifpaf covid-19 openpifpaf icra2021

Updated May 24, 2022
Python

aangelopoulos / conformal-prediction

Star

Lightweight, useful implementation of conformal prediction on real data.

natural-language-processing computer-vision time-series uncertainty uncertainty-quantification uncertainty-estimation conformal time-series-prediction conformal-prediction distribution-shift conformal-inference

Updated Mar 9, 2023
Jupyter Notebook

aamini / evidential-deep-learning

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Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

deep-learning neural-network tensorflow pytorch uncertainty evidence confidence neurips-2020

Updated Aug 31, 2021
Python

seasonSH / Probabilistic-Face-Embeddings

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(ICCV 2019) Uncertainty-aware Face Representation and Recognition

deep-neural-networks deep-learning tensorflow uncertainty face-recognition

Updated Aug 8, 2019
Python

dougbrion / pytorch-classification-uncertainty

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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 Dec 27, 2022
Python

hendrycks / ss-ood

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Self-Supervised Learning for OOD Detection (NeurIPS 2019)

uncertainty robustness self-supervised self-supervised-learning out-of-distribution-detection ml-safety

Updated Apr 29, 2021
Python

IBM / UQ360

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Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

machine-learning metrics artificial-intelligence uncertainty calibration uncertainty-quantification trusted-ai bayesianneuralnetwork uncertainty-estimates

Updated Nov 4, 2022
Python

SamsungLabs / pytorch-ensembles

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Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

deep-learning pytorch uncertainty ensembles iclr2020

Updated Dec 23, 2022
Jupyter Notebook

AdaCompNUS / despot

Star

The DESPOT online POMDP solver

online uncertainty planning pomdp despot

Updated Aug 17, 2022
C++

nayeemrizve / ups

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"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)

pytorch uncertainty calibration semi-supervised-learning pseudo-labeling

Updated Mar 14, 2023
Python

pmorerio / dl-uncertainty

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"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

computer-vision deep-learning uncertainty bayesian

Updated Dec 19, 2019
Python

BayesWatch / deep-kernel-transfer

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Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

kernel deep-learning paper regression uncertainty bayesian-methods classification kernel-methods one-shot-learning uncertainty-quantification gaussian-processes kernels meta-learning shot-learning deep-kernel-learning few-shot-learning gpytorch

Updated Jan 19, 2022
Python

AntonioFalcaoJr / EventualShop

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A state-of-the-art distributed system using Reactive DDD as uncertainty modeling, Event Storming as subdomain decomposition, Event Sourcing as an eventual persistence mechanism, CQRS, Async Projections, Microservices for individual deployable units, Event-driven Architecture for efficient integration, and Clean Architecture as domain-centric design

Updated Mar 16, 2023
C#

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