uncertainty

There are 9 repositories under uncertainty topic.

jdb78 / pytorch-forecasting
Time series forecasting with PyTorch
pytorch forecasting gpu uncertainty timeseries-forecasting pytorch-lightning deep-learning neural-networks timeseries machine-learning pandas python ai artifical-intelligense data-science temporal
Language:Python 3590
valeman / awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
conformal-prediction python r machinelearning datascience deeplearning awesome awesome-list probability uncertainty-quantification uncertainty uncertainty-estimation probability-distribution probability-distributions machine-learning
3365
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 bayesian-inference pytorch reproducible-research bayesian-neural-networks bayes-by-backprop mc-dropout mcmc variational-inference kronecker-factored-approximation langevin-dynamics approximate-inference local-reparametrization-trick uncertainty uncertainty-neural-networks out-of-distribution-detection classification regression sgld hmc
Language:Jupyter Notebook 1741
uncertainty-toolbox
uncertainty-toolbox / uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
uncertainty uncertainty-quantification uncertainty-estimation uncertainty-metrics calibration sharpness uncertainty-toolbox metrics visualizations visualization recalibration predictive-uncertainty scoring-rules uncertainty-calibration toolbox bayesian-neural-networks bayesian-deep-learning
Language:Python 1715
fortuna
awslabs / fortuna
A Library for Uncertainty Quantification.
ai bayesian-inference calibration conformal-prediction deep-learning flax jax machine-learning ml model-calibration neural-networks uncertainty uncertainty-calibration uncertainty-estimation uncertainty-quantification
Language:Python 849
SALib / SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
sensitivity-analysis-library sensitivity-analysis sobol morris python global-sensitivity-analysis numpy salib joss uncertainty uncertainty-quantification
Language:Python 820
ggdist
mjskay / ggdist
Visualizations of distributions and uncertainty
r r-package ggplot2 visualization uncertainty uncertainty-visualization
Language:R 780
aangelopoulos / conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
computer-vision conformal conformal-prediction distribution-shift natural-language-processing time-series time-series-prediction uncertainty uncertainty-estimation uncertainty-quantification conformal-inference
Language:Jupyter Notebook 636
vita-epfl / monoloco
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
3d-object-detection 3d-detection 3d-deep-learning pytorch computer-vision deep-learning machine-learning pose-estimation human-pose-estimation uncertainty 3d-vision object-detection iccv2019 pifpaf openpifpaf kitti-dataset icra2021 covid-19
Language:Python 413
evidential-deep-learning
aamini / evidential-deep-learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
neural-network deep-learning uncertainty confidence evidence tensorflow pytorch neurips-2020
Language:Python 399
dougbrion / pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
paper pytorch evidential-deep-learning uncertainty-neural-networks classification mnist mnist-classification dirichlet-distributions uncertainty torchvision
Language:Python 382
seasonSH / Probabilistic-Face-Embeddings
(ICCV 2019) Uncertainty-aware Face Representation and Recognition
deep-learning deep-neural-networks face-recognition tensorflow uncertainty
Language:Python 334
EventualShop
AntonioFalcaoJr / EventualShop
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
cqrs ddd clean-architecture event-sourcing event-driven eda domain-driven-design architecture event-store eventsourcing eventstore dotnet dotnet6 masstransit dotnet7 ddd-architecture microservices reactive reactive-programming uncertainty
Language:C# 317
MinghuiChen43 / awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
adversarial-machine-learning ai-alignment backdoor causality deep-learning fairness gradient-leakage green-ai hallucinations interpretable-deep-learning machine-unlearning membership-inference-attack out-of-distribution-generalization ownership poisoning privacy robustness security uncertainty watermarking
278
hendrycks / ss-ood
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
robustness out-of-distribution-detection uncertainty self-supervised-learning self-supervised ml-safety
Language:Python 263
minwoo0611 / MA-LIO
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
asynchronous lidar lio slam uncertainty multi-lidars slam-dataset dataset
Language:C++ 252
IBM / UQ360
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
uncertainty-quantification metrics uncertainty-estimates machine-learning artificial-intelligence trusted-ai uncertainty bayesianneuralnetwork calibration
Language:Python 249
SamsungLabs / pytorch-ensembles
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
ensembles pytorch iclr2020 uncertainty deep-learning
Language:Jupyter Notebook 233
AdaCompNUS / despot
The DESPOT online POMDP solver
despot pomdp planning uncertainty online
Language:C++ 223
nayeemrizve / ups
"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)
calibration pseudo-labeling pytorch semi-supervised-learning uncertainty
Language:Python 223
aangelopoulos / conformal_classification
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
prediction-sets conformal-prediction conformal machine-learning distribution-free nonparametric nonparametric-statistics classification imagenet artificial-intelligence neural-networks pytorch deep-neural-networks statistics computer-vision vision classifier uncertainty uncertainty-quantification
Language:Jupyter Notebook 210
baegwangbin / surface_normal_uncertainty
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
3d-reconstruction computer-vision deep-learning surface-normal surface-normals surface-normals-estimation uncertainty uncertainty-estimation iccv2021
Language:Python 206
pmorerio / dl-uncertainty
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
deep-learning bayesian uncertainty computer-vision
Language:Python 203
baegwangbin / MaGNet
[CVPR 2022 Oral] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
3d-reconstruction computer-vision cvpr2022 deep-learning depth-estimation multi-view-stereo multiview-geometry multiview-stereo uncertainty uncertainty-estimation
Language:Python 195
BayesWatch / deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
gaussian-processes few-shot-learning bayesian-methods deep-learning deep-kernel-learning one-shot-learning kernel-methods classification regression gpytorch kernel shot-learning uncertainty-quantification uncertainty paper meta-learning kernels
Language:Python 191
ENSTA-U2IS-AI / torch-uncertainty
Open-source uncertainty for deep learning models in PyTorch :seedling:
ensembles uncertainty-quantification predictive-uncertainty uncertainty reliable-ai pytorch bayesian-network neural-networks trustworthy-machine-learning mixup
Language:Python 176
baegwangbin / IronDepth
[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
3d-reconstruction bmvc2022 computer-vision deep-learning depth-estimation monocular-depth-estimation surface-normal surface-normals uncertainty
Language:Python 162
hutec / UncertaintyNN
Implementation and evaluation of different approaches to get uncertainty in neural networks
uncertainty machine-learning bayesian-network
Language:Jupyter Notebook 137
vvanirudh / deep-ensembles-uncertainty
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
tensorflow deep-learning uncertainty uncertainty-neural-networks
Language:Python 133
Pilhyeon / WTAL-Uncertainty-Modeling
Official Pytorch Implementation of 'Weakly-supervised Temporal Action Localization by Uncertainty Modeling' (AAAI-21)
temporal-action-localization weakly-supervised-learning background-modeling deep-learning pytorch uncertainty
Language:Python 123
pymatviz
janosh / pymatviz
A toolkit for visualizations in materials informatics.
data-visualization machine-learning materials-informatics materials-science matplotlib plotly plots python uncertainty uncertainty-calibration
Language:Python 118
TorchUQ / torchuq
A library for uncertainty quantification based on PyTorch
pytorch deep-learning uncertainty uncertainty-quantification
Language:Jupyter Notebook 116
Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
reinforcement-learning pytorch pytorch-implementation gpytorch gaussian-processes model-predictive-control model-based-reinforcement-learning paper control-animation uncertainty
Language:Python 113
langnico / global-canopy-height-model
This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.
canopy-height-models deep-learning ensemble gedi sentinel-2 uncertainty
Language:Python 109
jonnymaserati / welleng
A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.
survey survey-listings wbp survey-stations wellbore drilling drilling-engineering well-design well-engineering engineering directional-drilling error-model uncertainty
Language:Python 106
tjiiv-cprg / MonoRUn
[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
pytorch 3d-object-detection cvpr monocular uncertainty detection reconstruction
Language:Python 106

uncertainty

jdb78 / pytorch-forecasting

valeman / awesome-conformal-prediction

JavierAntoran / Bayesian-Neural-Networks

uncertainty-toolbox / uncertainty-toolbox

awslabs / fortuna

SALib / SALib

mjskay / ggdist

aangelopoulos / conformal-prediction

vita-epfl / monoloco

aamini / evidential-deep-learning

dougbrion / pytorch-classification-uncertainty

seasonSH / Probabilistic-Face-Embeddings

AntonioFalcaoJr / EventualShop

MinghuiChen43 / awesome-trustworthy-deep-learning

hendrycks / ss-ood

minwoo0611 / MA-LIO

IBM / UQ360

SamsungLabs / pytorch-ensembles

AdaCompNUS / despot

nayeemrizve / ups

aangelopoulos / conformal_classification

baegwangbin / surface_normal_uncertainty

pmorerio / dl-uncertainty

baegwangbin / MaGNet

BayesWatch / deep-kernel-transfer

ENSTA-U2IS-AI / torch-uncertainty

baegwangbin / IronDepth

hutec / UncertaintyNN

vvanirudh / deep-ensembles-uncertainty

Pilhyeon / WTAL-Uncertainty-Modeling

janosh / pymatviz

TorchUQ / torchuq

SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

langnico / global-canopy-height-model

jonnymaserati / welleng

tjiiv-cprg / MonoRUn