uncertainty
There are 407 repositories under uncertainty topic.
sktime/pytorch-forecasting
Time series forecasting with PyTorch
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
awslabs/fortuna
A Library for Uncertainty Quantification.
SALib/SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
mjskay/ggdist
Visualizations of distributions and uncertainty
aangelopoulos/conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
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.
aamini/evidential-deep-learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
dougbrion/pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
vita-epfl/monoloco
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
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
minwoo0611/MA-LIO
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
seasonSH/Probabilistic-Face-Embeddings
(ICCV 2019) Uncertainty-aware Face Representation and Recognition
ENSTA-U2IS-AI/torch-uncertainty
Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
hendrycks/ss-ood
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
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.
AdaCompNUS/despot
The DESPOT online POMDP solver
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).
SamsungLabs/pytorch-ensembles
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
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)
baegwangbin/surface_normal_uncertainty
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
baegwangbin/MaGNet
[CVPR 2022 Oral] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
pmorerio/dl-uncertainty
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
BayesWatch/deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
janosh/pymatviz
A toolkit for visualizations in materials informatics.
baegwangbin/IronDepth
[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
cvg/nerf-on-the-go
[CVPR'24] NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
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.
hutec/UncertaintyNN
Implementation and evaluation of different approaches to get uncertainty in neural networks
vvanirudh/deep-ensembles-uncertainty
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
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
Pilhyeon/WTAL-Uncertainty-Modeling
Official Pytorch Implementation of 'Weakly-supervised Temporal Action Localization by Uncertainty Modeling' (AAAI-21)
jonnymaserati/welleng
A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.
TorchUQ/torchuq
A library for uncertainty quantification based on PyTorch