High-quality implementations of standard and SOTA methods on a variety of tasks.
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
翻译 - 用于预测不确定性量化,校准,指标和可视化的python工具箱
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Uncertainty treatment library
Implementation and evaluation of different approaches to get uncertainty in neural networks
Introduction to Uncertainty Quantification
IJCAI2020 & IJCV2021 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
A collection of research and application papers of (uncertainty) calibration techniques.
A Library for Uncertainty Quantification.
Uncertainty in Medical Image Analysis
Code for Prediction and Planning Under Uncertainty (PPUU)
Probability - The Science of Uncertainty and Data
[2020-CVPR]Data Uncertainty Learning in Face Recognition
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
Probability - The Science of Uncertainty and Data
Kaggle M5 Forecasting - Uncertainty 4th Place Solution
NPI Ephemeris Propagation Tool with Uncertainty Extrapolation