Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Google and the open-source community.
This project develops a deep learning model for image classification, focusing on accuracy, uncertainty, and robustness. A custom CNN was built using the Adam optimizer and cross-entropy loss. Uncerta...
Bayesian method to determine the metric uncertainty for (binary) classifiers
ECCV2022: Visual Cross-View Metric Localization with Dense Uncertainty Estimates
Uncertainties in topographic metrics due to truncation errors and elevation uncertainty
Python package for Model Metric Uncertainty estimation
Source code of "A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs" (NeurIPS GLFrontiers Workshop 2022)
Calibration and uncertainty metrics used in the study of the applicability domain in federated multitask learning
📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!
Uncertainty quantification with PyTorch
#计算机科学#A Library for Uncertainty Quantification.
Introduction to Uncertainty Quantification
📈 Capturing JVM- and application-level metrics. So you know what's going on.
Uncertainty in Medical Image Analysis
Exporter for machine metrics
An open source project to document AI progress through data.
Chaospy - Toolbox for performing uncertainty quantification.
A thin façade around Coda Hale's metrics library.
General purpose metrics adapter for Kubernetes HPA metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Github organization OSS metrics collector and metrics dashboard
#计算机科学#High-quality implementations of standard and SOTA methods on a variety of tasks.
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.