All image quality metrics you need in one package.

Code and information for face image quality assessment with SER-FIQ

IQA: Deep Image Structure and Texture Similarity Metric

A command line tool for diffing json rest APIs

[unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessment

Rust-based static analysis for TypeScript projects

[unofficial] PyTorch Implementation of image quality assessment methods: IQA-CNN in ICIP2015 and IQA-CNN in CVPR2014

RadQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) and computed tomography (CT) data.

C Quality Metrics

Quality metrics

Pixel-Level Face Image Quality Assessment for Explainable Face Recognition

Software quality monitoring for teams and projects

Codehawk is a static analysis tool for JavaScript projects.

A Quality Control (QC) pipeline for Proteomics (PTX) results generated by MaxQuant

Quality Metrics for face identification problem

This repo compiles various blind image quality acessment methods focused on contrast evaluation. Only code that works in Python or Octave.

Oxygen is a Robot Framework tool that empowers the user to convert the results of any testing tool or framework to Robot Framework's reporting to consolidate all test reporting together regardless of tools used.

err0 empowers all software teams to use Error Codes

An (optimized) implementation of the music DR measurement (compliant with http://dr.loudness-war.info/), it supports CUE sheets and is faster than all currently available alternatives (at the time of writing, not sure about now)

Continuous quality evaluation of ML algorithms via CI/CD and GitHub Actions.