Popular GitHub Repositories for Aesthetic Assessment

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

the LLM vulnerability scanner

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

A Python package to assess and improve fairness of machine learning models.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

Measures and metrics for image2image tasks. PyTorch.

Quark Agent - Your AI-powered Android APK Analyst

A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision

A comprehensive collection of IQA papers

FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.

NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

全新的高颜值/高性能的AI模型接口管理与分发系统，仅供个人学习使用，请勿用于任何商业用途，本项目基于NewAPI开发。A brand new high aesthetic/high-performance AI model interface management and distribution system is only for personal or internal management and distribution channels of enterprises. Please do not use it for commercial purposes.

Personalization for Stable Diffusion via Aesthetic Gradients ?

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

MagFace: A Universal Representation for Face Recognition and Quality Assessment, CVPR2021, Oral

Artemis - Interactive Learning with Automated Feedback

A PyTorch Implementation of Neural IMage Assessment

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

Deliver safe & effective language models