Artificial Intelligence

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

FirstMark’s 2025 MAD Landscape maps companies and products across machine learning, artificial intelligence, and data.

The AutoGPT project provides tools for people to use and develop artificial intelligence applications.

This article examines AI’s role in software test automation and its broader industry adoption.

This repository curates projects and services related to generative artificial intelligence.

Microsoft Recommenders collects best practices for recommendation systems.

Swarms provides an enterprise oriented framework for coordinating multiple AI agents.

Feathr provides enterprises with a platform for data engineering and AI workflows.

A timeline of the latest AI models for audio generation, starting in 2023.

A curated collection gathers learning resources for generative AI, machine learning, LLMs, RAG, and related topics.

Neural Newsletters helps users create and publish newsletters tailored to audience preferences.

PyTorch Lightning supports pretraining and fine tuning AI models across GPU setups.

Painnt applies neural-network image effects to photos and provides photo editing for iOS and macOS.

Stackwise collects open-source AI applications and invites community contributions to its project.

Openjourney is an open-source Stable Diffusion model for generating images from prompts.

Radicalbit AI Monitoring provides a solution for monitoring machine learning models in production.

This article introduces Matryoshka embedding models and provides an educational overview.

AI for Beginners is a Microsoft course organized as 24 lessons across 12 weeks.

HyperWrite supports writing, research, speeches, rewriting, and autocomplete in an AI document editor.

SuperAGI provides tools for developers to build, manage, and run autonomous AI agent systems.

Scikit-Opt provides genetic algorithms, particle swarm optimization, simulated annealing, ant colony optimization, and other search algorithms.

PyCM provides a Python library for working with multiclass confusion matrices.

GeneticSharp provides C# tools for developing applications that use genetic algorithms.

AI Weekly ranks and explains AI news, including developments in models, agents, funding, policy, and research.