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Directory
AI & Machine Learning
AI and Machine Learning covers the tools, models, and services built around machine learning. Models and machine learning holds model hubs, playgrounds, and training resources. AI image generation collects text-to-image tools, editors, and prompt libraries, while audio and speech covers transcription, voice, and music generation. AI coding and development lists assistants, code review tools, and developer utilities, and AI agents and automation brings together workflow builders and task tools. AI data and analytics holds platforms for labelling, monitoring, and evaluating models. Many listings are open source projects rather than hosted services, so check what you get and what it costs before you depend on one. We do not independently test each tool, and a Shout shows member support rather than a quality score. Imported listings do not start with an assigned owner or price.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
DoaCam provides conversational AI for questions, tasks, and general assistance.
Creates or edits images with generative models and visual controls.
Ready to use deeplearning docker images.
DocketAI — built on Replit. Update this description to reflect the app.
Ellipsis runs coding agents in cloud sandboxes and reviews every pull request. Agents are YAML files in your repository.
Docs provides machine-learning models, research, training resources, or evaluation tools.
Documind.chat provides conversational AI for questions, tasks, and general assistance.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.
SQL database that you can fork, clone, branch, merge, push and pull just like a git repository.
Free AI domain generator with availability check and price comparison.
Domino provides AI-assisted learning, courses, tutorials, or study support.
Dominodatalab supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Tools for exploratory data analysis in Python.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Shared knowledge makes agents faster and more reliable.
Dot applies AI to data analysis, extraction, visualization, or business intelligence.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A fast, consistent tool for working with data frame like objects, both in memory and out of memory.