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Published directory entries matching your search.
Miro is an AI-powered visual innovation workspace designed to speed up product development from ideation to launch. It helps align teams, break down tool silos, and deliver customer-needed products, with features including an intelligent canvas, AI workflows, connectors, and an MCP server, supporting use cases such as research, roadmap planning, diagramming, and workshops.
ML Resources supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ml5.js is a JavaScript library providing access to machine learning algorithms and models in the browser, building on TensorFlow.js. It aims to make machine learning approachable for artists, creative coders and students, and is supported by code examples, tutorials and sample data sets. The project is described as currently in development.
MLBase (MLBase.jl) is a Julia package hosted in the JuliaStats/MLBase.jl GitHub repository, providing a collection of functions to support the development of machine learning algorithms. It includes accompanying resources and documentation for package users.
MLKit is a simple machine learning framework written in Swift. Currently it features algorithms dealing with regression, with planned expansion to classification, clustering, recommender systems and deep learning. The project is under active development and is not ready for use in commercial or personal projects, and can be installed via CocoaPods as MachineLearningKit.
MLRun is an open source MLOps platform for building and managing continuous machine learning applications across their lifecycle. It integrates with development and CI/CD environments to automate the delivery of production data, ML pipelines, and online applications.
mlsysbook supports machine learning models, deployment, inspection, datasets, or AI development workflows.
An open standard for connecting AI models to external tools and data sources. MCP Registry opensource.
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope Finetuning supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Moonshot AI is a GitHub organization focused on AI and machine learning research and development. As of the listing snapshot, it hosts 42 public repositories, with areas of work including research, benchmarks, agents, service infrastructure, and community engagement, and its code is available on GitHub.
Nanocoder is an open-source coding agent built for terminal use by a community collective rather than a corporate entity. It allows users to bring their own AI model, stores code locally on the user's machine, and does not require users to owe fees or obligations to a company. It is hosted as a public repository on GitHub.
Nexus AI is an all-in-one AI platform for writing, research, content creation, planning, and coding. It enables users to generate documents, presentations, images, videos, and code. It offers tools including a chatbot, creative studio, and notes, and is accessible across desktop, mobile, and browser platforms. It is developed by Verbosec.
An NLP toolbox for Matlab under development by researchers at UC Berkeley's AMPLab, intended to process natural language within Matlab rather than switching to other languages. It includes modules for text tokenization, text preprocessing such as stop word removal and stemming, and learning algorithms including linear regression, decision trees, support vector machines and a Naive Bayes classifier.
An open solution to the Data Science Bowl 2018, based on the topcoders winning solution from ods.ai. The repository was archived by the owner on Jun 22, 2022 and is now read-only. It uses PyTorch and references neptune.ml, though running it as a plain Python script is possible.
An archived, read-only GitHub repository holding an open solution to the Google AI Open Images Object Detection Track. It offers starter code, configs and notebooks, with RetinaNet training and references to the Neptune experiment platform; Neptune use is optional and the code can run as a plain Python script. The README notes the competition used Open Images Dataset V4.
OpenClaw is an open-source AI assistant that runs on the user's machine and works from WhatsApp, Telegram or other chat apps. According to the site, it organizes inboxes, sends emails, manages calendars and checks users in for flights. Desktop apps are listed for macOS, Windows and Linux, and an enterprise platform is in development ahead of a 1.0 release.
The AI coding agent built for the terminal.
Welcome to OpenHands, a community focused on AI-driven development.
OpenHands is an open-source project focused on AI-driven development. Hosted on GitHub as the OpenHands/OpenHands repository, its documentation includes an agent canvas, quickstart guides for sandboxed environments, and installation instructions.
OpenML supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Kilo - Open-source AI coding assistant for VS Code, JetBrains, and the CLI.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.
OrangeBot.AI is a curated directory referenced by AI when builders seek tool recommendations. It tracks over 2,000 Claude Code skills, offers free in-browser development tools, and publishes a daily brief covering updates from Hacker News, GitHub Trending, Product Hunt, Hugging Face, Techmeme, and App Store rankings.
