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manifest.build
manifest.build is an open source LLM router for AI agents and related tools. It connects AI agents and harnesses to any provider in seconds, supporting subscription, pay-per-token, local model and custom provider options. The tool offers features including model fallbacks, full request logging, autofix for broken provider calls, an LLM gateway for centralized provider management, and observability tools for tracking usage, reliability and costs. The software is open source, allowing users to self-host it or contribute to its development.
mastra.ai
Mastra is a TypeScript AI framework for building agents and AI applications. It includes built-in memory, tool support, MCP compatibility, and observability features to support development from prototype to production. The framework also offers workflow tools, agent factory functionality, cloud deployment servers, and an agent builder for evaluation and iteration.
hairysun.com
Matt Harrison is a personal blog authored by Matt Harrison. The blog covers topics including Amazon book piracy, the Effective Pandas book, Python and data science courses, and general software development content.
melies.co
Melies is an AI studio for filmmaking that generates images, videos, movie posters, voices, music and sound effects. It offers 30+ AI models and a library of 150+ AI actors. A CLI is available for image, video and movie poster generation from the command line. Plans include monthly credits.
metabob.com
Metabob is a real-time, intelligent code analysis engine that runs in parallel with generative AI coding tools.
metorial.com
Metorial is an agentic infrastructure platform for AI-native companies. It provides a single unified platform for employees, AI agents, and AI clients to connect tools and skills, with built-in governance, access control, and tracing capabilities. The platform supports development of customer-facing agents, internal assistants, and scalable AI workforces.
kyamagu.github.io
mexopencv is a collection and development kit of MATLAB MEX functions for the OpenCV library. It provides MATLAB MEX functions interfacing a hundred OpenCV APIs and includes a C++ class converting between MATLAB and OpenCV data types. The package is intended for fast prototyping of OpenCV applications in MATLAB and for developing custom MEX functions.
platform.minimax.io
Overview of MiniMax AI models and their capabilities.
ml-resources.vercel.app
ML Resources supports machine learning models, deployment, inspection, datasets, or AI development workflows.
github.com
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.
github.com
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.
github.com
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.
github.com
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.
modelcontextprotocol.io
An open standard for connecting AI models to external tools and data sources. MCP Registry opensource.
modelscope.ai
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.
modelscope.ai
ModelScope Finetuning supports machine learning models, deployment, inspection, datasets, or AI development workflows.
github.com
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.
github.com
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.
mynexusai.com
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.
amplab.cs.berkeley.edu
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.
github.com
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.
github.com
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.ai
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.