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Mathematics Roadmap is a GitHub repository or organization with source code, releases, documentation, or project resources.
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matlib is a Clojure library of optimisation and control theory tools and convenience functions based on the Neanderthal linear algebra library. It is available as a public repository on GitHub.
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MobiLlama is a small language model tailored for edge devices. It was selected as a spotlight presentation at the ICLR 2025 SLLM Workshop, and its code is hosted on GitHub.
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Mem0 is a drop-in memory infrastructure tool for AI agents and applications. It provides persistent context for AI systems, is built for production use, and is available as a public repository on GitHub.
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Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
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Mesh TensorFlow is a tool designed to simplify model parallelism for distributed computation, hosted as a GitHub repository under the TensorFlow organization. The repository includes an introduction, guidance on use cases, and a getting started guide.
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Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
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microMathematics Plus is an open-source Android scientific graphing calculator and function plotter oriented around worksheets. It enables users to perform mathematical calculations in naturally readable form, create interactive formula collections, edit mathematical identities live with high accuracy, and store documents containing formulas, plots, text and images. The app includes no ads, trackers or telemetry, supports common mathematical operations and SI and non-SI units, and works on smartphones and tablets in portrait and landscape modes.
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JARVIS, a system to connect LLMs with ML community.
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General technology for enabling AI capabilities w/ LLMs and MLLMs.
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Repository containing the source code of the Python package loralib and examples of integrating it with PyTorch models, such as those in Hugging Face. LoRA learns pairs of rank-decomposition matrices while freezing the original weights, reducing the number of trainable parameters. PyTorch is the only supported framework for now.
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Model-agnostic SDK for building, orchestrating and deploying AI agents and multi-agent systems, with built-in support for OpenAI, Azure OpenAI, Hugging Face and Nvidia. It offers tools/plugins, memory, planning, vector database integrations and a process framework. Microsoft states that Semantic Kernel is now Microsoft Agent Framework.
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TinyTroupe is an experimental Python library for simulating people with defined personalities, interests and goals. These agents, called TinyPersons, interact in simulated TinyWorld environments using large language models. The project targets imagination enhancement and business insights, with suggested uses such as evaluating digital ads offline, generating synthetic data and simulating focus groups.
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MiniAGI is a simple autonomous agent compatible with GPT-3.5-Turbo and GPT-4. It combines a prompt with a minimal set of tools, chain-of-thoughts and short-term memory with summarization, and is capable of inner monologue and self-criticism. A critic can be enabled for additional API requests.
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Mirascope is a project labeled the LLM Anti-Framework that provides one unified interface for using frontier LLMs. Its examples show calling LLMs with a decorator, getting structured output via Pydantic models, and building an agent with tools. It is organized as a monorepo with Python and TypeScript implementations plus documentation.
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MITIE is a set of tools for information extraction built on dlib. It provides named entity extraction and binary relation detection, along with tools for training custom extractors and relation detectors. Pre-trained models support English, Spanish and German. The core is written in C++, with bindings for Python, R, Java, C and MATLAB.
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A Julia package for fitting (statistical) mixed-effects models.
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MLEM is an open source tool designed to package, serve, and deploy machine learning models on any platform. The project's primary repository is currently archived, with maintainers noting plans to resurrect it in the future.
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No need to keep checking your training, just one import line and you'll know the second it's done.
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MLPNeuralNet is a multilayer perceptron neural network library for iOS and Mac OS X. It predicts new examples through trained neural networks and is built on Apple's Accelerate Framework using vectored operations and hardware acceleration where available. It is designed to load and run models in forward propagation mode only, and supports classification, multi-class classification, and regression output.
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MLReef is an open source ML-Ops platform for collaborating, reproducing and sharing machine learning work. The repository notes it is no longer supported or updated there, with work continuing on GitLab. Described sections include data management with versioned data hosting, containerized code repositories, experiment tracking and ML pipelines on Kubernetes, cloud or bare metal.
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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.
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MLX is an array framework developed for use on Apple silicon hardware. The project includes example code, quickstart guides, installation instructions, and contribution guidelines. It is hosted as an open source repository on GitHub.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.