Search Results for "hub"
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Showing 479 open source projects for "hub"
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MCP Hub
An MCP client for Neovim that seamlessly integrates MCP servers
mcphub.nvim is an MCP (Model Context Protocol) client plugin for Neovim that seamlessly integrates MCP servers into your editing workflow with an intuitive interface for managing, testing, and using MCP servers with your favorite chat plugins. Create your first MCP capable agent you need only 6 lines of code. Works with any langchain-supported LLM that supports tool calling (OpenAI, Anthropic, Groq, LLama etc.) Explore MCP capabilities and generate starter code with the interactive code... -
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Keras Hub
Pretrained model hub for Keras 3
Keras Hub is a repository of pre-trained models for Keras 3, offering a collection of ready-to-use models for various machine-learning tasks. KerasHub is an extension of the core Keras API; KerasHub components are provided as Layer and Model implementations. If you are familiar with Keras, congratulations. You already understand most of KerasHub. -
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llmx.txt hub
The largest directory for AI-ready documentation and tools
llms-txt-hub serves as a central directory and knowledge base for the emerging llms.txt convention, a simple, text-based way for project owners to communicate preferences to AI tools. It catalogs implementations across projects and platforms, helping maintain a shared understanding of how LLM-powered services should interact with code and documentation. -
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Artifact Hub
Find, install and publish Kubernetes packages
...The Artifact Hub attempts to solve that by providing a single experience for consumers that any CNCF project can leverage. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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LoLLMs Hub Fortress
A proxy server for multiple ollama instances with Key security
...The architecture is built around a hierarchical “master and slave” hub model, enabling distributed deployments where multiple machines or clusters can be managed through a single entry point. This design allows organizations to scale horizontally, combining local hardware, cloud resources, and specialized inference servers into a unified infrastructure. LoLLMs Hub also introduces intelligent routing mechanisms that automatically select the most appropriate model based on rules such as priority, load balancing, or availability, improving efficiency and reliability. -
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AI Engineering Hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications
...Projects range from OCR applications and local chatbot UIs to multimodal RAG systems and multi-agent automation pipelines, making the hub valuable both as a learning resource and as a practical reference. The repository provides in-depth notebooks, example code, and integration patterns that illustrate how to implement, adapt, and scale AI features in real applications. -
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Python Programming Hub
Learn Python and Machine Learning from scratch
Python Programming Hub repository by Tanu-N-Prabhu is an educational resource designed to help programmers learn Python programming and data science concepts through practical examples and notebooks. The project contains a wide range of tutorials and exercises that cover Python fundamentals, programming concepts, and applied techniques for data analysis and machine learning. -
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MATLAB Simulink Challenge Project Hub
Lst of research and design project ideas
This repository is a project idea hub maintained by MathWorks, containing a curated list of research or design project ideas for MATLAB and Simulink. The aim is to help students or educators find inspiration and guidance for projects aligning with industry trends or technical challenges. It includes encouragement of industry-relevant topics. As well as categorization by technology or domain. -
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Claude Code Skills & Plugins Hub
270+ Claude Code plugins with 739 agent skills
Claude Code Plugins Plus Skills is a large open-source ecosystem of plugins and AI “skills” designed to extend the capabilities of Claude Code development agents. The repository functions as a marketplace-style collection of hundreds of plugins and specialized skills that enable Claude Code to perform complex development, automation, and operational tasks. These plugins cover a wide range of domains including DevOps automation, security testing, API debugging, infrastructure management, and... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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huggingface_hub
The official Python client for the Huggingface Hub
The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the thousands of machine-learning apps hosted on the Hub. You can also create and share your own models, datasets, and demos with the community. The huggingface_hub library provides a simple way to do all these things with Python. -
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Unity Hub
Every creative journey starts with Unity Hub
With Unity Hub start new projects using powerful templates. You can manage all of your Unity Projects and Editor installations. With a new look, you can customize your workflow, share and collaborate with your team, and more! From the Unity Hub, create and link a Unity Version Control repository to new projects, compare file sources, and link repositories to existing local projects for rapid iteration and collaboration with your team. -
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YOLOv5
YOLOv5 is the world's most loved vision AI
...Explore the YOLOv8 Docs, a comprehensive resource designed to help you understand and utilize its features and capabilities. Whether you are a seasoned machine learning practitioner or new to the field, this hub aims to maximize YOLOv8's potential in your projects. -
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beszel
Lightweight server monitoring hub with historical data, docker stats
A lightweight server resource monitoring hub with historical data, docker stats, and alerts. -
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History LLMs
Information hub for our project training the largest possible LLMs
History LLMs serves as the central information hub for a research project focused on training large language models exclusively on historical texts up to specified cutoff dates, essentially creating time-locked AI that speaks from within a particular era’s worldview. The History LLMs aim to be trained on massive curated datasets of time-stamped documents so that the resulting models can offer responses grounded only in the knowledge available before their cutoff, such as 1913, thereby avoiding hindsight contamination common in modern LLMs. ... -
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RAGHub
A community-driven collection of RAG
...The repository is community-driven, meaning developers can contribute new tools, frameworks, or educational resources to keep the dRAGHub is an open-source directory and knowledge hub dedicated to organizing tools, frameworks, and research resources related to Retrieval-Augmented Generation systems. -
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JMComic APK
Forbidden Comics Paradise APK
JMComic APK is an open-source repository that distributes and manages Android installation packages for a comic reading application associated with the JMComic ecosystem, which aggregates and delivers large collections of digital comics. The project acts as a hub for downloading updated APK releases, allowing users to install or update the application outside of traditional app stores. It is closely tied to a broader ecosystem that includes APIs, crawlers, and tools for browsing, searching, and downloading comic content programmatically. The application itself is designed to provide a mobile-friendly interface for reading comics, including features such as browsing categories, accessing serialized content, and managing reading history. ... -
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Emupedia
The purpose of Emupedia is to serve as a nonprofit meta-resource
...Its primary goal is digital preservation, collecting and organizing abandonware, freeware, and historically significant software while making it accessible through modern web technologies. Emupedia also serves as a community hub, encouraging contributions and collaboration around retro computing and emulation projects. -
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memos
An open-source, self-hosted memo hub with knowledge management
A lightweight, self-hosted memo hub. Open Source and Free forever. memos provides the privacy security and reliability that innovators need in their moments of inspiration. Keep your own data by yourself. All data generated at runtime is saved in the SQLite database file. All content will be saved as plain text, not HTML. And lots of useful markdown syntaxes are supported. -
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Qwen3.6
Qwen3.6 is the large language model series developed by Qwen team
...It builds upon the advancements introduced in Qwen3.5, focusing on improving stability, responsiveness, and practical application in coding and agent-based workflows. The repository serves as a central hub for documentation, community discussion, and access to the latest model releases, rather than a standalone application. One of its defining goals is to enhance “agentic coding,” enabling the model to reason across entire codebases, handle multi-step development tasks, and assist with complex software engineering workflows. The architecture incorporates modern techniques such as mixture-of-experts and hybrid attention mechanisms, allowing it to scale efficiently while maintaining strong performance. -
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ArkOS
Another rockchip Operating System
Another rockchip Operating System. This OS came about from an initial fork of The Retro Arena to support a roms folder on a NTFS partition so that the management of roms could be done by simply putting you SD card into an appropriate card reader on a Windows 10 computer. Through various upgrades and tweaks overtime, it has diverged significantly from TheRA and it's time to rebrand this distro. With suggestions provided by community members, ArkOS was chosen. -
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Core ML Stable Diffusion
Stable Diffusion with Core ML on Apple Silicon
...The Swift package relies on the Core ML model files generated by python_coreml_stable_diffusion. Hugging Face ran the conversion procedure on the following models and made the Core ML weights publicly available on the Hub. If you would like to convert a version of Stable Diffusion that is not already available on the Hub, please refer to the Converting Models to Core ML. Log in to or register for your Hugging Face account, generate a User Access Token and use this token to set up Hugging Face API access by running huggingface-cli login in a Terminal window. -
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MATLAB Deep Learning Model Hub
Discover pretrained models for deep learning in MATLAB
Discover pre-trained models for deep learning in MATLAB. Pretrained image classification networks have already learned to extract powerful and informative features from natural images. Use them as a starting point to learn a new task using transfer learning. Inputs are RGB images, the output is the predicted label and score. -
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Cosmos SDK
A Framework for Building High Value Public Blockchains
...Tendermint Core (BFT Consensus) and the Cosmos SDK are written in the Golang programming language. Cosmos SDK is used to build Gaia, the first implementation of the Cosmos Hub. The Cosmos SDK has mostly stabilized, but we are still making some breaking changes. The Cosmos SDK is an open-source framework for building multi-asset public Proof-of-Stake (PoS) blockchains, like the Cosmos Hub, as well as permission Proof-of-Authority (PoA) blockchains. Blockchains built with the Cosmos SDK are generally referred to as application-specific blockchains. ... -
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Hugging Face Skills
Definitions for AI/ML tasks like dataset creation
...Each skill is a self-contained folder with structured metadata and guidance that tells an agent how to execute tasks such as dataset creation, model training, evaluation, or Hub operations. The project is designed to be interoperable across major agent ecosystems, including Claude Code, OpenAI Codex, Gemini CLI, and Cursor, making it a cross-platform building block for agent automation. By formalizing best practices and workflows, Skills helps transform general-purpose coding agents into domain-aware assistants that can execute complex ML pipelines with less manual prompting. ...
