Showing 7012 open source projects for "linux windows apps"

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  • 1
    Claude Code Architecture Study

    Claude Code Architecture Study

    Research on Coding Agents

    Claude Code Architecture Study is an educational and experimental repository designed to teach developers how to build, configure, and understand AI coding agents from first principles. The project focuses on breaking down the architecture of agentic systems, including how models perceive context, make decisions, and execute actions in a coding environment. It likely provides step-by-step examples, conceptual explanations, and practical implementations that guide users through creating their...
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  • 2
    MetaClaw

    MetaClaw

    Just talk to your agent

    MetaClaw is an AI or agent-oriented system that appears to focus on advanced control, coordination, or training of autonomous agents, potentially within reinforcement learning or tool-using environments. The project likely emphasizes meta-level reasoning, where agents are not only executing tasks but also adapting their strategies based on feedback and performance signals. It may incorporate mechanisms for learning from interactions, improving decision-making over time, and generalizing...
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  • 3
    MedgeClaw

    MedgeClaw

    Open-source AI research assistant for biomedicine

    MedgeClaw is a specialized AI-powered research assistant tailored for biomedical and scientific workflows, built on top of OpenClaw and Claude Code architectures. It integrates a large library of domain-specific skills, enabling it to perform complex analyses in areas such as genomics, drug discovery, and clinical research. The system connects conversational interfaces with computational environments, allowing users to initiate research tasks through messaging platforms while the backend...
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  • 4
    OpenReview

    OpenReview

    An open-source, self-hosted AI code review bot powered by Vercel

    OpenReview is an open-source, self-hosted AI-powered code review system designed to automate and enhance the pull request review process using advanced language models. Built by Vercel Labs, it integrates directly with GitHub workflows, allowing developers to trigger intelligent code reviews by simply mentioning a bot in a pull request. The system operates in a sandboxed environment with access to the repository, enabling it to run linters, tests, and formatting tools as part of its review...
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  • 5
    Agent Auth Protocol

    Agent Auth Protocol

    Standard and implementation for AI agent authentication

    Agent Auth Protocol is a specification-oriented project within the Better Auth ecosystem that defines a structured protocol for authentication between applications and autonomous agents. It is designed to standardize how AI agents and services securely authenticate, communicate, and manage identity within modern software systems. Built alongside the broader Better Auth framework, it integrates with a comprehensive authentication system that supports features like OAuth, multi-factor...
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  • 6
    Vector Admin

    Vector Admin

    The universal tool suite for vector database management

    Vector Admin is a full-stack management platform designed to simplify the handling, visualization, and control of vector databases used in modern AI and machine learning applications. It acts as a universal interface for interacting with multiple vector database providers such as Pinecone, Chroma, Weaviate, and Qdrant, enabling users to manage embeddings without relying solely on APIs or backend tooling. The platform provides a user-friendly graphical interface that allows developers and...
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  • 7
    PromptBin

    PromptBin

    A free guide for learning to create ChatGPT3 Prompts

    PromptBin is an open-source prompt engineering resource and lightweight web application designed to help users discover, organize, and reuse effective prompts for large language models like ChatGPT. At its core, the project acts as a curated and structured library of prompts across a wide variety of use cases, including writing, brainstorming, debugging, and coding, making it particularly useful for both beginners and advanced users. The repository is also intended as a foundation for...
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  • 8
    LiteParse

    LiteParse

    A fast, helpful, and open-source document parser

    LiteParse is an open-source lightweight parsing library designed to extract structured data from unstructured text using large language models in an efficient and cost-effective manner. It focuses on simplifying the process of turning raw text into structured outputs such as JSON by providing a streamlined interface for prompt-based parsing. The system is designed to minimize overhead, making it suitable for applications where performance and cost are critical considerations. LiteParse...
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  • 9
    LabClaw

    LabClaw

    Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists)

    LabClaw is an open-source AI experimentation and agent orchestration platform designed to help developers build, test, and iterate on complex autonomous workflows in a controlled and modular environment. It provides a framework for composing multiple tools, prompts, and execution steps into structured pipelines that can be reused and evaluated across different scenarios. The system emphasizes experimentation, allowing users to run multiple variations of agent workflows, compare outputs, and...
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  • 10
    CodeMachine

    CodeMachine

    CLI tool for multi-agent workflows and automated code generation

    CodeMachine CLI is a command-line orchestration engine designed to run coordinated multi-agent workflows locally. It enables developers to transform high-level specifications into production-ready code by managing planning, architecture, implementation, testing, and validation within a unified environment. CodeMachine CLI supports parallel execution through multiple specialized agents, allowing faster development cycles and scalable automation. Built for flexibility, it can handle anything...
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  • 11
    One-Person Company

    One-Person Company

    One-Person Company AI Tools Series

    One Person Company is an open-source project that provides a conceptual and technical framework for building fully automated businesses powered by AI agents, enabling individuals to operate scalable digital ventures with minimal human intervention. It explores the idea of leveraging AI tools for tasks such as content generation, marketing, customer support, and product development, effectively replacing traditional team structures with intelligent automation. The repository includes...
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  • 12
    AI-Crawler

    AI-Crawler

    Crawl a website starting from a URL, find relevant pages

    AI Crawler is an experimental AI-powered web crawling and data extraction tool that uses natural language prompts to guide the discovery and retrieval of relevant information across websites. Unlike traditional web scrapers that rely on static selectors and manual scripting, it uses AI to dynamically identify and prioritize pages based on user intent, making it more flexible and resilient to changes in website structure. Users can define their data requirements in plain English, and the...
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  • 13
    ChainForge

    ChainForge

    An open-source visual programming environment

    ChainForge is an open-source visual programming environment designed to help developers systematically test, compare, and evaluate prompts and outputs across multiple large language models in a structured and scalable way. Instead of relying on isolated prompt experimentation, it introduces a dataflow-based interface that allows users to create complex prompt pipelines and evaluate them across different models, parameters, and datasets simultaneously. The platform enables rapid...
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  • 14
    what-to-eat

    what-to-eat

    An AI-based intelligent recipe generation platform

    what-to-eat is an AI-powered recipe generation platform that helps users decide what to cook by generating customized recipes based on ingredients, cuisine preferences, and dietary considerations. The application combines modern frontend technologies with large language models to create a fully interactive cooking assistant that can produce detailed recipes, nutritional analysis, and even visual representations of dishes. It supports a wide range of cuisines, including traditional Chinese...
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  • 15
    agent heroes

    agent heroes

    Generate, animate and schedule your AI characters

    agentheroes is an open-source framework focused on building, orchestrating, and deploying AI agents that can collaborate to complete complex tasks through structured workflows. The project emphasizes multi-agent systems where different agents are assigned roles, responsibilities, and tools, allowing them to interact and coordinate toward a shared objective. It provides abstractions for defining agent behavior, communication patterns, and task execution pipelines, enabling developers to build...
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  • 16
    Vibe Vibe

    Vibe Vibe

    The First Systematic Vibe Coding Tutorial

    Vibe Vibe is an open-source educational platform and tutorial system designed to teach AI-assisted programming, also known as “vibe coding,” through a structured and beginner-friendly learning path. The project is aimed at users with little to no programming experience, guiding them from initial ideas to fully deployed applications using natural language interactions with AI tools. It introduces a paradigm shift where coding becomes a conversational process, allowing users to build software...
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  • 17
    Attention Residuals (AttnRes)

    Attention Residuals (AttnRes)

    Drop-in replacement for standard residual connections in Transformers

    Attention Residuals is a research-driven architectural innovation for transformer-based models that replaces traditional residual connections with an attention-based mechanism to improve information flow across layers. In standard transformers, residual connections simply sum outputs from previous layers, which can lead to uncontrolled growth of hidden states and dilution of early-layer information in deep networks. Attention Residuals introduces a learnable softmax attention mechanism that...
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  • 18
    NeMo Retriever Library

    NeMo Retriever Library

    Document content and metadata extraction microservice

    NeMo Retriever Library is a scalable microservice framework designed for extracting, structuring, and enriching content from documents to support downstream generative AI applications. It processes various document types by splitting them into components such as text, tables, charts, and images, and then applies OCR and contextual analysis to convert them into structured data formats. The system is built on NVIDIA NIM microservices, enabling high-performance parallel processing and efficient...
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  • 19
    ShoppingAgent

    ShoppingAgent

    Custom Chinese chatbot with Seq2Seq, GPT, and agent features

    ShoppingAgent is an open source Chinese conversational AI system that allows users to build and train their own chatbot using custom datasets. It provides multiple implementations of chatbot architectures, including traditional Seq2Seq models as well as newer GPT-style approaches, reflecting the evolution of conversational AI techniques. ShoppingAgent is structured to support experimentation across different deep learning frameworks such as TensorFlow, PyTorch, and MindSpore, giving...
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  • 20
    TNT

    TNT

    A lightweight library for PyTorch training tools and utilities

    TNT is a lightweight training framework developed by Meta that simplifies the process of building and managing machine learning training loops using PyTorch. The project focuses on providing a flexible yet structured environment for implementing training pipelines without the complexity of large deep learning frameworks. It introduces modular abstractions that allow developers to organize training logic into reusable components such as trainers, evaluators, and callbacks. This design helps...
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  • 21
    Python Programming Hub

    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. Many sections are implemented as Jupyter notebooks, allowing learners to run code interactively while reading...
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  • 22
    AlphaTree

    AlphaTree

    DNN && GAN && NLP && BIG DATA

    AlphaTree is an educational repository that provides a visual roadmap of deep learning models and related artificial intelligence technologies. The project focuses on explaining the historical development and relationships between major neural network architectures used in modern machine learning. It presents diagrams and documentation describing the evolution of models such as LeNet, AlexNet, VGG, ResNet, DenseNet, and Inception networks. The repository organizes these architectures into a...
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  • 23
    course.fast.ai

    course.fast.ai

    The fast.ai course notebooks

    course22 is the official repository containing the notebooks, slides, and supporting materials for the 2022 edition of the fast.ai course Practical Deep Learning for Coders. The repository serves as the core educational resource for the course, providing learners with hands-on exercises and coding tutorials that accompany each lecture. The project emphasizes learning deep learning through experimentation rather than purely theoretical study, encouraging students to build models and analyze...
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  • 24
    thorough-pytorch

    thorough-pytorch

    PyTorch Getting Started Tutorial, read online

    thorough-pytorch is an educational project designed to teach deep learning using the PyTorch framework through a structured learning series. The repository provides tutorials and practical exercises that guide learners from fundamental PyTorch concepts to more advanced deep learning techniques. It emphasizes a learning approach that combines theoretical explanations with hands-on coding exercises so that students can build and experiment with neural networks directly. The project encourages...
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  • 25
    Finance

    Finance

    150+ quantitative finance Python programs

    Finance is a repository that compiles structured notes and educational material related to financial analysis, markets, and quantitative finance concepts. The project focuses on explaining key principles used in finance and investment analysis, including topics such as financial statements, valuation models, portfolio theory, and financial markets. The repository is designed as a study reference for students and professionals who want to understand financial systems and the analytical...
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