Showing 279 open source projects for "point"

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  • 1
    LangGraph

    LangGraph

    Build resilient language agents as graphs

    LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. LangGraph allows you to define flows that involve cycles, essential for most agentic architectures, differentiating it from DAG-based solutions. As a very low-level framework, it provides fine-grained control over both the flow and state of your application,...
    Downloads: 7 This Week
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  • 2
    PyGPT

    PyGPT

    Open source personal AI Assistant for Linux, Windows and Mac

    ...Moreover, the application has implemented context memory support, context storage, history of contexts, which can be restored at any time and e.g. continue the conversation from point in history, and also has a convenient and intuitive system of presets that allows you to quickly and pleasantly create and manage your prompts. Plugins support is also available.
    Downloads: 9 This Week
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  • 3
    VGGT-Ω

    VGGT-Ω

    [CVPR 2026 Oral] VGGT Omega

    ...It includes pretrained model variants with different resolutions and text-alignment capabilities, though checkpoint access may require approval. The repository also provides a Gradio demo that can visualize predicted cameras and depth-unprojected point clouds as a GLB scene. VGGT-Omega is best suited for researchers and developers working on 3D reconstruction, visual geometry, and image-based scene understanding.
    Downloads: 3 This Week
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  • 4
    GLM-4.1V

    GLM-4.1V

    GLM-4.6V/4.5V/4.1V-Thinking, towards versatile multimodal reasoning

    ...It represents a trade-off: somewhat reduced capacity compared to 4.5V or 4.6V, but with benefits in terms of speed, deployability, and lower hardware requirements — making it especially useful for developers experimenting locally, building lightweight agents, or deploying on limited infrastructure. Given its open-source availability under the same project repository, it provides an accessible entry point for testing multimodal reasoning and building proof-of-concept applications.
    Downloads: 0 This Week
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    Cython

    Cython

    The most widely used Python to C compiler

    Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. ...
    Downloads: 8 This Week
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  • 6
    HexStrike AI MCP Agents

    HexStrike AI MCP Agents

    HexStrike AI MCP Agents is an advanced MCP server

    ...It ships with curated tool adapters, task orchestration, and guidance for connecting popular agent clients (Claude, GPT, Copilot) to a hardened execution environment. Documentation highlights the breadth of supported utilities and positions HexStrike as a research and red-team aid, not a point-and-click exploit kit. A public site and active repository activity signal an expanding community around autonomous security research agents.
    Downloads: 4 This Week
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  • 7
    Generative AI for Beginners (Version 3)

    Generative AI for Beginners (Version 3)

    21 Lessons, Get Started Building with Generative AI

    Generative AI for Beginners is a 21-lesson course by Microsoft Cloud Advocates that teaches the fundamentals of building generative AI applications in a practical, project-oriented way. Lessons are split into “Learn” modules for core concepts and “Build” modules with hands-on code in Python and TypeScript, so you can jump in at any point that matches your goals. The course covers everything from model selection, prompt engineering, and chat/text/image app patterns to secure development practices and UX for AI. It also walks through modern application techniques such as function calling, RAG with vector databases, working with open source models, agents, fine-tuning, and using SLMs. ...
    Downloads: 5 This Week
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  • 8
    GT New Horizons Mod Pack

    GT New Horizons Mod Pack

    New Modpack with Gregtech, Thaumcraft and Witchery

    ...The main intentions of the pack are a long-lasting experience and tying mods together in a progressive fashion, making it feel more like a single game than a compilation of mods thrown together. To reach this goal, GT New Horizons is using the tiers (basically ages of technology) from GregTech and allocates the content of other mods to a fitting point within the progression. Starting in the Stone Age you will barely be able to survive until you get your first steam machines and, eventually, reach electricity.
    Downloads: 13 This Week
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  • 9
    Generative AI

    Generative AI

    Sample code and notebooks for Generative AI on Google Cloud

    ...It is licensed under Apache-2.0, open­sourced and maintained by Google, meaning it's designed with enterprise-grade practices in mind. Overall, it serves as a practical entry point and reference library for building real-world generative AI systems on Google Cloud.
    Downloads: 6 This Week
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  • 10
    OpenDAN

    OpenDAN

    OpenDAN is an open source Personal AI OS

    OpenDAN is an open-source Personal AI OS , that consolidates various AI modules in one place for your personal use. The goal of OpenDAN (Open and Do Anything Now with AI) is to create a Personal AI OS , which provides a runtime environment for various Al modules as well as protocols for interoperability between them. With OpenDAN, users can securely collaborate with various AI modules using their private data to create powerful personal AI agents, such as butlers, lawyers, doctors, teachers,...
    Downloads: 3 This Week
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  • 11
    LLaMA Models

    LLaMA Models

    Utilities intended for use with Llama models

    ...It ties together other stack components (like safety tooling and developer SDKs) and provides canonical references for model variants and their intended usage. The project’s issues and releases reflect an actively used coordination point for the ecosystem, where guidance, utilities, and compatibility notes are published. It complements separate repos that carry code and demos (for example inference kernels or cookbook content) by keeping authoritative metadata and specs here. Model lineages and size variants are documented externally (e.g., Llama 3.x and beyond), with this repo providing the “single source of truth” links and utilities. ...
    Downloads: 4 This Week
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  • 12
    Dev-template

    Dev-template

    A template for development with the open-autonomy framework

    Dev Template is a starting point for developing autonomous agents using the Autonolas framework by Valory. It provides a modular and extensible codebase to accelerate the development of agents that act autonomously in decentralized networks. This template includes tooling for building, testing, and deploying agents in real-world decentralized applications (dApps).
    Downloads: 0 This Week
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  • 13
    AgentOps

    AgentOps

    Python SDK for agent monitoring, LLM cost tracking, benchmarking, etc.

    Industry-leading developer platform to test and debug AI agents. We built the tools so you don't have to. Visually track events such as LLM calls, tools, and multi-agent interactions. Rewind and replay agent runs with point-in-time precision. Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production. Native integrations with the top agent frameworks.
    Downloads: 0 This Week
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  • 14
    TurboQuant PyTorch

    TurboQuant PyTorch

    From-scratch PyTorch implementation of Google's TurboQuant

    TurboQuant PyTorch is a specialized deep learning optimization framework designed to accelerate neural network inference and training through advanced quantization techniques within the PyTorch ecosystem. The project focuses on reducing the computational and memory footprint of models by converting floating-point representations into lower-precision formats while preserving performance. It provides tools for experimenting with different quantization strategies, enabling developers to balance accuracy and efficiency depending on their application. The framework integrates directly with PyTorch workflows, making it accessible for researchers and engineers already familiar with the ecosystem. ...
    Downloads: 0 This Week
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  • 15
    Vorta Backup Client

    Vorta Backup Client

    Desktop Backup Client for Borg Backup

    Vorta is a backup client for macOS and Linux desktops. It integrates the mighty Borg Backup with your favorite desktop environment to protect your data from disk failure, ransomware and theft.
    Downloads: 0 This Week
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  • 16
    Uplink

    Uplink

    A Declarative HTTP Client for Python

    A Declarative HTTP Client for Python. Inspired by Retrofit. Uplink is in beta development. The public API is still evolving, but we expect most changes to be backward compatible at this point. Uplink turns your HTTP API into a Python class. Build an instance to interact with the web service. Then, executing an HTTP request is as simply as invoking a method. Use decorators and type hints to describe each HTTP request. JSON, URL-encoded, and multipart request body and file upload. URL parameter replacement, request headers, and query parameter support.
    Downloads: 0 This Week
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  • 17
    Qwen-2.5-VL

    Qwen-2.5-VL

    Qwen2.5-VL is the multimodal large language model series

    Qwen2.5 is a series of large language models developed by the Qwen team at Alibaba Cloud, designed to enhance natural language understanding and generation across multiple languages. The models are available in various sizes, including 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B parameters, catering to diverse computational requirements. Trained on a comprehensive dataset of up to 18 trillion tokens, Qwen2.5 models exhibit significant improvements in instruction following, long-text generation...
    Downloads: 9 This Week
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  • 18
    Public APIs

    Public APIs

    A collective list of free APIs

    ...The repository’s open nature encourages contributions, allowing anyone to submit new APIs or updates through pull requests. Over time, public-apis has evolved into a trusted and frequently updated reference point within the developer community. It also provides an active community space, including a Discord server.
    Downloads: 2 This Week
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  • 19
    LAMDA

    LAMDA

    Android reverse engineering & automation framework

    ...It replaces a large number of manual operations with a programmed interface. It is not a single-function framework. To give you a general idea of ​​its usefulness: Do you install various agents, plug-ins, or point-and-click settings on your phone to complete your work? Do you want to operate a mobile phone thousands of miles away in a different place? Do you have the need to programmatically control your phone? Are you still paying for expensive IP switching , remote ADB debugging , RPA automation and even logcat logs from some cloud mobile phone manufacturers? ...
    Downloads: 5 This Week
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  • 20
    Modoboa

    Modoboa

    Mail hosting made simple

    ...It provides useful components such as an administration panel and webmail. Modoboa integrates with well known software such as Postfix or Dovecot. A SQL database (MySQL, PostgreSQL or SQLite) is used as a central point of communication between all components. Modoboa is developed with modularity in mind, expanding it is really easy. Actually, all current features are extensions. It is written in Python 3 and uses the Django, jQuery and Bootstrap frameworks. Follow the evolution of your server traffic thanks to a few builtin graphics: messages distribution per type and average size. ...
    Downloads: 1 This Week
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  • 21
    SMTP Tunnel Proxy

    SMTP Tunnel Proxy

    A high-speed covert tunnel that disguises TCP traffic as SMTP email

    ...The tool supports modern TLS encryption (STARTTLS) with HMAC-SHA256 authentication, per-user secrets, IP whitelisting, and multiplexed connections over a single tunnel. With a simple installer and systemd service setup, users can quickly deploy it on a Linux VPS as a tunneled access point, then connect from Windows, macOS, or Linux clients using auto-generated client packages. The project is useful for environments where standard VPNs or proxies are blocked, offering a combination of performance and stealth.
    Downloads: 2 This Week
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  • 22
    Meta Package Manager

    Meta Package Manager

    Wraps all package managers with a unifying CLI

    ...Install a package, remove a package, and list outdated packages. Sync local package infos. Upgrade all outdated packages. Backup list of installed packages to TOML file. Restore/install list of packages from TOML files. Pin-point commands to a subset of package managers (include/exclude selectors). Support plain, versioned, and purl package specifiers. Export output to JSON or print user-friendly tables. Shell auto-completion for Bash, Zsh and Fish. Provides an Xbar/SwiftBar plugin for friendly macOS integration.
    Downloads: 2 This Week
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  • 23
    vim-ai

    vim-ai

    AI-powered code assistant for Vim. OpenAI and ChatGPT plugin for Vim

    ...The repository also highlights support for custom roles, vision features such as image-to-text, and an emerging provider-plugin model for extending compatibility further. A notable design point is that it only sends content the user explicitly selects or includes in prompts, which helps users control what is shared with the external model.
    Downloads: 1 This Week
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  • 24
    PyG

    PyG

    Graph Neural Network Library for PyTorch

    ...In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour).
    Downloads: 1 This Week
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  • 25
    PyTorch Geometric

    PyTorch Geometric

    Geometric deep learning extension library for PyTorch

    ...In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of functionality of PyTorch Geometric to other packages, which needs to be additionally installed. These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. We do not recommend installation as root user on your system python. Please setup an Anaconda/Miniconda environment or create a Docker image. ...
    Downloads: 1 This Week
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