Showing 9293 open source projects for "frameworks"

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  • 1
    UCP Python SDK

    UCP Python SDK

    The official Python SDK for UCP

    UCP Python SDK repository for the Universal Commerce Protocol (UCP) delivers an official Python client library that simplifies building UCP-compliant applications in Python. UCP itself is a modern, open-source standard that empowers seamless commerce interactions between platforms, AI agents, merchants, and payment providers without requiring bespoke integrations for every participant in the commerce ecosystem. This SDK provides Pydantic models for UCP schemas, making it easy for Python...
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  • 2
    Open Model Zoo

    Open Model Zoo

    Pre-trained Deep Learning models and demos

    Open Model Zoo is a large repository of high-quality pre-trained deep learning models and demonstration applications designed to work with the OpenVINO™ toolkit, offering a comprehensive starting point for a wide range of AI and computer vision workloads. It includes hundreds of models covering object detection, classification, segmentation, pose estimation, speech recognition, text-to-speech, and more, many of which are already converted into formats optimized for inference on CPUs, GPUs,...
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  • 3
    Backbone

    Backbone

    Give your JS app some Backbone with models, views, and collections

    ...Because of this minimalism, Backbone integrates easily into existing applications and is flexible rather than opinionated, making it popular in the era before heavier single-page frameworks dominated. It helps developers avoid "spaghetti code" by separating concerns and centralising data-bindings and event flows. Even though newer frameworks have largely overtaken it in popularity, Backbone remains a valuable historical and educational reference.
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  • 4
    SSRFmap

    SSRFmap

    Automatic SSRF fuzzer and exploitation tool

    SSRFmap is a specialized security tool designed to automate the detection and exploitation of Server Side Request Forgery (SSRF) vulnerabilities. It takes as input a Burp request file and a user-specified parameter to fuzz, enabling you to fast-track the identification of SSRF attack surfaces. It includes multiple exploitation “modules” for common SSRF-based attacks or pivoting techniques, such as DNS zone transfers, MySQL/Postgres command execution, Docker API info leaks, and network scans....
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  • 5
    FastMCP Framework

    FastMCP Framework

    A TypeScript framework for building MCP servers

    FastMCP is a TypeScript framework aimed at building servers compliant with the Model Context Protocol (MCP), enabling LLMs (large language models) or other clients to access tools, resources, and context through a defined protocol. It allows developers to define “tools” (basically operations or services) and “resources” that can be fetched or interacted with, and supports multiple transport mechanisms (HTTP streaming, SSE, etc) for client-server communication. Because it’s built in...
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  • 6
    NanoNeuron

    NanoNeuron

    NanoNeuron is 7 simple JavaScript functions

    Nano-Neuron is a didactic project that reduces the idea of a neuron to a handful of tiny JavaScript functions so learners can see “learning” in action without heavy frameworks. It demonstrates how a scalar input can be linearly transformed with a weight and bias, then adjusted via gradient updates to fit a simple mapping such as Celsius-to-Fahrenheit conversion. The code emphasizes readability over performance, inviting you to step through calculations and watch parameters converge. Because every concept is expressed in a few lines, it’s easy to tinker—change learning rates, swap cost functions, or visualize error curves. ...
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  • 7
    Visual Blocks

    Visual Blocks

    Visual Blocks for ML is a Google visual programming framework

    Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive...
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  • 8
    JEPA

    JEPA

    PyTorch code and models for V-JEPA self-supervised learning from video

    JEPA (Joint-Embedding Predictive Architecture) captures the idea of predicting missing high-level representations rather than reconstructing pixels, aiming for robust, scalable self-supervised learning. A context encoder ingests visible regions and predicts target embeddings for masked regions produced by a separate target encoder, avoiding low-level reconstruction losses that can overfit to texture. This makes learning focus on semantics and structure, yielding features that transfer well...
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  • 9
    DLRM

    DLRM

    An implementation of a deep learning recommendation model (DLRM)

    DLRM (Deep Learning Recommendation Model) is Meta’s open-source reference implementation for large-scale recommendation systems built to handle extremely high-dimensional sparse features and embedding tables. The architecture combines dense (MLP) and sparse (embedding) branches, then interacts features via dot product or feature interactions before passing through further dense layers to predict click-through, ranking scores, or conversion probabilities. The implementation is optimized for...
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  • 10
    ImageBind

    ImageBind

    ImageBind One Embedding Space to Bind Them All

    ImageBind is a multimodal embedding framework that learns a shared representation space across six modalities—images, text, audio, depth, thermal, and IMU (inertial motion) data—without requiring explicit pairwise training for every modality combination. Instead of aligning each pair independently, ImageBind uses image data as the central binding modality, aligning all other modalities to it so they can interoperate zero-shot. This creates a unified embedding space where representations from...
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  • 11
    Smallpond

    Smallpond

    A lightweight data processing framework built on DuckDB and 3FS

    smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express...
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  • 12
    CodeGuide

    CodeGuide

    This repository is a collection of the author, Xiao Fuge

    ...The project serves as a structured and comprehensive learning path for developers who want to strengthen their understanding of Java fundamentals and core programming practices. It includes detailed explanations of design patterns, source code analysis, frameworks, algorithms, and real-world project cases. The repository emphasizes practical coding skills, providing examples that can be directly applied in professional software engineering. It also functions as a guide for both junior developers who want to grow into architects and experienced engineers who seek deeper mastery of system design. ...
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  • 13
    future

    future

    R package: future: Unified Parallel and Distributed Processing in R

    The future package in R provides a unified abstraction for asynchronous and/or parallel computation. It allows R expressions to be scheduled for future evaluation, with the result retrieved later, in a way decoupled from the specific backend used. This lets code be written in a way that works with sequential execution, multicore, multisession, cluster, or remote compute backends, without changing the high-level code. It handles automatic exporting of needed global variables/functions,...
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  • 14
    PowerHub

    PowerHub

    A post exploitation tool based on a web application

    PowerHub is a PowerShell-based automation framework designed to centralize and orchestrate common administrative tasks across Windows environments. It exposes a modular command set for inventorying systems, managing services, deploying packages, and executing remote commands with consistent logging and error handling. The project places emphasis on discoverability and reuse: scripts are organized into reusable modules and functions with clear parameter contracts so teams can compose...
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  • 15
    BCC (BPF Compiler Collection)

    BCC (BPF Compiler Collection)

    Tools for BPF-based Linux IO analysis, networking, monitoring, etc.

    BCC is a toolkit that simplifies creating efficient kernel tracing, monitoring, and manipulation programs by leveraging extended Berkeley Packet Filters (eBPF). It includes a rich set of example tools and scripting interfaces in C, Python, and Lua. BCC makes BPF programs easier to write, with kernel instrumentation in C (and includes a C wrapper around LLVM), and front-ends in Python and lua. It is suited for many tasks, including performance analysis and network traffic control. With a...
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  • 16
    OmniParser

    OmniParser

    A simple screen parsing tool towards pure vision based GUI agent

    OmniParser is a comprehensive method for parsing user interface screenshots into structured elements, significantly enhancing the ability of multimodal models like GPT-4 to generate actions accurately grounded in corresponding regions of the interface. It reliably identifies interactable icons within user interfaces and understands the semantics of various elements in a screenshot, associating intended actions with the correct screen regions. To achieve this, OmniParser curates an...
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  • 17
    PydanticAI

    PydanticAI

    Agent Framework / shim to use Pydantic with LLMs

    When I first found FastAPI, I got it immediately. I was excited to find something so innovative and ergonomic built on Pydantic. Virtually every Agent Framework and LLM library in Python uses Pydantic, but when we began to use LLMs in Pydantic Logfire, I couldn't find anything that gave me the same feeling. PydanticAI is a Python Agent Framework designed to make it less painful to build production-grade applications with Generative AI. Built by the team behind Pydantic (the validation layer...
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  • 18
    BISHENG

    BISHENG

    BISHENG is an open LLM devops platform for next generation apps

    BISHENG is an open LLM application DevOps platform, focusing on enterprise scenarios. It has been used by a large number of industry-leading organizations and Fortune 500 companies. "Bi Sheng" was the inventor of movable type printing, which played a vital role in promoting the transmission of human knowledge. We hope that BISHENG can also provide strong support for the widespread implementation of intelligent applications. Everyone is welcome to participate.
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  • 19
    Turbo Laravel

    Turbo Laravel

    Conventions to make the most out of Hotwire in Laravel

    An alternative way of building web and hybrid native applications with minimal JavaScript that relies on sending HTML over the wire. Turbo Laravel ships with a set of helper functions, response macros, and Blade components and directives to help construct Turbo Streams. Whenever a model changes, you may want to generate Turbo Streams from those changes and broadcast them to all interested users connected to Laravel Echo channels. It also ships with a Blade component that allows listening to...
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  • 20
    Production-ready Docker PHP

    Production-ready Docker PHP

    Production-ready Docker images for PHP. Optimized for Laravel

    serversideup/php is an optimized set of Docker Images for running PHP applications in production. Everything is designed around improving the developer experience with PHP and Docker. Gone are the days of configuring each environment differently, and gone are the days of trying to figure out why your code works in one environment and not the other. These images are highly optimized to run modern PHP applications, no matter where you want your application to run. Ditch FPM for a modern way of...
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  • 21
    Laravel Sanctum

    Laravel Sanctum

    Laravel Sanctum provides a featherweight authentication system

    Laravel Sanctum provides a featherweight authentication system for SPAs (single-page applications), mobile applications, and simple, token-based APIs. Sanctum allows each user of your application to generate multiple API tokens for their account. These tokens may be granted abilities/scopes that specify which actions the tokens are allowed to perform. Laravel Sanctum exists to solve two separate problems. Let's discuss each before digging deeper into the library. First, Sanctum is a simple...
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  • 22
    Laravel Auditing

    Laravel Auditing

    Record the change log from models in Laravel

    This package will help you understand changes in your Eloquent models, by providing information about possible discrepancies and anomalies that could indicate business concerns or suspect activities. Laravel Auditing allows you to keep a history of model changes by simply using a trait. Retrieving the audited data is straightforward, making it possible to display it in various ways. Auditing events provide a simple observer pattern implementation, allowing you to subscribe and listen to the...
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  • 23
    KubeEdge

    KubeEdge

    Kubernetes Native Edge Computing Framework (project under CNCF)

    KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image...
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  • 24
    Ktor

    Ktor

    Framework for quickly creating connected applications in Kotlin

    Create asynchronous client and server applications. Anything from microservices to multiplatform HTTP client apps in a simple way. Open Source, free, and fun. Ktor is built from the ground up using Kotlin and Coroutines. You get to use a concise, multiplatform language, as well as the power of asynchronous programming with an intuitive imperative flow. Ktor allows you to use only what you need, and to structure your application the way you need it. In addition, you can also extend Ktor with...
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  • 25
    Axe

    Axe

    Logger-agnostic wrapper that normalizes logs regardless of arg style

    Logger-agnostic wrapper that normalizes logs regardless of arg style. Great for large dev teams, old/new projects, and works w/Pino, Bunyan, Winston, console, and more. It is lightweight, performant, highly-configurable, and automatically adds OS, CPU, and Git information to your logs. Hooks, dot-notation remap, omit, and pick of metadata. Axe was built to provide consistency among development teams when it comes to logging. You not only have to worry about your development team using the...
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