Showing 7 open source projects for "images"

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  • 1
    Extractous

    Extractous

    Fast and efficient unstructured data extraction

    ...It also supports OCR for images and scanned documents through Tesseract, making it useful for document ingestion pipelines that include image-based or scanned inputs.
    Downloads: 0 This Week
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  • 2
    Microsandbox

    Microsandbox

    Secure local-first microVM sandbox for running untrusted code fast

    ...Microsandbox is particularly geared toward AI agent workflows, offering integrations that enable automated systems to safely run generated code and commands. It also supports standard container images, making it compatible with existing development ecosystems and tooling.
    Downloads: 1 This Week
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  • 3
    Cog

    Cog

    Package and deploy machine learning models using Docker containers

    Cog is an open source tool designed to package machine learning models into standardized, production-ready containers. It simplifies the process of deploying models by automatically generating Docker images based on a simple configuration file, eliminating the need to manually write complex Dockerfiles. Developers can define the runtime environment, dependencies, and Python versions required for their models, allowing Cog to build a consistent container environment that follows best practices. Cog also resolves compatibility issues between frameworks and GPU libraries by automatically selecting compatible combinations of CUDA, cuDNN, and machine learning frameworks such as PyTorch or TensorFlow. ...
    Downloads: 0 This Week
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  • 4
    Lightpanda Browser

    Lightpanda Browser

    Lightpanda: the headless browser designed for AI and automation

    ...Unlike traditional browsers that include full graphical rendering engines meant for human users, Lightpanda is built from scratch to operate entirely in headless mode, focusing only on the components required for programmatic web interaction. This design allows it to execute JavaScript and interact with web pages while avoiding the overhead associated with rendering images, fonts, and layout elements intended for visual display. The browser is implemented using the Zig programming language and integrates the V8 JavaScript engine to run modern web applications and scripts efficiently. Because it avoids graphical rendering and other heavy browser components, the system uses significantly less memory and launches almost instantly compared to conventional browsers such as Chrome.
    Downloads: 14 This Week
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    Build Agents and Models on One Platform

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  • 5
    nono

    nono

    Secure, kernel-enforced sandbox CLI and SDKs for AI agents

    ...The project addresses a growing security concern: modern coding agents typically execute with full user permissions, which means they can potentially read sensitive files, modify system configurations, or exfiltrate credentials if compromised. nono solves this by applying default-deny sandboxing at the kernel level using technologies such as Landlock on Linux and Seatbelt on macOS, making unauthorized actions structurally impossible rather than merely discouraged. Unlike container-based approaches, the tool is intentionally lightweight and can wrap any command-line process without requiring images, VMs, or complex infrastructure. The system emphasizes capability-based security, where processes are granted only the exact filesystem paths and network access they need, and nothing more.
    Downloads: 2 This Week
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  • 6
    Lance

    Lance

    Modern columnar data format for ML and LLMs implemented in Rust

    Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage.
    Downloads: 0 This Week
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  • 7
    hora

    hora

    Efficient approximate nearest neighbor search algorithm collections

    ...Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning models. These vectors are commonly generated by neural networks to represent images, text, audio, or other data types in a mathematical embedding space. The library is written in Rust and emphasizes performance, safety, and efficient memory management, making it suitable for production-grade applications requiring low latency and high throughput.
    Downloads: 0 This Week
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