6 projects for "environment-modules" with 2 filters applied:

  • Build Agents and Models on One Platform Icon
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    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • 1
    MetaCLIP

    MetaCLIP

    ICLR2024 Spotlight: curation/training code, metadata, distribution

    ...The goal is to preserve CLIP’s strong zero-shot transfer capability while enabling fast adaptation to domain shifts or novel class sets with minimal data and without catastrophic forgetting. The repository provides training logic, adaptation strategies (e.g. prompt tuning, adapter modules), and evaluation across base and target domains to measure how well the model retains its general knowledge while specializing as needed. It includes utilities to fine-tune vision-language embeddings, compute prompt or adapter updates, and benchmark across transfer and retention metrics. MetaCLIP is especially suited for real-world settings where a model must continuously incorporate new visual categories or domains over time.
    Downloads: 0 This Week
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  • 2
    Vision Transformer Pytorch

    Vision Transformer Pytorch

    Implementation of Vision Transformer, a simple way to achieve SOTA

    This repository provides a from-scratch, minimalist implementation of the Vision Transformer (ViT) in PyTorch, focusing on the core architectural pieces needed for image classification. It breaks down the model into patch embedding, positional encoding, multi-head self-attention, feed-forward blocks, and a classification head so you can understand each component in isolation. The code is intentionally compact and modular, which makes it easy to tinker with hyperparameters, depth, width, and...
    Downloads: 4 This Week
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  • 3
    maskrcnn-benchmark

    maskrcnn-benchmark

    Fast, modular reference implementation of Instance Segmentation

    ...Built as a reference implementation, it became a foundation for the next-generation Detectron2, yet remains widely used for research needing a stable, reproducible environment. Visualization tools, model zoo checkpoints, and benchmark scripts make it easy to replicate state-of-the-art results or fine-tune models for custom tasks.
    Downloads: 0 This Week
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  • 4
    Show Facebook Computer Vision Tags

    Show Facebook Computer Vision Tags

    Chrome Extension that displays automated image tags from Facebook

    ...Since Facebook uses a computer-vision model to analyse user-uploaded images and generate alt-text tags for accessibility (e.g., “Image may contain: golf, grass, outdoor and nature”), this extension surfaces those hidden tags directly in the UI—revealing what kind of information Facebook infers about images (objects present, activities being done, environment). The purpose is educational and somewhat cautionary: to help users understand the scope of visual inference and privacy issues. Once installed, the extension overlays those tags on images in the timeline, making visible what is typically hidden metadata. The project is relatively lightweight but has garnered attention due to its privacy transparency angle.
    Downloads: 0 This Week
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    99.99% Uptime for MySQL and PostgreSQL Databases

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  • 5
    proGPUKLT is a library for the Processing programming language and environment that wraps a GPU-implementation of the Kanade-Lucas-Tomasi feature tracker used for computer vision applications.
    Downloads: 0 This Week
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  • 6
    Computer Vision library using GPU environment acceleration. Based on openCV and openGL
    Downloads: 0 This Week
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