Showing 7 open source projects for "cloud simulation tools"

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  • 1
    Diagrams

    Diagrams

    Diagram as Code for prototyping cloud system architectures

    Diagrams lets you draw the cloud system architecture in Python code. It was born for prototyping a new system architecture without any design tools. You can also describe or visualize the existing system architecture as well. Diagram as Code allows you to track the architecture diagram changes in any version control system. Diagrams currently support main major providers including AWS, Azure, GCP, Kubernetes, Alibaba Cloud, Oracle Cloud, etc.
    Downloads: 2 This Week
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  • 2
    FeelUOwn

    FeelUOwn

    Trying to be a robust, user-friendly and hackable music player

    FeelUOwn is a user-friendly, and hackable music player.
    Downloads: 1 This Week
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  • 3
    AutoCrop-Vertical

    AutoCrop-Vertical

    Smart video converter using YOLOv8 and FFmpeg

    AutoCrop-Vertical is a Python-based video processing tool that automatically converts horizontal videos into vertical formats optimized for social media platforms. It uses computer vision techniques and AI models such as YOLOv8 to analyze each frame, detect subjects, and dynamically adjust cropping decisions. Instead of applying a static center crop, the system intelligently tracks people or key objects to preserve visual focus and composition. When cropping would degrade the scene, it can...
    Downloads: 0 This Week
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  • 4
    VGGSfM

    VGGSfM

    VGGSfM: Visual Geometry Grounded Deep Structure From Motion

    ...The system combines learned feature matching and geometric optimization to generate high-quality camera calibrations, sparse/dense point clouds, and depth maps in standard COLMAP format. Version 2.0 adds support for dynamic scene handling, dense point cloud export, video-based reconstruction (1000+ frames), and integration with Gaussian Splatting pipelines. It leverages tools like PyCOLMAP, poselib, LightGlue, and PyTorch3D for feature matching, pose estimation, and visualization. With minimal configuration, users can process single scenes or full video sequences, apply motion masks to exclude moving objects, and train neural radiance or splatting models directly from reconstructed outputs.
    Downloads: 0 This Week
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  • 5
    YouTube-8M

    YouTube-8M

    Starter code for working with the YouTube-8M dataset

    youtube-8m is Google’s open source starter code and reference implementation for training and evaluating machine learning models on the YouTube-8M dataset, one of the largest video understanding datasets publicly released. The repository provides a complete pipeline for video-level and frame-level modeling using TensorFlow, including data reading, model training, evaluation, and inference. It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured...
    Downloads: 1 This Week
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  • 6
    LaueTools

    LaueTools

    open source python packages for X-ray MicroLaue Diffraction analysis

    LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools
    Downloads: 0 This Week
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  • 7

    Point Cloud Skinner for Blender

    Python script (addon) for Blender to skin point cloud (verts to face).

    ...It can skin any shapes of point clouds, such as a surveyed geography point cloud that represents a landform somewhere, a fluid volumetric point cloud obtained by numerical fluid simulation, or anything you like. You can see some sample meshes that the script produced in "Results" part below.
    Downloads: 7 This Week
    Last Update:
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