Showing 4 open source projects for "gridlab-d"

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  • Secure File Transfer for Windows with Cerberus by Redwood Icon
    Secure File Transfer for Windows with Cerberus by Redwood

    Protect and share files over FTP/S, SFTP, HTTPS and SCP with the #1 rated Windows file transfer server.

    Cerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • 1
    Snoise

    Snoise

    Command line tool for scaling and denoising images

    Snoise is a command line tool for scaling and denoising images. Usage: snoise -i <input image> -o <output image> -s <scale amount> -d <denoise amount> -t Usage example: snoise -i in.jpg -o out.png -s 1.5 -d 10 Type "snoise -h" to display the help message.
    Downloads: 0 This Week
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  • 2
    ...Default Compression is 70% Default File Type is jpg Example Usage : /bin/bash smushme.sh -c 70 -f jpg OPTIONS: -h Show this message -f File Type -c Compression rate in Percentage -d Use default options -v Verbose NOTE: image magic needs to be installed for this script to work
    Downloads: 0 This Week
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  • 3
    Amoeba is an implemenatation of a research paper titled "Fast and Accurate Edge-Based Segmentation with No Contour Smoothing in 2-D Real Images" (IEEE tran on Image Processing, July 2000).This is a completed work, hence no promises for support ;)
    Downloads: 0 This Week
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  • 4

    cl-jpeg

    JPEG encoder implementation using OpenCL

    ...Look at "Debunking the 100X GPU vs. CPU Myth: An Evaluation of Throughput Computing on CPU and GPU" paper by Victor W Lee, Changkyu Kim, Jatin Chhugani, Michael Deisher, Daehyun Kim, Anthony D. Nguyen, Nadathur Satish, Mikhail Smelyanskiy, Srinivas Chennupaty, Per Hammarlund, Ronak Singhal and Pradeep Dubey.
    Downloads: 0 This Week
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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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