Showing 3 open source projects for "windows scripts"

View related business solutions
  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
    Start Free
  • 1
    almond

    almond

    A Scala kernel for Jupyter

    Almond already supports code navigation in dependencies via meta browse, paving the way for more IDE-like features and closer integration with the Scalameta ecosystem. Ammonite is a modern and user-friendly Scala shell. Almond wraps it in a Jupyter kernel, giving you all its features and niceties, including customizable pretty-printing, magic imports, advanced dependency handling, and its API, right from Jupyter. This also makes it easy to copy some code from notebooks to Ammonite scripts,...
    Downloads: 5 This Week
    Last Update:
    See Project
  • 2
    exGENT 64 bit  Linux Live System

    exGENT 64 bit Linux Live System

    exGENT Live System is - as the name suggests - based on Gentoo Linux

    exGENT version 240201/240125 Linux Live System is - as the name suggest - based on Gentoo Linux. The best thing with exGENT is the premier auto detection of hardware and the ability to relatively easy install the system to hard drive during a live session. (Calamares Installer). LXQt 1.4 is used as Desktop environment. Used kernel: 6.7.1/6.1.67. exGENT runs on all "normal" and fairly new computers. They run very well also in VirtualBox/VMware. INSTALLATION The systems can easily be...
    Downloads: 69 This Week
    Last Update:
    See Project
  • 3
    BlockSparse

    BlockSparse

    Efficient GPU kernels for block-sparse matrix multiplication

    The blocksparse repository provides efficient GPU kernels (TensorFlow custom ops) for block-sparse matrix multiplication and convolution operations. The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB