Showing 2 open source projects for "algorithm"

View related business solutions
  • 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.
    Try Free
  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    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.
    Try It Free
  • 1
    Instagram CLI

    Instagram CLI

    Become a 10x Instagrammer and Escape Brainrot with Instagram CLI

    ...We all know the cycle — and we finally had enough. What if Instagram had a quick fix? A productivity-friendly mode that keeps your connections, but gives your attention span a fighting chance? No algorithm traps. No reel vortex. No dopamine casino. Just conversations and updates, on your terms. Instagram CLI is a minimal, fast, keyboard-native way to stay connected without getting cooked by social media.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    lzhw

    lzhw

    LZHW Windows command line lossless compression tool for tabular files

    LZHW Command Line Lossless Compression Tool is a Windows command line tool used to compress and decompress files from and to any form, csv, excel etc without any dependencies or installations. Using an optimized algorithm (LZHW) developed from Lempel-Ziv, Huffman and LZ-Welch algorithms. The tool can work in parallel and most of its code is written in Cython, so it is pretty fast. It is based on python lzhw library. Full tool documentation can be found at: https://mnoorfawi.github.io/lzhw/6%20Using%20the%20lzhw%20command%20line%20tool/ While the documentation for the python library is at: https://mnoorfawi.github.io/lzhw/
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next