Showing 2 open source projects for "self code"

View related business solutions
  • Build Secure Enterprise Apps Fast with Retool Icon
    Build Secure Enterprise Apps Fast with Retool

    Stop wasting engineering hours. Build secure, production-grade apps that connect directly to your company’s SQL and APIs.

    Create internal software that meets enterprise security standards. Retool connects to your business data—databases, APIs, and vector stores while ensuring compliance with granular permissions and audit logs. Whether on our cloud or self-hosted, build the dashboards and admin panels your organization needs without compromising on security or control.
    Learn More
  • Find Hidden Risks in Windows Task Scheduler Icon
    Find Hidden Risks in Windows Task Scheduler

    Free diagnostic script reveals configuration issues, error patterns, and security risks. Instant HTML report.

    Windows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
    Download Free Tool
  • 1
    Recommenders

    Recommenders

    Best practices on recommendation systems

    ...Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several state-of-the-art algorithms are included for self-study and customization in your own applications. Please see the setup guide for more details on setting up your machine locally, on a data science virtual machine (DSVM) or on Azure Databricks. Independent or incubating algorithms and utilities are candidates for the contrib folder. This will house contributions which may not easily fit into the core repository or need time to refactor or mature the code and add necessary tests.
    Downloads: 18 This Week
    Last Update:
    See Project
  • 2
    Data Science Notes

    Data Science Notes

    Curated collection of data science learning materials

    Data Science Notes is a large, curated collection of data science learning materials, with explanations, code snippets, and structured notes across the typical end-to-end workflow. It spans foundational math and statistics through data wrangling, visualization, machine learning, and practical project organization. The content emphasizes hands-on understanding by pairing narrative notes with runnable examples, making it useful for both self-study and classroom settings. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next