Showing 2 open source projects for "data quality cleansing"

View related business solutions
  • 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.
    Start 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.
    Start Free
  • 1
    KherveTeX

    KherveTeX

    Visual LaTeX editor: edit like Word, output like LaTeX, track with Git

    KherveTeX is a document editor that produces real LaTeX and tracks every change with Git — giving you the ease of a word processor and the typesetting quality of LaTeX, without ever touching a .tex file by hand. Write documents visually with familiar formatting tools. KherveTeX maintains a clean document model and serializes it to LaTeX, then compiles to PDF via the bundled Tectonic engine — no external LaTeX installation required. The PDF preview updates as you work. Every save is an...
    Downloads: 6 This Week
    Last Update:
    See Project
  • 2
    GloVe

    GloVe

    GloVe model for distributed word representation

    ...The demo.sh script downloads a small corpus, consisting of the first 100M characters of Wikipedia. It collects unigram counts, constructs and shuffles cooccurrence data, and trains a simple version of the GloVe model. It also runs a word analogy evaluation script in python to verify word vector quality.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next