3 projects for "generate" with 2 filters applied:

  • 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
  • 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.
    Try Free
  • 1
    Anime4K

    Anime4K

    Anime4K is an open-source, high-quality anime upscaling algorithm

    SISR algorithm designed to work with Japanese animation and cartoons to generate high-resolution images from a low-resolution input.
    Downloads: 14 This Week
    Last Update:
    See Project
  • 2
    TSP Solver and Generator

    TSP Solver and Generator

    Generate and solve Travelling Salesman Problem tasks

    ...The task can be saved in internal binary format and opened later. The result can be printed or saved as PDF, HTML, or ODF. TSPSG may be useful for teachers to generate test tasks or just for regular users to solve TSPs. Also, it may be used as an example of using Branch and Bound method to solve a particular task.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    PadotusRNDT.js

    PadotusRNDT.js

    This library allows you to generate a random number

    This library allows you to generate a random number in the specified range from 0 to n, without using the built-in function Math.random (), and gets a random number from the processing time of polymorphic mathematical calculations, which depends on the current physical parameters of the CPU, RAM, and t .P. The resulting sequence corresponds to a discrete uniform distribution and is close to natural random sequences in terms of statistical randomness tests (LFSR, Approximate Entropy, DIEHARD Test).
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next