1 project for "data" with 2 filters applied:

  • Easily Host LLMs and Web Apps on Cloud Run Icon
    Easily Host LLMs and Web Apps on Cloud Run

    Run everything from popular models with on-demand NVIDIA L4 GPUs to web apps without infrastructure management.

    Run frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.
    Try Cloud Run Free
  • Build AI Apps with Gemini 3 on Vertex AI Icon
    Build AI Apps with Gemini 3 on Vertex AI

    Access Google’s most capable multimodal models. Train, test, and deploy AI with 200+ foundation models on one platform.

    Vertex AI gives developers access to Gemini 3—Google’s most advanced reasoning and coding model—plus 200+ foundation models including Claude, Llama, and Gemma. Build generative AI apps with Vertex AI Studio, customize with fine-tuning, and deploy to production with enterprise-grade MLOps. New customers get $300 in free credits.
    Try Vertex AI Free
  • 1
    ansvif

    ansvif

    An advanced cross platform fuzzing framework suited to find code bugs.

    ansvif, or A Not So Very Intelligent Fuzzer, suited to find bugs in code by throwing garbage arguments, files, and environment variables at the target program, that you may or may not have the source code to. It supports many features, such as buffer size, randomization of the buffer size, random data injection, templates, and much more. The purpose of this project is to identify bugs in software, specifically bugs that can induce a segmentation fault under various conditions. This aids security researchers in writing buffer overflows, input validation vulnerabilities, as well as helping one audit code for general logic mistakes.
    Downloads: 0 This Week
    Last Update:
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