Showing 1 open source project for "artificial intelligence java source code"

View related business solutions
  • Rev Your Digital Product Delivery Engine Icon
    Rev Your Digital Product Delivery Engine

    Enterprise-grade platform designed to connect strategy, planning, and execution across digital product development and software delivery

    Planview links your technology vision directly to teams' daily work, providing complete visibility and control over your digital product delivery ecosystem.
    Learn More
  • Attack Surface Management | Criminal IP ASM Icon
    Attack Surface Management | Criminal IP ASM

    For security operations, threat-intelligence and risk teams wanting a tool to get access to auto-monitored assets exposed to attack surfaces

    Criminal IP’s Attack Surface Management (ASM) is a threat-intelligence–driven platform that continuously discovers, inventories, and monitors every internet-connected asset associated with an organization, including shadow and forgotten resources, so teams see their true external footprint from an attacker’s perspective. The solution combines automated asset discovery with OSINT techniques, AI enrichment and advanced threat intelligence to surface exposed hosts, domains, cloud services, IoT endpoints and other Internet-facing vectors, capture evidence (screenshots and metadata), and correlate findings to known exploitability and attacker tradecraft. ASM prioritizes exposures by business context and risk, highlights vulnerable components and misconfigurations, and provides real-time alerts and dashboards to speed investigation and remediation.
    Learn More
  • 1
    PML

    PML

    The easiest way to use deep metric learning in your application

    This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. The TripletMarginLoss computes all possible triplets within the batch, based on the labels you...
    Downloads: 7 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB