Showing 2 open source projects for "g-code"

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  • Create state-of-the-art conversational agents with Google AI Icon
    Create state-of-the-art conversational agents with Google AI

    Using Dialogflow, you can provide new and engaging ways for users to interact with your product.

    Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.
  • Event Management Software Icon
    Event Management Software

    Ideal for conference and event planners, independent planners, associations, event management companies, non-profits, and more.

    YesEvents offers a comprehensive suite of services that spans the entire conference lifecycle and ensures every detail is executed with precision. Our commitment to exceptional customer service extends beyond conventional boundaries, consistently exceeding expectations and enriching both organizer and attendee experiences.
  • 1
    Diagrams

    Diagrams

    Diagram as Code for prototyping cloud system architectures

    Diagrams lets you draw the cloud system architecture in Python code. It was born for prototyping a new system architecture without any design tools. You can also describe or visualize the existing system architecture as well. Diagram as Code allows you to track the architecture diagram changes in any version control system. Diagrams currently support main major providers including AWS, Azure, GCP, Kubernetes, Alibaba Cloud, Oracle Cloud, etc. It also supports On-Premise nodes, SaaS and major...
    Downloads: 1 This Week
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  • 2
    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: 0 This Week
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