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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.
    Try it free
  • The CRM you’ll want to use every day Icon
    The CRM you’ll want to use every day

    With CRM, Sales, and Marketing Automation in one, Act! gives you everything you need for happier clients, more revenue, and less stress.

    Act! Premium is perfect for small and midsize businesses looking to market better, sell more, and create customers for life. With unparalleled flexibility and freedom of choice, Act! Premium accommodates the unique ways you do business. Whether it’s customizations to fit your specific business or industry processes or your preferences for deployment and access, the possibilities with Act! Premium are limitless.
    Learn More
  • 1
    TenorSpace.js

    TenorSpace.js

    Neural network 3D visualization framework

    TensorSpace is a neural network 3D visualization framework built using TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. From TensorSpace, it is intuitive to learn what the model structure is, how the model is trained and how the model predicts the results based on the intermediate information. After preprocessing the model, TensorSpace supports the visualization...
    Downloads: 0 This Week
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  • 2
    Keras.js

    Keras.js

    Run Keras models in the browser, with GPU support using WebGL

    Run Keras models in the browser, with GPU support provided by WebGL 2. Models can be run in Node.js as well, but only in CPU mode. Because Keras abstracts away a number of frameworks as backends, the models can be trained in any backend, including TensorFlow, CNTK, etc. Check out the demos/ directory for real examples running Keras.js in VueJS. Library version compatibility, Keras 2.1.2.
    Downloads: 0 This Week
    Last Update:
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