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Load test your blockchain application by submitting a large number of enroll, invoke, and query requests, then viewing the results in MongoDB.
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Use IBM Watson Discovery, CloudantDB, Node.js, and Alpha Vantage to create a web app to monitor sentiment, price, and news for individually listed stocks.
This code pattern provides an Angular 5 and Node.js demo app that demonstrates IBM Dynamic Dashboard Embedded, an IBM Cloud service for visualizations.
Visualize statistics about taxi rides while the event data is streamed from an external program.
Build training and prediction apps with Java, Watson IoT Platform, Node-RED, and Watson Visual Recognition service.
Create an app that combines ARKit with Watson Visual Recognition and a Cloudant database to give you a complete augmented reality experience.
Build a custom model to better categorize SMS message content using Watson Knowledge Studio and Watson Natural Language Understanding.
Create an iOS phone application that uses a Watson Visual Recognition custom classifier to sort waste into three categories (landfill, recycling, or compost).
Built for developers who are interested in learning how to deploy a React application on Kubernetes, this code pattern uses the React and Redux framework and calls the OMDb API to look up movie information based on user input. This pattern can be built and run on both Docker and Kubernetes.
Walk through a working example of a web application that queries and manipulates data from the Watson Discovery Service. Use Watson Knowledge Studio to enhance the data enrichments, and then use the app's UI components as a starting point for developing your own Watson Discovery Service applications.
Train a deep learning language model in a notebook using Keras and Tensorflow.
Deploy and consume a deep learning platform on Kubernetes, offering TensorFlow, Caffe, PyTorch etc. as a service.
With Core ML, developers can integrate a trained machine learning model into an application. Watson Visual Recognition now supports exporting trained Core ML models. This code pattern shows you how to create a Core ML model using Watson Visual Recognition, which is then bundled into an application.
Learn how to use the Watson Salesforce SDK to make calls to Watson Visual Recognition, Watson Discovery, and Watson Tone Analyzer APIs.
In this code pattern, we demonstrate how to utilize IBM Cloud Functions with OAuth 2 to enable the authentication and authorization in a web app.
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