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...In general, we try to hide tensors so the API can be used by non-machine learning experts. New models should have a test NPM script. You can run the unit tests for any of the models by running "yarn test" inside a directory. Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Build and train models directly in JavaScript using flexible and intuitive APIs. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js.

Nmdepend is a lightweight 'link-time' dependency analyzer for C++. It uses object files and libraries instead of source-code as input. It can help to manage 'cross-directory' dependencies. Dependencies can be visualized in combination with Graphviz.

XMLas is a tool for binding xml definitions to an actionscript 1.0 object structure. Data validation happens through the xml examples in the xml/ directory. It can be used for: 1. application prototyping 2. rapid application development 3. easily handlin