TensorFlow Deployment : A collection of tensorflow use case and infrastructure associated deployment patterns. Each example comes with code and often a ready to run docker image.
Aethos : an interesting project where the authors designed a library/platform to automates data science and analytical tasks at any stage in the pipeline. They offer a uniform API for automating analytical techniques from various libraries such as pandas, sci-kit learn, gensim, etc. It's still work in progress but has some potential.
Comixify: Transform video into a comics with the power of machine learning. This is a really cool concept and the results are surprisingly good.
A Storm in an IoT Cup : the authors look at the emergence of social machines where human interactions and relationship is made increasingly more complex with the rapid adoption of the Internet of Things.
Baker : a library by ING bank that aims at reducing the efforts to orchestrate (micro)services process flows. The objective is to bring everybody from the product owners, architects and developers to talk the same language by relying on a unique service based processed workflow. While in itself it is not revolutionary. The DSL principle allows greater reusability of microservices as well as facilitating the comprehension and review of complex workflows.
