Aerosolve vs AWS DeepLens: What are the differences?

What is Aerosolve? A machine learning package built for humans (created by Airbnb). This library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or pricing (number of rooms, location, price). It is not as interpretable with problems with very dense non-human interpretable features such as raw pixels or audio samples.

What is AWS DeepLens? Deep learning enabled video camera for developers. It helps put machine learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.

Aerosolve and AWS DeepLens belong to "Machine Learning Tools" category of the tech stack.

Some of the features offered by Aerosolve are:

• A thrift based feature representation that enables pairwise ranking loss and single context multiple item representation.
• A feature transform language gives the user a lot of control over the features
• Human friendly debuggable models

On the other hand, AWS DeepLens provides the following key features:

• A new way to learn machine learning
• Custom built for deep learning
• Build custom models with Amazon SageMaker

Aerosolve is an open source tool with 4.66K GitHub stars and 581 GitHub forks. Here's a link to Aerosolve's open source repository on GitHub.