Aerosolve vs Caffe2: 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 Caffe2? Open Source Cross-Platform Machine Learning Tools (by Facebook). Caffe2 is deployed at Facebook to help developers and researchers train large machine learning models and deliver AI-powered experiences in our mobile apps. Now, developers will have access to many of the same tools, allowing them to run large-scale distributed training scenarios and build machine learning applications for mobile.

Aerosolve and Caffe2 can be primarily classified as "Machine Learning" tools.

Aerosolve and Caffe2 are both open source tools. It seems that Caffe2 with 8.46K GitHub stars and 2.13K forks on GitHub has more adoption than Aerosolve with 4.58K GitHub stars and 578 GitHub forks.