Aerosolve vs Microsoft Cognitive Toolkit

Aerosolve vs Microsoft Cognitive Toolkit: What are the differences?

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; Microsoft Cognitive Toolkit: An open-source toolkit for deep learning. It is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph.

Aerosolve and Microsoft Cognitive Toolkit can be categorized as "Machine Learning" tools.

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, Microsoft Cognitive Toolkit provides the following key features:

• Speed & Scalability
• Commercial-Grade Quality
• Easy-to-use architecture

Aerosolve and Microsoft Cognitive Toolkit are both open source tools. Microsoft Cognitive Toolkit with 16.3K GitHub stars and 4.34K forks on GitHub appears to be more popular than Aerosolve with 4.58K GitHub stars and 578 GitHub forks.