Aerosolve vs cnvrg.io

Aerosolve vs cnvrg.io: 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 cnvrg.io? An end-to-end machine learning platform to build and deploy AI models at scale. It is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built by data scientists, for data scientists and offers unrivaled flexibility to run on-premise or cloud.

Aerosolve and cnvrg.io 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, cnvrg.io provides the following key features:

• Machine Learning Pipelines
• AI Library
• Open Compute

Aerosolve is an open source tool with 4.65K GitHub stars and 580 GitHub forks. Here's a link to Aerosolve's open source repository on GitHub.