Aerosolve vs Pythia: 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 Pythia? Framework for vision and language multimodal research. A modular framework for supercharging vision and language research built on top of PyTorch.
Aerosolve and Pythia can be primarily classified 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, Pythia provides the following key features:
- Model Zoo
- Datasets: Includes support for various datasets built-in including VQA, VizWiz, TextVQA and VisualDialog
Aerosolve and Pythia are both open source tools. It seems that Aerosolve with 4.58K GitHub stars and 578 forks on GitHub has more adoption than Pythia with 2.6K GitHub stars and 310 GitHub forks.