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A machine learning package built for humans (created by Airbnb)

What is Aerosolve?

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.
Aerosolve is a tool in the Machine Learning Tools category of a tech stack.
Aerosolve is an open source tool with 4.6K GitHub stars and 578 GitHub forks. Here’s a link to Aerosolve's open source repository on GitHub

Who uses Aerosolve?


12 developers on StackShare have stated that they use Aerosolve.

Why developers like Aerosolve?

Here’s a list of reasons why companies and developers use Aerosolve
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Aerosolve's Features

  • 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
  • Separate lightweight Java inference code
  • Scala code for training
  • Simple image content analysis code suitable for ordering or ranking images

Aerosolve Alternatives & Comparisons

What are some alternatives to Aerosolve?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
ML Kit
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
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Aerosolve's Stats

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Aerosolve's Followers
43 developers follow Aerosolve to keep up with related blogs and decisions.
Yury Buldakov
Kiran Yenni
Dan Romescu
Ayush Kumar