4
16
+ 1
0

What is AutoGluon?

It automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy deep learning models on image, text, and tabular data.
AutoGluon is a tool in the Machine Learning Tools category of a tech stack.
AutoGluon is an open source tool with 2.7K GitHub stars and 342 GitHub forks. Here’s a link to AutoGluon's open source repository on GitHub

Who uses AutoGluon?

Developers
4 developers on StackShare have stated that they use AutoGluon.

AutoGluon Integrations

AutoGluon's Features

  • Quickly prototype deep learning solutions for your data with few lines of code
  • Leverage automatic hyperparameter tuning, model selection / architecture search, and data processing
  • Automatically utilize state-of-the-art deep learning techniques without expert knowledge
  • Easily improve existing bespoke models and data pipelines, or customize AutoGluon for your use-case

AutoGluon Alternatives & Comparisons

What are some alternatives to AutoGluon?
XGBoost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
TensorFlow
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.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
PyTorch
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.
See all alternatives

AutoGluon's Followers
16 developers follow AutoGluon to keep up with related blogs and decisions.