Keras vs AutoGluon: What are the differences?
What is Keras? Deep Learning library for Theano and TensorFlow. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/.
What is AutoGluon? *AutoML Toolkit for Deep Learning *. 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.
Keras and AutoGluon can be primarily classified as "Machine Learning" tools.
Some of the features offered by Keras are:
- neural networks API
- Allows for easy and fast prototyping
- Convolutional networks support
On the other hand, AutoGluon provides the following key 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
Keras and AutoGluon are both open source tools. It seems that Keras with 46.5K GitHub stars and 17.6K forks on GitHub has more adoption than AutoGluon with 1.72K GitHub stars and 193 GitHub forks.
