AutoGluon vs Microsoft Cognitive Toolkit

Microsoft Cognitive Toolkit vs AutoGluon: What are the differences?

Developers describe Microsoft Cognitive Toolkit as "An open-source toolkit for deep learning". It is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. On the other hand, AutoGluon is detailed as "*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.

Microsoft Cognitive Toolkit and AutoGluon can be categorized as "Machine Learning" tools.

Some of the features offered by Microsoft Cognitive Toolkit are:

• Speed & Scalability
• Commercial-Grade Quality
• Easy-to-use architecture

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

Microsoft Cognitive Toolkit and AutoGluon are both open source tools. Microsoft Cognitive Toolkit with 16.6K GitHub stars and 4.41K forks on GitHub appears to be more popular than AutoGluon with 1.72K GitHub stars and 193 GitHub forks.