Cortex.dev vs Google AutoML Tables

Google AutoML Tables vs Cortex.dev: What are the differences?

What is Google AutoML Tables? Automatically build and deploy machine learning models on structured data. Enables your entire team of data scientists, analysts, and developers to automatically build and deploy machine learning models on structured data at massively increased speed and scale.

What is Cortex.dev? Deploy machine learning models in production. It is an open source platform that takes machine learning models—trained with nearly any framework—and turns them into production web APIs in one command.

Google AutoML Tables and Cortex.dev belong to "Machine Learning Tools" category of the tech stack.

Some of the features offered by Google AutoML Tables are:

• Increases model quality
• Easy to build models
• Easy to deploy

On the other hand, Cortex.dev provides the following key features:

• Autoscaling
• Supports TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, and more
• CPU / GPU support

Cortex.dev is an open source tool with 1.42K GitHub stars and 69 GitHub forks. Here's a link to Cortex.dev's open source repository on GitHub.