Google AutoML Tables vs Theano: What are the differences?

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; Theano: Define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C impleme.

Google AutoML Tables and Theano can be primarily classified as "Machine Learning" tools.

Theano is an open source tool with 8.83K GitHub stars and 2.49K GitHub forks. Here's a link to Theano's open source repository on GitHub.