Theano vs Continuous Machine Learning: What are the differences?
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); Continuous Machine Learning: CI/CD for Machine Learning Projects. Continuous Machine Learning (CML) is an open-source library for implementing continuous integration & delivery (CI/CD) in machine learning projects. Use it to automate parts of your development workflow, including model training and evaluation, comparing ML experiments across your project history, and monitoring changing datasets.
Theano and Continuous Machine Learning belong to "Machine Learning Tools" category of the tech stack.
Theano is an open source tool with 9.18K GitHub stars and 2.51K GitHub forks. Here's a link to Theano's open source repository on GitHub.