ML Visualization IDE vs Caffe: What are the differences?

ML Visualization IDE: Make powerful, interactive machine learning visualizations. Debug your machine learning models in realtime with powerful, interactive visualizations Quickly log charts from your Python script, visualize your model development in live dashboards, and share interactive plots with your team, in just 2 minutes.; Caffe: A deep learning framework. It is a deep learning framework made with expression, speed, and modularity in mind.

ML Visualization IDE and Caffe can be categorized as "Machine Learning" tools.

Some of the features offered by ML Visualization IDE are:

• Powerful, interactive visualizations
• Quickly log charts
• Visualize your model development in live dashboards

On the other hand, Caffe provides the following key features:

• Extensible code
• Speed
• Community

Caffe is an open source tool with 31K GitHub stars and 18.6K GitHub forks. Here's a link to Caffe's open source repository on GitHub.