Leaf vs AWS DeepLens: What are the differences?

Leaf: Machine learning framework in Rust. Leaf is a Machine Intelligence Framework engineered by software developers, not scientists. It was inspired by the brilliant people behind TensorFlow, Torch, Caffe, Rust and numerous research papers and brings modularity, performance and portability to deep learning. Leaf is lean and tries to introduce minimal technical debt to your stack; AWS DeepLens: Deep learning enabled video camera for developers. It helps put machine learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.

Leaf and AWS DeepLens can be categorized as "Machine Learning" tools.

Leaf is an open source tool with 5.43K GitHub stars and 274 GitHub forks. Here's a link to Leaf's open source repository on GitHub.