Kur vs Leaf: What are the differences?

What is Kur? Deep Learning Made Easy. Kur is a system for quickly building and applying state-of-the-art deep learning models to new and exciting problems. Kur was designed to appeal to the entire machine learning community, from novices to veterans.

What is 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.

Kur and Leaf belong to "Machine Learning Tools" category of the tech stack.

Kur and Leaf are both open source tools. It seems that Leaf with 5.4K GitHub stars and 270 forks on GitHub has more adoption than Kur with 793 GitHub stars and 108 GitHub forks.