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Leaf vs Xcessiv: 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; Xcessiv: Fully managed web application for automated machine learning. A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Leaf and Xcessiv can be categorized as "Machine Learning" tools.
Leaf and Xcessiv are both open source tools. Leaf with 5.4K GitHub stars and 270 forks on GitHub appears to be more popular than Xcessiv with 1.19K GitHub stars and 95 GitHub forks.