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Leaf vs Gradio: What are the differences?
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.
What is Gradio? *GUIs for Faster ML Prototyping and Sharing *. It allows you to quickly create customizable UI components around your TensorFlow or PyTorch models, or even arbitrary Python functions. Mix and match components to support any combination of inputs and outputs.
Leaf and Gradio can be primarily classified 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.
