Need advice about which tool to choose?Ask the StackShare community!
Leaf vs Polyaxon: 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; Polyaxon: An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications. An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.
Leaf and Polyaxon can be primarily classified as "Machine Learning" tools.
Leaf is an open source tool with 5.4K GitHub stars and 270 GitHub forks. Here's a link to Leaf's open source repository on GitHub.
Pros of Leaf
Pros of Polyaxon
- Cli2
- API2
- Streamlit integration2
- Python Client2
- Notebook integration2
- Tensorboard integration2
- VSCode integration2