Leaf vs PredictionIO
Overview
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Detailed Comparison
PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery. | 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. |
Integrated with state-of-the-art machine learning algorithms. Fine-tune, evaluate and implement them scientifically.;Customize the modularized open codebase to fulfill any unique prediction requirement.;Built on top of scalable frameworks such as Hadoop and Cascading. Ready to handle data of any scale.;Build powerful features in minutes, not months. Streamline the data engineering process. | - |
Statistics | |
GitHub Stars - | GitHub Stars 5.5K |
GitHub Forks - | GitHub Forks 269 |
Stacks 67 | Stacks 18 |
Followers 110 | Followers 42 |
Votes 8 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to PredictionIO, Leaf?
TensorFlow
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scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
PyTorch
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Keras
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Kubeflow
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TensorFlow.js
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Polyaxon
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Streamlit
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MLflow
MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
H2O
H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.
