Amazon SageMaker vs Weights & Biases

Overview

Amazon SageMaker

Stacks293

Followers284

Votes0

Weights & Biases

Stacks8

Followers3

Votes0

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Detailed Comparison

Amazon SageMaker	Weights & Biases
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.	It is the machine learning platform for developers to build better models faster. Use W&B's lightweight, interoperable tools to quickly track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results and spot regressions, and share findings with colleagues.
Build: managed notebooks for authoring models, built-in high-performance algorithms, broad framework support; Train: one-click training, authentic model tuning; Deploy: one-click deployment, automatic A/B testing, fully-managed hosting with auto-scaling	Track, compare, and visualize ML experiments with 5 lines of code. Free for academic and open source projects; Visualize seamlessly; Collaborate in real time
Statistics
Stacks 293	Stacks 8
Followers 284	Followers 3
Votes 0	Votes 0
Integrations
Amazon EC2 TensorFlow	Keras PyTorch TensorFlow scikit-learn XGBoost

What are some alternatives to Amazon SageMaker, Weights & Biases?

NanoNets

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GraphLab Create

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BigML

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Tinker

Is a training API for researchers and developers.

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Azure Machine Learning

Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

Amazon Machine Learning

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