Reactors VS aws-ml-guide

Compare Reactors vs aws-ml-guide and see what are their differences.

Reactors

🌱 Join a community of developers at Microsoft Reactor and connect with people, skills, and technology to build your career or personal learning. We offer free livestreams, on-demand content, and hybrid/in-person events daily around the world. Access our projects and code here. (by microsoft)

aws-ml-guide

[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide (by noahgift)
InfluxDB - Power Real-Time Data Analytics at Scale
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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Reactors aws-ml-guide
3 1
507 118
1.0% -
0.0 0.0
19 days ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Reactors

Posts with mentions or reviews of Reactors. We have used some of these posts to build our list of alternatives and similar projects.

aws-ml-guide

Posts with mentions or reviews of aws-ml-guide. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Reactors and aws-ml-guide you can also consider the following projects:

PayrollEngine - Framework for developing low-code/no-code payroll solutions focused on automation, scalability and testability.

practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book

Akka Tracing - A distributed tracing extension for Akka. Provides integration with Play framework, Spray and Akka HTTP.

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

talks - Talks at Python Delhi User Group!

fastai - The fastai deep learning library

handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.