Awesome-Federated-Learning VS awesome-federated-learning

Compare Awesome-Federated-Learning vs awesome-federated-learning and see what are their differences.

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Awesome-Federated-Learning awesome-federated-learning
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1,848 517
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0.0 0.0
over 1 year ago over 1 year ago
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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.

Awesome-Federated-Learning

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

We haven't tracked posts mentioning Awesome-Federated-Learning yet.
Tracking mentions began in Dec 2020.

awesome-federated-learning

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

What are some alternatives?

When comparing Awesome-Federated-Learning and awesome-federated-learning you can also consider the following projects:

autogluon - Fast and Accurate ML in 3 Lines of Code

personal-security-checklist - 🔒 A compiled checklist of 300+ tips for protecting digital security and privacy in 2024

awesome-mlops - A curated list of references for MLOps

openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.

awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

degoogle - A huge list of alternatives to Google products. Privacy tips, tricks, and links.

ben-decentralized-chatbot - YC Hackathon 2018 Winner Project. BEN: A decentralized chatbot that uses federated learning.

PySyft - Perform data science on data that remains in someone else's server

tinyml-papers-and-projects - This is a list of interesting papers and projects about TinyML.

Aweome-Heathcare-Federated-Learning - A curated list of Federated Learning papers/articles and recent advancements.