Made-With-ML VS awesome-mlops

Compare Made-With-ML vs awesome-mlops and see what are their differences.

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Made-With-ML awesome-mlops
51 24
35,328 11,632
- -
6.8 4.9
4 months ago 17 days ago
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.

Made-With-ML

Posts with mentions or reviews of Made-With-ML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-25.

awesome-mlops

Posts with mentions or reviews of awesome-mlops. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-07.

What are some alternatives?

When comparing Made-With-ML and awesome-mlops you can also consider the following projects:

zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

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

mlops-zoomcamp - Free MLOps course from DataTalks.Club

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

kserve - Standardized Serverless ML Inference Platform on Kubernetes

Copulas - A library to model multivariate data using copulas.

ETCI-2021-Competition-on-Flood-Detection - Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

Awesome-Federated-Learning - FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

mlattacks - Machine Learning Attack Series

applied-ml - πŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.