mlflow-deployments VS MLOps

Compare mlflow-deployments vs MLOps and see what are their differences.

mlflow-deployments

Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deploy them in production later. (by santiagxf)
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mlflow-deployments MLOps
1 1
15 7
- -
4.2 1.6
10 months 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.

mlflow-deployments

Posts with mentions or reviews of mlflow-deployments. We have used some of these posts to build our list of alternatives and similar projects.
  • model can't be registered on MLFLOW
    1 project | /r/mlflow | 8 Oct 2022
    I tried to save and register the transformer model on mlflow, I followed this [example], and the model is successfully saved at the Artifact for the current run. However, it can't be registered to the model registry. Any idea why?

MLOps

Posts with mentions or reviews of MLOps. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-17.

What are some alternatives?

When comparing mlflow-deployments and MLOps you can also consider the following projects:

VevestaX - 2 Lines of code to track ML experiments + EDA + check into Github

amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

bodywork-pipeline-with-aporia-monitoring - Integrating Aporia ML model monitoring into a Bodywork serving pipeline.

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

NLP-CNN-Subreddit-Sorter-Heroku-App - End-to-end development of an application using a convolutional neural network that suggests to users/moderators which technical subreddit a post actually belongs to. Novel method to determine # of CNN filters. Custom Word2vec embeddings. The subreddits chosen are all technical and similar, and benefit users/moderators interested in data science and related fields. (Exploratory data analysis, feature engineering, custom word2vec embeddings, convolutional neural network, deployment via flask to Heroku )

mlops-zoomcamp - Free MLOps course from DataTalks.Club

evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b