MLOps VS mlflow-deployments

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

MLOps

End to End toy example of MLOps (by ashishtele)
Mlops Flask Heroku evidently mlflow dvc gihub-actions Python
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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)
Machine Learning mlflow Mlops
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santiagof.medium.com
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MLOps mlflow-deployments
1 1
7 15
- -
1.6 4.2
about 1 year ago 10 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
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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.

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?

What are some alternatives?

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

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

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

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

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 )

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

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

MLOps vs VevestaX mlflow-deployments vs VevestaX MLOps vs bodywork-pipeline-with-aporia-monitoring mlflow-deployments vs amazon-sagemaker-examples MLOps vs NLP-CNN-Subreddit-Sorter-Heroku-App mlflow-deployments vs Made-With-ML mlflow-deployments vs mlops-zoomcamp mlflow-deployments vs evidently