mlops-zoomcamp VS 20220726_Databricks_Demo_Transfer_Learning_with_MLflow

Compare mlops-zoomcamp vs 20220726_Databricks_Demo_Transfer_Learning_with_MLflow and see what are their differences.

20220726_Databricks_Demo_Transfer_Learning_with_MLflow

We will go hands-on with an image classification demo using transfer learning, while leveraging MLflow to track our model experiments on Databricks (by feifeiwww)
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mlops-zoomcamp 20220726_Databricks_Demo_Transfer_Learning_with_MLflow
23 1
8,778 6
2.8% -
7.5 4.7
20 days ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
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mlops-zoomcamp

Posts with mentions or reviews of mlops-zoomcamp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-12.

20220726_Databricks_Demo_Transfer_Learning_with_MLflow

Posts with mentions or reviews of 20220726_Databricks_Demo_Transfer_Learning_with_MLflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-10.
  • Where do I start to learn MLOPS?
    6 projects | /r/mlops | 10 Aug 2022
    At FourthBrain we've recently been hosting a number of public events that try to help guide you step-by-step with code along the path of best practices in MLOps, including one with Hugging Face on end-to-end MLOps (GitLab code here) and one with Databricks on model version control with MLflow (GitHub code here).

What are some alternatives?

When comparing mlops-zoomcamp and 20220726_Databricks_Demo_Transfer_Learning_with_MLflow you can also consider the following projects:

data-engineering-zoomcamp - Free Data Engineering course!

software-dev-for-mlops-101 - Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.

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

fake-s3 - A lightweight server clone of Amazon S3 that simulates most of the commands supported by S3 with minimal dependencies

mlbookcamp-code - The code from the Machine Learning Bookcamp book

awesome-mlops - A curated list of references for MLOps

huggingface-demos

you-dont-need-a-bigger-boat - An end-to-end implementation of intent prediction with Metaflow and other cool tools

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.