fake-s3 VS 20220726_Databricks_Demo_Transfer_Learning_with_MLflow

Compare fake-s3 vs 20220726_Databricks_Demo_Transfer_Learning_with_MLflow and see what are their differences.

fake-s3

A lightweight server clone of Amazon S3 that simulates most of the commands supported by S3 with minimal dependencies (by jubos)

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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fake-s3 20220726_Databricks_Demo_Transfer_Learning_with_MLflow
3 1
2,940 6
- -
0.0 4.7
about 1 year ago almost 2 years ago
Ruby Jupyter Notebook
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fake-s3

Posts with mentions or reviews of fake-s3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-10.

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 fake-s3 and 20220726_Databricks_Demo_Transfer_Learning_with_MLflow you can also consider the following projects:

LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

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

userbase - Create secure and private web apps using only static JavaScript, HTML, and CSS.

mlops-zoomcamp - Free MLOps course from DataTalks.Club

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

Moto - A library that allows you to easily mock out tests based on AWS infrastructure.