software-dev-for-mlops-101
Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners. (by FourthBrain)
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)
| software-dev-for-mlops-101 | 20220726_Databricks_Demo_Transfer_Learning_with_MLflow | |
|---|---|---|
| 1 | 1 | |
| 230 | 6 | |
| 0.4% | - | |
| 3.8 | 4.7 | |
| 9 months ago | almost 2 years 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.
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.
software-dev-for-mlops-101
Posts with mentions or reviews of software-dev-for-mlops-101.
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?
Depending on how familiar you are with Git and CLI, you may not want to go straight to an IDE like VSCode, and use a simpler setup like this.
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?
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 software-dev-for-mlops-101 and 20220726_Databricks_Demo_Transfer_Learning_with_MLflow you can also consider the following projects:
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
mlops-zoomcamp - Free MLOps course from DataTalks.Club
fake-s3 - A lightweight server clone of Amazon S3 that simulates most of the commands supported by S3 with minimal dependencies
huggingface-demos
software-dev-for-mlops-101 vs Made-With-ML
20220726_Databricks_Demo_Transfer_Learning_with_MLflow vs mlops-zoomcamp
software-dev-for-mlops-101 vs mlops-zoomcamp
20220726_Databricks_Demo_Transfer_Learning_with_MLflow vs Made-With-ML
software-dev-for-mlops-101 vs fake-s3
20220726_Databricks_Demo_Transfer_Learning_with_MLflow vs fake-s3
software-dev-for-mlops-101 vs huggingface-demos