demo-bank-customer-churn
Demo DVC project training a classification model on tabular data (by iterative)
example-get-started
Get started DVC project (NLP, random forest) (by iterative)
demo-bank-customer-churn | example-get-started | |
---|---|---|
1 | 2 | |
30 | 167 | |
- | 0.0% | |
-18.7 | 4.0 | |
11 months ago | 2 days ago | |
Jupyter Notebook | Python | |
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.
demo-bank-customer-churn
Posts with mentions or reviews of demo-bank-customer-churn.
We have used some of these posts to build our list of alternatives
and similar projects.
example-get-started
Posts with mentions or reviews of example-get-started.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-27.
-
VS Code extension to track ML experiments
Or open this project https://github.com/iterative/example-get-started in GitHub Codespaces as an example. It will run the extension in Codespaces automatically.
-
Tuning Hyperparameters with Reproducible Experiments
We're going to be working with an existing NLP project. You can get the code we're working with in this repo. It already has DVC set up, but you can check out the Get Started docs if you want to know how the DVC pipeline was created.
What are some alternatives?
When comparing demo-bank-customer-churn and example-get-started you can also consider the following projects:
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
PyDrive2 - Google Drive API Python wrapper library. Maintained fork of PyDrive.
cml_dvc_case
dataset-registry - Dataset registry DVC project
dvc - 🦉 ML Experiments and Data Management with Git
ZnTrack - Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.
Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.