cml_dvc_case
By iterative
example-get-started
Get started DVC project (NLP, random forest) (by iterative)
cml_dvc_case | example-get-started | |
---|---|---|
1 | 3 | |
17 | 179 | |
- | 0.0% | |
0.0 | 3.7 | |
over 1 year ago | 11 months ago | |
Python | Python | |
- | - |
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.
cml_dvc_case
Posts with mentions or reviews of cml_dvc_case.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-08.
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 2024-11-13.
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20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
DVC can be described as the Git for your data science project. Data Version Control is a version control application that manages and tracks changes to data, ML models, and experiments. This way, you can keep your Git repository lightweight while ensuring your project can be reproduced at any point with the right data version. This is pretty similar to how Git tracks your code changes.
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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.
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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 cml_dvc_case and example-get-started you can also consider the following projects:
leaky-repo - Benchmarking repo for secrets scanning
PyDrive2 - Google Drive API Python wrapper library. Maintained fork of PyDrive.
ElementaryPython - Python application template for elementary OS.
dataset-registry - Dataset registry DVC project
simple-fastapi-chat - Simple FastAPI chat with multinode suppor
ZnTrack - Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.