example-get-started
cml_dvc_case
example-get-started | cml_dvc_case | |
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2 | 1 | |
167 | 18 | |
0.0% | - | |
4.0 | 0.0 | |
13 days ago | 6 months ago | |
Python | Python | |
- | - |
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.
example-get-started
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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.
cml_dvc_case
What are some alternatives?
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
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
pygame_tutorials - Code to go along with lessons at http://kidscancode.org/lessons
dvc - 🦉 ML Experiments and Data Management with Git
simple-fastapi-chat - Simple FastAPI chat with multinode suppor
ZnTrack - Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.
cml-streamlit-template - A Template Repository for Continuous Machine Learning Project with GitHub Actions and display it live with deployment on Streamlit
Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
write-docker-actions