example-get-started
dataset-registry
| example-get-started | dataset-registry | |
|---|---|---|
| 2 | 1 | |
| 167 | 62 | |
| 0.0% | - | |
| 4.0 | 4.5 | |
| 13 days ago | 3 days ago | |
| 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.
dataset-registry
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Adding Data to Build a More Generic Model
$ dvc get https://github.com/iterative/dataset-registry blog/cats-dogs
What are some alternatives?
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
Hello-Kaggle - For someone who is new at Kaggle
PyDrive2 - Google Drive API Python wrapper library. Maintained fork of PyDrive.
datasets-for-good - List of datasets to apply stats/machine learning/technology to the world of social good.
cml_dvc_case
vscode-dvc - Machine learning experiment tracking and data versioning with DVC extension for VS Code
dvc - 🦉 ML Experiments and Data Management with Git
pretrained-model-demo
ZnTrack - Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.
cml - ♾️ CML - Continuous Machine Learning | CI/CD for ML
Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.