example-get-started
PyDrive2
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example-get-started | PyDrive2 | |
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2 | 3 | |
167 | 532 | |
0.0% | 2.8% | |
0.0 | 7.4 | |
5 days ago | 10 days ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
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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.
PyDrive2
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Work with Google Drive files locally
PyDrive2 is am open-source python package maintained by the awesome people at Iterative. And it is very easy to install:
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[advice needed] moving files from Desktop to google drive storage
You can use a python packaged for that, such as https://github.com/iterative/PyDrive2
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Anyone have ideas or tutorial on how to save static files (images) to Google drive after deployment.
Not sure if this is what you're looking for, but there are wrappers to upload/retrieve from Google Drive. Check this out: https://github.com/iterative/PyDrive2
What are some alternatives?
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
fds - Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
cml_dvc_case
stremio-gdrive - Stremio addon for fetching videos from your google drive.
dataset-registry - Dataset registry DVC project
Google-Images-Search - [PYTHON] Search for image using Google Custom Search API and resize & crop afterwards
dvc - 🦉 ML Experiments and Data Management with Git
shtab - ↔️ Automagic shell tab completion for Python CLI applications
ZnTrack - Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.
gContacts2logseq - One way sync of your Google Contacts to your logseq graph