example-get-started
client
Our great sponsors
| example-get-started | client | |
|---|---|---|
| 2 | 2 | |
| 167 | 90 | |
| 0.0% | - | |
| 0.0 | 9.8 | |
| about 2 months ago | 4 days ago | |
| Python | Python | |
| - | MIT License |
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.
client
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It was not "Good First Issue"
it was really all there, so what did I do?, I commented took the issue Issue 366 I mean it sounded simple enough, update a function so that we can downlaod all data with no arguments involved.
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[P] Stream and Upload Versioned Data
Check out the official project https://github.com/dagshub/client
What are some alternatives?
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]
PyDrive2 - Google Drive API Python wrapper library. Maintained fork of PyDrive.
analog-watch-recognition - Reading time from analog clocks
cml_dvc_case
features - A collection of development container 'features' for machine learning and data science
dataset-registry - Dataset registry DVC project
pubmedflow - Data Collection API for pubmed
dvc - 🦉 ML Experiments and Data Management with Git
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
ZnTrack - Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code