mlf-core
client
Our great sponsors
| mlf-core | client | |
|---|---|---|
| 3 | 2 | |
| 45 | 90 | |
| - | - | |
| 0.0 | 9.8 | |
| about 1 year ago | 3 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
mlf-core
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[D] “Please Commit More Blatant Academic Fraud” (Blog post on problems in ML research by Jacob Buckman)
Link: https://github.com/mlf-core/mlf-core
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your ML workflow?
I am using mlf-core (Github: https://github.com/mlf-core/mlf-core) to make all of my projects fully CPU and GPU deterministic and reproducible. MLflow and Tensorboard allow me to explore my generated results interactively. Conda and Docker ensure a quick and reproducible runtime environment.
- Building an End-to-End Machine Learning Application From Idea to Deployment
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?
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igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
dvc - 🦉 ML Experiments and Data Management with Git
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.