mlf-core
covalent
Our great sponsors
| mlf-core | covalent | |
|---|---|---|
| 3 | 4 | |
| 45 | 689 | |
| - | 8.6% | |
| 0.0 | 8.9 | |
| about 1 year ago | 13 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
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
covalent
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Remote execution of code
Pretty interesting request, if SSH is not used, i would try using something like dask which uses tcp to connect and execute assuming your workers are in another machine.I also think something like covalent can be used to extend your own custom plugin in their ecosystem to connect how you want. We have a very custom private plugin written on top of covalent's to have a custom protocol to connect our central on-prem GPU machines to our local laptops that is rpc based, mostly for high performance as well as some mandate security from where the GPU machines are. Once done it is pretty much something like
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Prefect alternatives meant for Slurm (HPC)
Does anyone here have any suggestions of alternatives tailored for Slurm on HPC? I know Covalent is one option, but I'm curious about others as well. Ideally the platform should be Pythonic, have a GUI, and be reasonably active/well-maintained.
- Show HN: Covalent – distributed computing for ML, HPC and Quantum (open source)
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Your strategies for offloading computation
Came across this new tool exactly for this - https://github.com/AgnostiqHQ/covalent
What are some alternatives?
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