thecellardoor

4 ms·

1.
by thecellardoor 5y ago
As someone who looks at GitHub accounts as a resume, I can tell you that improvement over time is amazing to see. Assuming it’s clear what’s most interesting or recent.
2.
by thecellardoor 5y ago
Seems like life goals
3.
by thecellardoor 5y ago
Does this support distributed nodes within the DAG or does it assume everything runs on a single node?
4.
by thecellardoor 5y ago
Does the Pseudocode example work for complicated functions too? Or is it limited to really basic stuff? Cool ideas
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Show HN: FastDS – Open-Source Machine Learning Version Control. Fast and Easy(github.com)
1 points by thecellardoor 5y ago|0 comments
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Millisecond Latency MLOps and the CERN for ML: An Interview with HuggingFace CTO(youtube.com)
2 points by thecellardoor 5y ago|0 comments
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A Comparison of ML Experiment Tracking Tools(dagshub.com)
2 points by thecellardoor 6y ago|1 comments
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by thecellardoor 6y ago
There are so many options and this post tries to make some sense of the mess.
9.
A solution to the dark matter problem?(phys.org)
3 points by thecellardoor 6y ago|2 comments
10.
by thecellardoor 6y ago
This seems really interesting to me, but wanted a critical second opinion. Seems like a much more elegant solution than the alternatives
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Stop treating data as static. Datasets should behave like Git repositories(dagshub.com)
4 points by thecellardoor 6y ago|0 comments
12.
by thecellardoor 6y ago
This is oddly addictive. Just typing in stuff and see what colors it gives me :)
13.
by thecellardoor 6y ago
I think that by definition this is a tradeoff. Most times you talk to data scientists that want a fully automated end-2-end solution, that doesn't require they change anything about their current workflow, and that any future modificat
14.
by thecellardoor 6y ago
Congrats on the launch. To me this feels like DVC but with a slightly more convenient python API, and without the pipeline which might be really great. How are you organizing experiments though? Without Git it seems too easy to have experim
15.
by thecellardoor 6y ago
Looks really interesting! How do you connect the data and models in my project to the code, so you know what to merge? Also, any way to easily connect to an existing project on GitHub/GitLab?
16.
by thecellardoor 6y ago
There was this concept of objectives and counter objectives which was meant to combat Goodhart’s law. The idea was that you define what you want to measure and then define another metric which acts as regularization for the first. A good ex