rhythmvertigo

4 ms·

1. 1.▲
   GitHub Actions with R for Data Science (Video Tutorial)(youtube.com)

   3 points by rhythmvertigo 6y ago|0 comments
2. 2.▲
   Cloud Data Sync Methods and Benchmark: DVC vs. Rclone(dvc.org)

   2 points by rhythmvertigo 6y ago|0 comments
3. 3.▲
   by rhythmvertigo 6y ago

   Iterative (DVC) | Full Time | Technical Community Manager | Remote We are the company behind very popular open-source tools for ML workflow- DVC.org and CML.dev. We are solving the complexity of managing datasets, ML infrastructure, ML mode
4. 4.▲
   by rhythmvertigo 6y ago

   coooool! going to try this out :)
5. 5.▲
   by rhythmvertigo 6y ago

   Yep, it will work with your GPUs! You just set up self-hosted runners as usual https://docs.gitlab.com/runner/ GitHub & GitLab have both made it quite easy to use your own resources as runners. I recently met someo
6. 6.▲
   by rhythmvertigo 6y ago

   Yes, we're aiming to have another at the end of July! If you have a particular use case you're interested in, we'd love to know. We might be able to develop some materials around it.
7. 7.▲
   by rhythmvertigo 6y ago

   Really glad to hear that, rkaplan. Let us know if we can be of any help!
8. 8.▲
   by rhythmvertigo 6y ago

   Definitely- automatic model deployment would only work for a subset of applications. We think a lot more about having models available as candidates for deployment, which can then be inspected by domain experts on a team. One of our motivat
9. 9.▲
   by rhythmvertigo 6y ago

   Out of curiosity, what kind of research? I'm very interested in getting DVC and Git more broadly into academic research circles, but finding a lot of barriers in my home field.
10. 10.▲
    by rhythmvertigo 6y ago

    Thanks for the kind words! DevOps has had profound results and we think culturally and technically, it's the right moment to push for those practices in ML.
11. 11.▲
    by rhythmvertigo 6y ago

    Yeah, we were seeing a lot of users organically asking about CI/CD. DVC had to come first to address some of the data management issues, which seemed like the biggest hurdle to CI. But we're excited to add this now.
12. 12.▲
    by rhythmvertigo 6y ago

    Thanks! Hashicorp is our inspiration :D
13. 13.▲
    by rhythmvertigo 6y ago

    Thanks, and good questions! 1. Yes! Let me link some reports and example repos: - A basic classification problem with scikit learn: https://github.com/iterative/cml_base_case/pull/2 - CML with DVC & Vega-
14. 14.▲
    by rhythmvertigo 6y ago

    Hi, I'm one of the project creators. Continuous Machine Learning (CML) is an open source project to help ML projects use CI/CD with Github Actions and Gitlab CI ( https://github.com/iterative/cml ). CML automat
15. 15.▲
    Show HN: Continuous Machine Learning – CI/CD for Machine Learning Projects(cml.dev)

    171 points by rhythmvertigo 6y ago|38 comments
16. 16.▲
    by rhythmvertigo 6y ago

    We have a lot in store here- we are unrolling a new tool for CI/CD soon that works with GitHub Actions & GitLab CI. Adding run-cache to DVC 1.0 is just one way of preparing for more CI/CD uses of DVC. (FYI I am part of DVC)