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Dmitry Petrov
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Kudos to our amazing team for the successful launch of the DVC VSCode extension! 🌟🚀
Your creativity and effort have shaped this revolutionary tool!
DVC Extension for VS Code
Track machine learning experiments right in your IDE
The DVC extension for VS Code converts your favorite IDE into a one-stop shop for all your ML tasks. Run and track experiments, visualize and compare experiments to discover the best models, and manage reproducible pipelines — all from the comfort of your IDE.
DVC Extension for VS Code
Track machine learning experiments right in your IDE
Dmitry Petrov
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Hey everyone, our team is working on open-source tools for data scientists: dvc.org and cml.dev. These two products help ML teams track ML experiments and run training in the cloud using Git & GitOps approach.
Today we are launching DVC Studio - User Interface for DVC and CML. This UI works on top of GitLab, GitHub or BitBucket and extends it by ML specific scenarios:
- Visualizing...
DVC Studio
Machine Learning Experiments based on Git
Extend your GitHub, GitLab or BitBucket with metrics dashboard, graphs and the ability to run ML experiments in clouds (AWS, Azure, Kubernetes).
DVC Studio
Machine Learning Experiments based on Git
CML, a new open-source project. It augments GitHub Actions & GitLab CI by ML specific functionality:
- generate metrics changes and visual reports
- transfers data to the CI runner
- helps to provision CPU/GPU cloud instances (EC2, Azure, GCP, Ali)
CML - CI/CD for Machine Learning
Use GitHub Actions & GitLab CI for Machine Learning
Dmitry Petrov
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Hi, Dmitry here! I’m a co-creator of Continuous Machine Learning, or CML for short: https://github.com/iterative/cml
CI/CD is a well-established practice in software development. However, it is not easy to use CI/CD in with ML. That’s why CML addresses three hurdles for making ML work with CI:
1. In ML, pass/fail tests aren't enough. CML helps to bring metrics and data visualizations to CI/CD...
CML - CI/CD for Machine Learning
Use GitHub Actions & GitLab CI for Machine Learning
Dmitry Petrov
left a comment
Neat idea!
Could you please clarify how it works without storing my data? Purely through APIs?
Btw… I also use InVisionapp. Can you find comments from there?
Pensieve
All your data in one safe, convenient place
Data Version Control is an open source tool to manage your code and data together.
One of the biggest challenges in reusing, and hence the managing of ML projects, it its reproducibility.
To address the reproducibility we have build Data Version Control or the DVC tool.
Data Version Control. Beta release.
Git extension for data scientists: orchestrate code and data