DVC
p/dvc
Data Version Control for the GenAI Era
Tristan Pollock
DVC Studio — Machine Learning Experiments based on Git
Featured
4
Extend your GitHub, GitLab or BitBucket with metrics dashboard, graphs and the ability to run ML experiments in clouds (AWS, Azure, Kubernetes).
Replies
Dmitry Petrov
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 dashboard of ML experiments - Graphs for your ML training - Manages connections to your clouds - data is not stored in Git, but cloud storages :) - Modify hyperparameters in UI & run ML experiments in clouds or Kubernetes All of this through Git, GitOps paradigm and with connection to GitLab, GitHub and BitBucket. Looking forward to your feedback!
Tristan Pollock
@fullstackml love it!
Nikolay Karelin
Will your free plan support private repositories?
Dmitry Petrov
@nikolay_karelin yes, the free plan does support private repositories!