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| domain | dagshub.com |
| summary | The content discusses a comprehensive approach to manage and organize different aspects of an experiment, such as code versions, datasets, machine learning (ML) models, and configurations. It suggests using popular open-source tools like DVC (Domain-specific Version Control), MLflow (Machine Learning Lifecycle Management Tool), Label Studio (Data labeling tool), and Jenkins (Automation server). These tools can help track experiment progress, automate tasks, label data, version datasets and models, and maintain overall efficiency in the process. |
| title | Open Source Data Science Collaboration - DagsHub |
| description | DagsHub is where people build machine learning projects. DagsHub helps AI teams build better models and manage their data effectively. |
| keywords | data, tools, models, source, open, project, code, experiments, annotations, need, view, single, science, computer, contact, blog, platform |
| upstreams | hacktoberfest.com |
| downstreams | |
| nslookup | A 35.186.200.224 |
| screenshot |  |
| created | 2024-02-26 |
| updated | 2024-02-26 |
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