Use Cases¶
This section is intended to show you what you can do with DagsHub beyond the basics. These guides are intended to make you more efficient and productive while developing and deploying machine learning models.
Manage Datasets
Create training-ready datasets for ML training with our Data Engine
Version Datasets and Code
Version data and code as part of an ML project
Track ML Experiments
Track ML experiments and log them to DagsHub
Annotate Datasets
Annotate your data from DagsHub
Active Learning
Create active learning pipelines with our Data Engine
Reproduce ML Experiments
Reproduce results of ML experiments
Build Data Pipelines
Build and manage reproducible data pipelines
Build Custom Dataloader
Build custom dataloaders to stream data from DagsHub
Deploy ML Models
Deploy ML model from DagsHub to a cloud platform
Data Science Peer Review
Conduct peer review as part of a data science project