DVC
mlops tool
Data Version Control for ML
Supported languages
Concepts
dvc-filesremotespipelinesmetricsparams
Pros and Cons
Ventajas
- + Git for data and models
- + Experiment reproducibility
- + Storage agnostic
- + Declarative pipelines
- + Open-source
Desventajas
- - Learning curve
- - Can get complex in large teams
- - CLI-focused
Casos de Uso
- Dataset versioning
- ML experiment tracking
- Pipeline reproducibility
- Data collaboration