It's essentially a toolbox stuffed with everything you'll need to go from experimentation to production:
- There's a fully fledged experiment manager that can log, compare, and automatically reproduce any experiment you do
- A data versioning tool that can track changes to your datasets and makes them easily accessible to anyone on any machine
- Orchestrate pipelines from code
- Run hyperparameter optimization
- and auto scale remote workers on AWS, GCP and Azure.
Doesn't matter if you're starting small or already in production, there's always a ClearML tool that can make your life easier.
Start for free at app.clear.ml or host your own server from our GitHub page.