ray-train
orchestra-research934 installs
Scale your model training across machines.
What it does
Guides the adaptation of machine-learning training code for distributed execution and large-scale hyperparameter searches.
When to use it
Use for multi-machine training, large-scale hyperparameter tuning, fault tolerance, or elastic scaling.
How to use it
It changes how the agent adapts training code to distribute work across GPUs and machines with Ray Train.
What you provide
- An existing project
Latest review
What you need · 2
Uses Ray's training package for distributed training; the quick start includes its installation.
The basic training workflow imports PyTorch for model construction and optimization.
Access · 2
This skill
ray[train]
Execute
Installs or upgrades Ray Train
ray
Execute
Starts Ray cluster processes