> browse/registry
$ loading registry▋
found 2 skills in registry
> weights-and-biases
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
#MLOps#Weights And Biases#WandB
Orchestra-Research> ray-train
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.
#Ray Train#Distributed Training#Orchestration
Orchestra-Research