Embracing a Single Holistic Metric
A practical guide to migrating an existing DataParallel training setup to DistributedDataParallel, covering the wrapper, model, data loading, logging, and metrics.
How we borrowed the nightly build concept from software engineering and adapted it to deep learning — automating training, testing, and deployment of surgical AI models.
Should medical companies publish and share their research in scientific publications and conferences on a regular basis.
A practical PyTorch guide for training multi-task models on multiple unbalanced datasets.
What I learned looking for an on-premise multi GPU system for deep learning experiments.
How to add metrics and key-values generated while training a deep learning model in PyTorch to your checkpoints.