Two quick examples on how to checkpoint and resume training in pytorch.

A quick step-by-step guide to benchmarking the resource requirements of training/testing deep learning models using ptflops.

Quick tutorial on how to use tensorboard to do initial hyperparameter tuning with pytorch lightning.

Building a simple API using FastAPI to interact with Stanford NLP's Alpaca model

Built a framework for simluating federated learning in realistic scenarios