AutoML Examples

Compilation of programs for various topics in AutoML using the Ray framework from UC Berkeley's RiseLab

Examples:

set_env_vars_example.py
-- how to start off actors in Ray Tune with different environment variables
pytorch_hparams.py
-- classic example of finding optimal hyperparameters for simple mnist classifying CNN
naive_pytorch_nas.py
-- very simple example of naive neural architecture search with simple mnist classifying CNN
-- naive because this is effectively just another hyperparameter sweep, not actual architecture search
tune_resnet50.py
-- tuning inference time for resnet50 with imagenet weights.
-- uses Intel Optimized tensorflow