The MLE-Infrastructure provides a reproducible workflow for distributed ML experimentation (MLE) with minimal overhead:
Experiment Logging | Parameter Searches | Experiment Launch | Experiment Protocol | Experiment Manager |
mle-logging |
mle-hyperopt |
mle-scheduler |
mle-monitor |
mle-toolbox |