This project acts as both a tutorial and a demo to using Hyperopt with Keras, TensorFlow and TensorBoard. Not only we try to find the best hyperparameters for the given hyperspace, but also we ...

Hyperopt is a tool designed for hyperparameter optimisation in machine learning, utilising Bayesian optimisation techniques. It distinguishes itself by allowing users to describe the search space more ...

Mlflow have "experiments" as outer group in which runs are saved. This is useful when we have to compare runs which are intened for the same task. You can pass experiment name for each individual run.