Code underlying the PhD thesis: Efficient Evolutionary Hyperparameter Optimization for Deep Learning

Code underlying the PhD thesis: Efficient Evolutionary Hyperparameter Optimization for Deep Learning. As the focus of the thesis is on hyperparameter optimization, code for the algorithms developed during the PhD research are included, namely ENCAS, PBT-NAS, IPBT, HyFree-S3, as well as code for comparing and evaluating previously existing PBT variants. A general readme file is included, as well as code directories, one per chapter/project, each containing its own readme file with instructions on reproducing the experiments.