The project aims to test the performance of Julia’s Deep Learning ecosystem using Flux.jl package against Python’s PyTorch and assess whether Julia’s motto of “Looks like Python, feels like Lisp, runs like C/Fortran” is justified. The results are based on detailed benchmarking analysis of PyTorch and Flux.jl performances on Neural Network training and hyperparameter optimization over the High-Performance Computing system.