This repository is composed of the compilation of several python routines that I have built and used among multiple projects. The routines found in here were developed to speed-up the experimentation process and use them as part of Jupyter Notebook pipelines.
The 'anomaly_detection' and 'classification' folders contain modules designed specifically for these use cases. 'colab_file_management.py' contains functions that makes experiment storing and file management in Google Colab friendly. Most of its functions are designed to work with images. Moreover, 'image_processing.py' compile a set of functions designed to enhance image classification models (machine learning) performance.