PyCIL: a Python toolbox for class-incremental learning

Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan

Abstract: We have presented PyCIL, a classincremental learning toolbox written in Python. It contains implementations of a number of founding studies of CIL, but also provides current state-of-the-art algorithms that can be used to conduct novel fundamental research. Code consistency makes it an easy tool for research purposes, teaching, and industrial applications.