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.
CITATION STYLE
Zhou, D. W., Wang, F. Y., Ye, H. J., & Zhan, D. C. (2023, September 1). PyCIL: a Python toolbox for class-incremental learning. Science China Information Sciences. Science Press (China). https://doi.org/10.1007/s11432-022-3600-y
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