This repository contains the official implementation of gcForest as described in the IJCAI-2017 paper ‘Deep Forest: Towards an Alternative to Deep Neural Networks’. The implementation provides a Python library for building cascade forest structures using random forests as base learners, combining multiple layers of ensemble classifiers for feature representation learning. The code includes demo scripts for training and evaluation on custom datasets.