NeuralClassifier provides implementations of multiple neural text encoders including TextCNN, TextRNN, RCNN, Transformer, and FastText for text classification tasks. It supports binary, multi-class, multi-label, and hierarchical multi-label classification scenarios. Built entirely on PyTorch, the toolkit enables quick experimentation with different model architectures for document classification.