PyTorch implementations of RNN, GRU, LSTM, and BERT-based models for NLP question classification. Includes a from-scratch RNN forward pass, configurable BaseRNN with pooling strategies, and fine-tuned BERT (bert-base-uncased) for 6-class sequence classification using HuggingFace Transformers.