tab-transformer-pytorch
This Tab Transformer implements attention-driven architecture for tabular data in PyTorch, close to GBDT performance. It features straightforward setup, supports binary and diverse prediction types, and optimizes deep learning for structured datasets. Compare it with FT Transformer for improved numerical embeddings and explore unsupervised training options. Stay informed on the latest developments in modeling tabular data.
