Initial Model Implementation & Reproduction

[weihua916]

We aim to include four popular models in the initial release. This issue keeps track of our progress.

FT-Transformer @kaidic @weihua916

• [x] Initial implementation https://github.com/pyg-team/pytorch-frame/pull/12
• [x] Initial implementation of LinearBucketEncoder and LinearPeriodicEncoder. https://github.com/pyg-team/pytorch-frame/pull/30 https://github.com/pyg-team/pytorch-frame/pull/31
• [x] Include at least 2 datasets from the paper https://github.com/pyg-team/pytorch-frame/pull/37
• [x] Reproducibility of FT-Transformer
• [x] Reproducibility of ResNet.
• [x] Reproducibility of LinearBucketEncoder ad LinearPeriodicEncoder.

Trompt @weihua916

• [x] Initial implementation https://github.com/pyg-team/pytorch-frame/pull/25
• [x] Include at least 2 datasets from the paper https://github.com/pyg-team/pytorch-frame/pull/33
• [x] Reproducibility https://github.com/pyg-team/pytorch-frame/pull/39

TabNet @zechengz @weihua916

• [x] Initial implementation
• [x] Include at least 2 datasets from the paper
• [x] Reproducibility

ExcelFormer @yiweny

• [x] Initial implementation
• [x] Include at least 2 datasets from the paper
• [x] Reproducibility

TabTransformer @yiweny

• [x] Initial implementation
• [x] Include at least 2 datasets from the paper
• [x] Reproducibility

Example encoding + self-attention + sum pooling @weihua916

• [x] example code. https://github.com/pyg-team/pytorch-frame/pull/54

[weihua916]

Completed!