This repository contains jupyter notebooks demonstrating the use of PyTorch for binary classification, multiclass classification, and regression tasks. The datasets used in these examples are ...

The following are the design principles for the library: PyTorch Tabular aims to make dealing with Neural Networks’ software engineering as straightforward and painless as possible, enabling you to ...

But recently there have been newer models created specifically for tabular data, which is pushing the performance bar. But popularity is still a challenge because there is no easy, ready-to-use ...

We aim to facilitate deep learning research on tabular data by modularizing its implementation and supporting the diverse column types. Integrates with Diverse Model Architectures like Large Language ...

With the rise of deep learning, building sophisticated language models is more accessible because of frameworks like PyTorch ... a model is optimized for the task of prediction of the next word in a ...