An end-to-end deep learning framework based on Transformer model, adapted for tabular data domain, support both supervised and self-supervised learning, used for regression, classification tasks.
A powerful alternative to solve complex math questions with symbols. It does not give replacement to anything; we simply wish to contribute to new and powerful features. We hope these will constantly be retained with new support and implementations over the course of time, eventually branching into other math-indused systems.
