TINTOlib Benchmark v0.0.2

This zip contains the resources and code for the study: "Improving the Use of Deep Neural Networks with Tabular Data by Exploiting Synthetic Images." It benchmarks eight tabular-to-image transformation techniques and evaluates their effectiveness in combination with hybrid architectures (CNN+MLP and ViT+MLP) across diverse datasets and machine learning tasks. Github repository: https://github.com/manwestc/TINTOlib-benchmark