A powerful and flexible Python library designed to simplify the training and fine-tuning of modern foundation models on tabular data. Provides a high-level, scikit-learn-compatible API that abstracts ...
This research aims to develop a ResNet Tabular model for classifying student mental health using machine learning techniques. The ResNet Tabular model adapts the ResNet architecture for tabular data, ...
How can components be designed for an optimal balance of minimal weight and maximum robustness? This is a challenge faced by many industries, from medical device manufacturing to the automotive and ...
Abstract: Due to the fundamental differences in structure between tabular data and image data, CNNs (Convolutional Neural Networks) are challenging to apply directly to the analysis and classification ...
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