GitHub

Multimodal Transformers | Transformers with Tabular Data

A toolkit for incorporating multimodal data on top of text data for classification and regression tasks. It uses HuggingFace transformers as the base model for text features. The toolkit adds a ...
MUO on MSN

I finally stopped breaking Excel formulas after learning this one referencing trick

What finally helped me break that cycle was learning to use named ranges in Excel not only as stable anchors but also as ...
GitHub

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

pytorch-widedeep is based on Google's Wide and Deep Algorithm, adjusted for multi-modal datasets. In general terms, pytorch-widedeep is a package to use deep learning with tabular data. In particular, ...
IEEE

Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN

Abstract: Spiking neural networks (SNNs) have shown advantages in computation and energy efficiency over traditional artificial neural networks (ANNs) thanks to their event-driven representations.
Reuters

Germany to classify date rape drugs as weapons in trials

BERLIN, Nov 21 (Reuters) - Germany plans to treat the use of date rape drugs like the use of a weapon in prosecutions, as part of broader measures to ensure justice for victims of domestic violence ...