Transformer Encoder/Decoder

CAT-EDNet: Cross-Attention Transformer-Based Encoder–Decoder Network for Salient Defect ...

Abstract: The morphologies of various surface defects on strip steel suffer from oil stain, water drops, steel textures, and erratic illumination. It is still challenging to recognize defect boundary ...

GitHub

Harsha081459/Question-Answer-System-with-a-Custom-Transformer-Encoder-and-Generative-Decoder

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

IEEE

Temporal Convolutional and Fusional Transformer Model With Bi-LSTM Encoder-Decoder for ...

Abstract: Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of ...

Juan Olano’s Post

𝐀 𝐫𝐮𝐥𝐞 𝐨𝐟 𝐭𝐡𝐮𝐦𝐛 𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬 𝐟𝐫𝐨𝐦 𝐬𝐜𝐫𝐚𝐭𝐜𝐡 I have trained lots of transformers from scratch. Mostly encoders but also decoders. I have not ...

GitHub

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers

This repository contains the implementation for the paper: MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers by Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, ...

Nature

Solar energy articles from across Nature Portfolio

Atmospheric water harvesting helps unlock clean water access wherever it is needed but practical deployment remains limited by low water productivity. A modular, field-portable, and solar-powered ...

Nature

Deep learning for automatic segmentation of the inferior alveolar nerve using a hybrid CNN ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...