Frontiers16d
Multi-view united transformer block of graph attention network based autism spectrum disorder recognition
Furthermore, BrainGNN uses ROI-selection layer pooling (R-pool ... ideal for analyzing complex brain imaging data linked with ASD. The Transformer design includes an encoder-decoder structure, however ...
eLife4d
Exploring the repository of de novo-designed bifunctional antimicrobial peptides through deep learning
Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.
GitHub19d
spiegel21/transformer_encoder-decoder_demo
. ├── README.md ├── main.py # Main training script ├── transformer.py # Transformer model implementations ├── dataset.py # Dataset classes for both tasks ├── tokenizer.py # Simple word-level tokenizer ...
IEEE17d
Detection of Structure Deformation and Insulation Condition for Transformer Windings Based on High-Voltage Oscillating Wave
Abstract: The efficient and accurate detection of the mechanical structure and insulation condition of transformer windings is a key prerequisite for condition assessment and maintenance. However, an ...
GitHub1mon
transformer-tree-decoder.py
the first embedding (i.e. the decoder embedding) --> dimension (B, T1, E) x2: the second embedding (i.e. the encoder's embedding in the case of Transformer decoder) --> dimension (B, T2, E) ...